Research Group Stefan Feuerriegel
Stefan Feuerriegel
Prof. Dr.
Principal Investigator
Stefan Feuerriegel
is the Head of the Institute of Artificial Intelligence (AI) in Management at LMU Munich.
His research focuses on developing AI algorithms to support data-driven decision-making for businesses and public organizations. He is also dedicated to advancing ‘AI for good’, aiming to create positive social impact through responsible and ethical AI applications.
Team members @MCML
PhD Students
Dominik Bär
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Nils Brockmann
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Marie Brockschmidt
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Octavia-Andreea Ciora
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Kerstin Forster
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Dennis Frauen
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Dominique Geissler
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Konstantin Heß
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Pascal Janetzky
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Emil Javurek
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Yuchen Ma
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Abdurahman Maarouf
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Sebastian Maier
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Valentyn Melnychuk
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Simon Schallmoser
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Maresa Schröder
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Jonas Schweisthal
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Yuxin Wang
→ Group Stefan Feuerriegel
Artificial Intelligence in Management
Recent News @MCML
Publications @MCML
2025
[96]
Y. Wang • D. Frauen • J. Schweisthal • S. Feuerriegel
How reliable are treatment effects in clinical trials with dropout?
CauScien @NeurIPS 2025 - Workshop on Uncovering Causality in Science at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL
How reliable are treatment effects in clinical trials with dropout?
CauScien @NeurIPS 2025 - Workshop on Uncovering Causality in Science at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL
[95]
Y. Ma • D. Frauen • J. Schweisthal • S. Feuerriegel
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available.
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available.
[94]
Z. Jonassen • K. Lawrence • B. M. Wiesenfeld • S. Feuerriegel • D. Mann
A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies.
CSCW 2025 - 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. Bergen, Norway, Oct 18-22, 2025. To be published. Preprint available. DOI
A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies.
CSCW 2025 - 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. Bergen, Norway, Oct 18-22, 2025. To be published. Preprint available. DOI
[93]
L. Skapetze • D. Koller • A. Zwergal • S. Feuerriegel • A. Rubinski • E. Grill
Monitoring changes in vitamin D levels during the COVID-19 pandemic with routinely-collected laboratory data.
Nature Communications 16.8772. Oct. 2025. DOI
Monitoring changes in vitamin D levels during the COVID-19 pandemic with routinely-collected laboratory data.
Nature Communications 16.8772. Oct. 2025. DOI
[92]
E. Javurek • V. Melnychuk • J. Schweisthal • K. Hess • D. Frauen • S. Feuerriegel
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes.
Preprint (Oct. 2025).
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes.
Preprint (Oct. 2025).
[91]
A. Khot • M. Oprescu • M. Schröder • A. Kagawa • X. Luo
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference.
Preprint (Oct. 2025).
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference.
Preprint (Oct. 2025).
[90]
A. Maarouf • K. T. Greene • J. N. Shapiro • S. Feuerriegel • M. H. Ribeiro
Short-form video platforms drive mobile overuse.
Preprint (Oct. 2025). DOI
Short-form video platforms drive mobile overuse.
Preprint (Oct. 2025). DOI
[89]
Y. Wang • D. Frauen • J. Schweisthal • M. Schröder • S. Feuerriegel
Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring.
Preprint (Oct. 2025).
Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring.
Preprint (Oct. 2025).
[88]
M. Brockschmidt • M. Schröder • S. Feuerriegel
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis.
Preprint (Sep. 2025).
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis.
Preprint (Sep. 2025).
[87]
L. Hölbling • S. Maier • S. Feuerriegel
The Persuasive Power of LLMs: A Systematic Literature Review and Meta-Analysis.
Preprint (Sep. 2025). DOI
The Persuasive Power of LLMs: A Systematic Literature Review and Meta-Analysis.
Preprint (Sep. 2025). DOI
[86]
V. Melnychuk • S. Feuerriegel
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes.
Preprint (Sep. 2025).
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes.
Preprint (Sep. 2025).
[85]
V. Melnychuk • D. Frauen • J. Schweisthal • S. Feuerriegel
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation.
Preprint (Sep. 2025).
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation.
Preprint (Sep. 2025).
[84]
J. Persson • S. Feuerriegel • C. Kadar
Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning.
Preprint (Sep. 2025). DOI
Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning.
Preprint (Sep. 2025). DOI
[83]
H. Tenzer • O. Abidi • S. Feuerriegel
Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation.
Preprint (Sep. 2025).
Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation.
Preprint (Sep. 2025).
[82]
Y. Ma • J. Schweisthal • H. Zhang • S. Feuerriegel
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
KDD 2025 - 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. DOI
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
KDD 2025 - 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. DOI
[81]
P. Spitzer • D. Hendriks • J. Rudolph • S. Schläger • J. Ricke • N. Kühl • B. F. Hoppe • S. Feuerriegel
The effect of medical explanations from large language models on diagnostic accuracy in radiology.
Preprint (Aug. 2025). DOI
The effect of medical explanations from large language models on diagnostic accuracy in radiology.
Preprint (Aug. 2025). DOI
[80]
D. Bär
Computational approaches to enhance the integrity of social media: from detection to intervention.
Dissertation LMU München. Jul. 2025. DOI
Computational approaches to enhance the integrity of social media: from detection to intervention.
Dissertation LMU München. Jul. 2025. DOI
[79]
J. Schweisthal • D. Frauen • M. Schröder • K. Heß • N. Kilbertus • S. Feuerriegel
Learning Representations of Instruments for Partial Identification of Treatment Effects.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Learning Representations of Instruments for Partial Identification of Treatment Effects.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
[78]
D. Geissler • A. Maarouf • D. Bär • N. Pröllochs • S. Feuerriegel
A comment on 'A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout'.
I4R Discussion Paper Series.237. Jul. 2025. URL
A comment on 'A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout'.
I4R Discussion Paper Series.237. Jul. 2025. URL
[77]
J. Weberpals • S. Feuerriegel • M. van der Schaar • K. L. Kehl
Opportunities for Causal Machine Learning in Precision Oncology.
NEJM AI 2.8. Jul. 2025. DOI
Opportunities for Causal Machine Learning in Precision Oncology.
NEJM AI 2.8. Jul. 2025. DOI
[76]
D. Geissler • C. Robertson • S. Feuerriegel
Digital literacy interventions can boost humans in discerning deepfakes.
Preprint (Jul. 2025).
Digital literacy interventions can boost humans in discerning deepfakes.
Preprint (Jul. 2025).
[75]
Y. Ozyurt • T. Almaci • S. Feuerriegel • M. Sachan
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing.
Preprint (Jul. 2025).
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing.
Preprint (Jul. 2025).
[74]
Y. Ma • D. Frauen • E. Javurek • S. Feuerriegel
Foundation Models for Causal Inference via Prior-Data Fitted Networks.
Preprint (Jun. 2025).
Foundation Models for Causal Inference via Prior-Data Fitted Networks.
Preprint (Jun. 2025).
[73]
S. Schallmoser • J. Schweisthal • A. von Ehr • H. Ghanbari • F. Schiefenhövel • T. S. Valley • J. Wiens • S. Feuerriegel
Causal machine learning for assessing the effectiveness of off-label use of amiodarone in new-onset atrial fibrillation.
Preprint (Jun. 2025). DOI
Causal machine learning for assessing the effectiveness of off-label use of amiodarone in new-onset atrial fibrillation.
Preprint (Jun. 2025). DOI
[72]
C. Kern • U. Fischer-Abaigar • J. Schweisthal • D. Frauen • R. Ghani • S. Feuerriegel • M. van der Schaar • F. Kreuter
Algorithms for reliable decision-making need causal reasoning.
Nature Computational Science 5. May. 2025. DOI
Algorithms for reliable decision-making need causal reasoning.
Nature Computational Science 5. May. 2025. DOI
[71]
D. Frauen • V. Melnychuk • J. Schweisthal • M. van der Schaar • S. Feuerriegel
Treatment Effect Estimation for Optimal Decision-Making.
Preprint (May. 2025).
Treatment Effect Estimation for Optimal Decision-Making.
Preprint (May. 2025).
[70]
D. Frauen • M. Schröder • K. Hess • S. Feuerriegel
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data.
Preprint (May. 2025).
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data.
Preprint (May. 2025).
[69]
N. Holzner • S. Maier • S. Feuerriegel
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis.
Preprint (May. 2025).
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis.
Preprint (May. 2025).
[68]
M. Schröder • J. Hartenstein • S. Feuerriegel
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects.
Preprint (May. 2025).
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects.
Preprint (May. 2025).
[67]
D. Geißler • A. Maarouf • S. Feuerriegel
Analyzing User Characteristics of Hate Speech Spreaders on Social Media.
WWW 2025 - ACM Web Conference. Sydney, Australia, Apr 28-May 02, 2025. DOI
Analyzing User Characteristics of Hate Speech Spreaders on Social Media.
WWW 2025 - ACM Web Conference. Sydney, Australia, Apr 28-May 02, 2025. DOI
[66]
K. Forster • V. Wagner • L. Keil • M. A. Müller • T. Sellhorn • S. Feuerriegel
Tracking ESG Disclosures of European Companies with Retrieval-Augmented Generation.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Tracking ESG Disclosures of European Companies with Retrieval-Augmented Generation.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[65]
D. Frauen • K. Heß • S. Feuerriegel
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[64]
K. Heß • S. Feuerriegel
Stabilized Neural Prediction of Potential Outcomes in Continuous Time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Stabilized Neural Prediction of Potential Outcomes in Continuous Time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[63]
M. Schröder • V. Melnychuk • S. Feuerriegel
Differentially private learners for heterogeneous treatment effects.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Differentially private learners for heterogeneous treatment effects.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[62]
Y. Wang • M. Schröder • D. Frauen • J. Schweisthal • K. Heß • S. Feuerriegel
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[61]
A. Maarouf • S. Feuerriegel • N. Pröllochs
A fused large language model for predicting startup success.
European Journal of Operational Research 322.1. Apr. 2025. DOI
A fused large language model for predicting startup success.
European Journal of Operational Research 322.1. Apr. 2025. DOI
[60]
D. Martens • G. Shmueli • T. Evgeniou • K. Bauer • C. Janiesch • S. Feuerriegel • S. Gabel • S. Goethals • T. Greene • N. Klein • M. Kraus • N. Kühl • C. Perlich • W. Verbeke • A. Zharova • P. Zschech • F. Provost
Beware of 'Explanations' of AI.
Preprint (Apr. 2025).
Beware of 'Explanations' of AI.
Preprint (Apr. 2025).
[59]
D. Bär • N. Pröllochs • S. Feuerriegel
The role of social media ads for election outcomes: Evidence from the 2021 German election.
PNAS Nexus.pgaf073. Mar. 2025. DOI
The role of social media ads for election outcomes: Evidence from the 2021 German election.
PNAS Nexus.pgaf073. Mar. 2025. DOI
[58]
P. Spitzer • D. Hendriks • J. Rudolph • S. Schläger • J. Ricke • N. Kühl • B. F. Hoppe • S. Feuerriegel
The effect of medical explanations from large language models on diagnostic decisions in radiology.
Preprint (Mar. 2025). DOI
The effect of medical explanations from large language models on diagnostic decisions in radiology.
Preprint (Mar. 2025). DOI
[57]
D. Tschernutter • S. Feuerriegel
Data-driven dynamic police patrolling: An efficient Monte Carlo tree search.
European Journal of Operational Research 321.1. Feb. 2025. DOI
Data-driven dynamic police patrolling: An efficient Monte Carlo tree search.
European Journal of Operational Research 321.1. Feb. 2025. DOI
[56]
S. Feuerriegel • A. Maarouf • D. Bär • D. Geißler • J. Schweisthal • N. Pröllochs • C. E. Robertson • S. Rathje • J. Hartmann • S. M. Mohammad • O. Netzer • A. A. Siegel • B. Plank • J. J. Van Bavel
Using natural language processing to analyse text data in behavioural science.
Nature Reviews Psychology 4. Feb. 2025. DOI
Using natural language processing to analyse text data in behavioural science.
Nature Reviews Psychology 4. Feb. 2025. DOI
[55]
K. Heß • D. Frauen • V. Melnychuk • S. Feuerriegel
Efficient and Sharp Off-Policy Learning under Unobserved Confounding.
Preprint (Feb. 2025).
Efficient and Sharp Off-Policy Learning under Unobserved Confounding.
Preprint (Feb. 2025).
[54]
V. Melnychuk • D. Frauen • J. Schweisthal • S. Feuerriegel
Orthogonal Representation Learning for Estimating Causal Quantities.
Preprint (Feb. 2025).
Orthogonal Representation Learning for Estimating Causal Quantities.
Preprint (Feb. 2025).
[53]
Y. Feng • S. Feuerriegel • Y. R. Shrestha
Contextualizing Recommendation Explanations with LLMs: A User Study.
Preprint (Jan. 2025).
Contextualizing Recommendation Explanations with LLMs: A User Study.
Preprint (Jan. 2025).
2024
[52]
Y. Ma • V. Melnychuk • J. Schweisthal • S. Feuerriegel
DiffPO: A causal diffusion model for learning distributions of potential outcomes.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
DiffPO: A causal diffusion model for learning distributions of potential outcomes.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
[51]
V. Melnychuk • S. Feuerriegel • M. van der Schaar
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
[50]
J. Senoner • S. Schallmoser • B. Kratzwald • S. Feuerriegel • T. Netland
Explainable AI improves task performance in human–AI collaboration.
Scientific Reports 14.31150. Dec. 2024. DOI
Explainable AI improves task performance in human–AI collaboration.
Scientific Reports 14.31150. Dec. 2024. DOI
[49]
A. Bashardoust • S. Feuerriegel • Y. R. Shrestha
Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI
Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI
[48]
D. Geißler • S. Feuerriegel
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI
[47]
A. Maarouf • N. Pröllochs • S. Feuerriegel
The Virality of Hate Speech on Social Media.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI
The Virality of Hate Speech on Social Media.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI
[46]
D. Bär • A. Maarouf • S. Feuerriegel
Generative AI may backfire for counterspeech.
Preprint (Nov. 2024).
Generative AI may backfire for counterspeech.
Preprint (Nov. 2024).
[45]
P. Janetzky • T. Schlagenhauf • S. Feuerriegel
Slowing Down Forgetting in Continual Learning.
Preprint (Nov. 2024).
Slowing Down Forgetting in Continual Learning.
Preprint (Nov. 2024).
[44]
Y. Ozyurt • S. Feuerriegel • M. Sachan
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing.
Preprint (Oct. 2024).
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing.
Preprint (Oct. 2024).
[43]
Y. Ozyurt • S. Feuerriegel • C. Zhang
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models.
Preprint (Oct. 2024).
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models.
Preprint (Oct. 2024).
[42]
D. Tschernutter • M. Kraus • S. Feuerriegel
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.
Transactions on Machine Learning Research. Sep. 2024. URL
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.
Transactions on Machine Learning Research. Sep. 2024. URL
[41]
A. Bashardoust • Y. Feng • D. Geißler • S. Feuerriegel • Y. R. Shrestha
The Effect of Education in Prompt Engineering: Evidence from Journalists.
Preprint (Sep. 2024).
The Effect of Education in Prompt Engineering: Evidence from Journalists.
Preprint (Sep. 2024).
[40]
M. Kuzmanovic • D. Frauen • T. Hatt • S. Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI
Causal Machine Learning for Cost-Effective Allocation of Development Aid.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI
[39]
A. Maarouf • D. Bär • D. Geißler • S. Feuerriegel
HQP: A human-annotated dataset for detecting online propaganda.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI
HQP: A human-annotated dataset for detecting online propaganda.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI
[38]
D. Frauen • V. Melnychuk • S. Feuerriegel
Fair Off-Policy Learning from Observational Data.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL
Fair Off-Policy Learning from Observational Data.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL
[37]
J. Schweisthal • D. Frauen • M. Van der Schaar • S. Feuerriegel
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL
[36]
M. Schröder • D. Frauen • J. Schweisthal • K. Heß • V. Melnychuk • S. Feuerriegel
Conformal Prediction for Causal Effects of Continuous Treatments.
Preprint (Jul. 2024).
Conformal Prediction for Causal Effects of Continuous Treatments.
Preprint (Jul. 2024).
[35]
C. F. Naumzik • A. Kongsted • W. Vach • S. Feuerriegel
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain.
CHIL 2024 - 5th AHLI Conference on Health, Inference, and Learning . New York City, NY, USA, Jun 27-28, 2024. URL
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain.
CHIL 2024 - 5th AHLI Conference on Health, Inference, and Learning . New York City, NY, USA, Jun 27-28, 2024. URL
[34]
D. Bär • F. Pierri • G. De Francisci Morales • S. Feuerriegel
Systematic discrepancies in the delivery of political ads on facebook and instagram.
PNAS Nexus.pgae247. Jun. 2024. DOI
Systematic discrepancies in the delivery of political ads on facebook and instagram.
PNAS Nexus.pgae247. Jun. 2024. DOI
[33]
B. Felderer • L. Repke • W. Weber • J. Schweisthal • L. Bothmann
Predicting the Validity and Reliability of Survey Questions.
Preprint (Jun. 2024). DOI
Predicting the Validity and Reliability of Survey Questions.
Preprint (Jun. 2024). DOI
[32]
D. Frauen • F. Imrie • A. Curth • V. Melnychuk • S. Feuerriegel • M. van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
A Neural Framework for Generalized Causal Sensitivity Analysis.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
[31]
K. Heß • V. Melnychuk • D. Frauen • S. Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
[30]
V. Melnychuk • D. Frauen • S. Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
[29]
M. Schröder • D. Frauen • S. Feuerriegel
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
[28]
K. Heß • D. Frauen • V. Melnychuk • S. Feuerriegel
G-Transformer for Conditional Average Potential Outcome Estimation over Time.
Preprint (May. 2024).
G-Transformer for Conditional Average Potential Outcome Estimation over Time.
Preprint (May. 2024).
[27]
S. Feuerriegel • D. Frauen • V. Melnychuk • J. Schweisthal • K. Heß • A. Curth • S. Bauer • N. Kilbertus • I. S. Kohane • M. van der Schaar
Causal machine learning for predicting treatment outcomes.
Nature Medicine 30. Apr. 2024. DOI
Causal machine learning for predicting treatment outcomes.
Nature Medicine 30. Apr. 2024. DOI
[26]
M. Maritsch • S. Föll • V. Lehmann • N. Styger • C. Bérubé • M. Kraus • S. Feuerriegel • T. Kowatsch • T. Züger • E. Fleisch • F. Wortmann • C. Stettler
Smartwatches for non-invasive hypoglycaemia detection during cognitive and psychomotor stress.
Diabetes, Obesity and Metabolism 26.3. Mar. 2024. DOI
Smartwatches for non-invasive hypoglycaemia detection during cognitive and psychomotor stress.
Diabetes, Obesity and Metabolism 26.3. Mar. 2024. DOI
[25]
S. Feuerriegel • J. Hartmann • C. Janiesch • P. Zschech
Generative AI.
Business and Information Systems Engineering 66.1. Feb. 2024. DOI
Generative AI.
Business and Information Systems Engineering 66.1. Feb. 2024. DOI
[24]
V. Lehmann • T. Zueger • M. Maritsch • M. Notter • S. Schallmoser • C. Bérubé • C. Albrecht • M. Kraus • S. Feuerriegel • E. Fleisch • T. Kowatsch • S. Lagger • M. Laimer • F. Wortmann • C. Stettler
Machine Learning to Infer a Health State Using Biomedical Signals - Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
NEJM AI. Jan. 2024. DOI
Machine Learning to Infer a Health State Using Biomedical Signals - Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
NEJM AI. Jan. 2024. DOI
2023
[23]
M. von Zahn • O. Hinz • S. Feuerriegel
Locating disparities in machine learning.
IEEE BigData 2023 - IEEE International Conference on Big Data. Sorrento, Italy, Dec 15-18, 2023. DOI
Locating disparities in machine learning.
IEEE BigData 2023 - IEEE International Conference on Big Data. Sorrento, Italy, Dec 15-18, 2023. DOI
[22]
D. Frauen • V. Melnychuk • S. Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
Sharp Bounds for Generalized Causal Sensitivity Analysis.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
[21]
V. Melnychuk • D. Frauen • S. Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
[20]
J. Schweisthal • D. Frauen • V. Melnychuk • S. Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
Reliable Off-Policy Learning for Dosage Combinations.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
[19]
D. Geißler • D. Bär • N. Pröllochs • S. Feuerriegel
Russian propaganda on social media during the 2022 invasion of Ukraine.
EPJ Data Science. Dec. 2023. DOI
Russian propaganda on social media during the 2022 invasion of Ukraine.
EPJ Data Science. Dec. 2023. DOI
[18]
J. Rausch • G. Rashiti • M. Gusev • C. Zhang • S. Feuerriegel
DSG: An End-to-End Document Structure Generator.
ICDM 2023 - 23rd IEEE International Conference on Data Mining. Shanghai, China, Dec 01-04, 2023. DOI
DSG: An End-to-End Document Structure Generator.
ICDM 2023 - 23rd IEEE International Conference on Data Mining. Shanghai, China, Dec 01-04, 2023. DOI
[17]
S. Feuerriegel • R. DiResta • J. A. Goldstein • S. Kumar • P. Lorenz-Spreen • M. Tomz • N. Pröllochs
Research can help to tackle AI-generated disinformation.
Nature Human Behaviour 7. Nov. 2023. DOI
Research can help to tackle AI-generated disinformation.
Nature Human Behaviour 7. Nov. 2023. DOI
[16]
Y. R. Shrestha • G. von Krogh • S. Feuerriegel
Building open-source AI.
Nature Computational Science 3.11. Oct. 2023. DOI
Building open-source AI.
Nature Computational Science 3.11. Oct. 2023. DOI
[15]
Y. Ma • D. Frauen • V. Melnychuk • S. Feuerriegel
Counterfactual Fairness for Predictions using Generative Adversarial Networks.
Preprint (Oct. 2023).
Counterfactual Fairness for Predictions using Generative Adversarial Networks.
Preprint (Oct. 2023).
[14]
D. Bär • N. Pröllochs • S. Feuerriegel
New Threats to Society from Free-Speech Social Media Platforms.
Communications of the ACM 66.10. Sep. 2023. DOI
New Threats to Society from Free-Speech Social Media Platforms.
Communications of the ACM 66.10. Sep. 2023. DOI
[13]
M. Toetzke • B. Probst • S. Feuerriegel
Leveraging large language models to monitor climate technology innovation.
Environmental Research Letters 18.9. Sep. 2023. DOI
Leveraging large language models to monitor climate technology innovation.
Environmental Research Letters 18.9. Sep. 2023. DOI
[12]
V. Melnychuk • D. Frauen • S. Feuerriegel
Normalizing Flows for Interventional Density Estimation.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Normalizing Flows for Interventional Density Estimation.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
[11]
D. Bär • N. Pröllochs • S. Feuerriegel
Finding Qs: Profiling QAnon Supporters on Parler.
ICWSM 2023 - 17th International AAAI Conference on Web and Social Media. Limassol, Cyprus, Jun 05-08, 2023. DOI
Finding Qs: Profiling QAnon Supporters on Parler.
ICWSM 2023 - 17th International AAAI Conference on Web and Social Media. Limassol, Cyprus, Jun 05-08, 2023. DOI
[10]
D. Frauen • S. Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
Estimating individual treatment effects under unobserved confounding using binary instruments.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL
[9]
N. Banholzer • T. Mellan • H. J. T. Unwin • S. Feuerriegel • S. Mishra • S. Bhatt
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
Preprint (May. 2023).
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
Preprint (May. 2023).
[8]
D. Bär • F. Calderon • M. Lawlor • S. Licklederer • M. Totzauer • S. Feuerriegel
Analyzing Social Media Activities at Bellingcat.
WebSci 2023 - 15th ACM Web Science Conference 2023. Austin, TX, USA, Apr 30-May 01, 2023. DOI
Analyzing Social Media Activities at Bellingcat.
WebSci 2023 - 15th ACM Web Science Conference 2023. Austin, TX, USA, Apr 30-May 01, 2023. DOI
[7]
N. Pröllochs • S. Feuerriegel
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI
[6]
D. Frauen • T. Hatt • V. Melnychuk • S. Feuerriegel
Estimating Average Causal Effects from Patient Trajectories.
AAAI 2023 - 37th Conference on Artificial Intelligence. Washington, DC, USA, Feb 07-14, 2023. DOI
Estimating Average Causal Effects from Patient Trajectories.
AAAI 2023 - 37th Conference on Artificial Intelligence. Washington, DC, USA, Feb 07-14, 2023. DOI
[5]
S. Schallmoser • T. Zueger • M. Kraus • M. Saar-Tsechansky • C. Stettler • S. Feuerriegel
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.
Journal of Medical Internet Research 25. Feb. 2023. DOI
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.
Journal of Medical Internet Research 25. Feb. 2023. DOI
2022
[4]
E. Dorigatti • J. Schweisthal • B. Bischl • M. Rezaei
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.
Preprint (Sep. 2022). GitHub
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.
Preprint (Sep. 2022). GitHub
2020
[3]
V. Melnychuk • E. Faerman • I. Manakov • T. Seidl
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.
Workshop @CIKM 2020 - Workshop at the 29th ACM International Conference on Information and Knowledge Management. Galway, Ireland, Oct 19-23, 2020. PDF GitHub
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.
Workshop @CIKM 2020 - Workshop at the 29th ACM International Conference on Information and Knowledge Management. Galway, Ireland, Oct 19-23, 2020. PDF GitHub
[2]
M. Berrendorf • E. Faerman • V. Melnychuk • V. Tresp • T. Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR 2020 - 42nd European Conference on Information Retrieval. Virtual, Apr 14-17, 2020. DOI GitHub
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR 2020 - 42nd European Conference on Information Retrieval. Virtual, Apr 14-17, 2020. DOI GitHub
[1]
D. Davletshina • V. Melnychuk • V. Tran • H. Singla • M. Berrendorf • E. Faerman • M. Fromm • M. Schubert
Unsupervised Anomaly Detection for X-Ray Images.
Preprint (Jan. 2020). GitHub
Unsupervised Anomaly Detection for X-Ray Images.
Preprint (Jan. 2020). GitHub
©all images: LMU | TUM