06.05.2024
MCML at ICLR 2024
16 Accepted Papers (9 Main, and 7 Workshops)
12th International Conference on Learning Representations, Vienna, Austria, May 07-11, 2024
We are happy to announce that MCML researchers have contributed a total of 16 papers to ICLR 2024: 9 Main, and 7 Workshop papers. Congrats to our researchers!
Main Track (9 papers)
S. d'Ascoli • S. Becker • P. Schwaller • A. Mathis • N. Kilbertus
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL GitHub
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL GitHub
L. Eyring • D. Klein • T. Uscidda • G. Palla • N. Kilbertus • Z. Akata • F. J. Theis
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
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
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
C. Koke • D. Cremers
HoloNets: Spectral Convolutions do extend to Directed Graphs.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
HoloNets: Spectral Convolutions do extend to Directed Graphs.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
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
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
S. Solonets • D. Sinitsyn • L. Von Stumberg • N. Araslanov • D. Cremers
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
A. Vahidi • S. Schosser • L. Wimmer • Y. Li • B. Bischl • E. Hüllermeier • M. Rezaei
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL GitHub
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL GitHub
Workshops (7 papers)
S. Chen • Z. Han • B. He • Z. Ding • W. Yu • P. Torr • V. Tresp • J. Gu
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
SeT LLM @ICLR 2024 - Workshop on Secure and Trustworthy Large Language Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
SeT LLM @ICLR 2024 - Workshop on Secure and Trustworthy Large Language Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
S. Chen • Z. Han • B. He • M. Buckley • P. Torr • V. Tresp • J. Gu
Understanding and Improving In-Context Learning on Vision-language Models.
ME-FoMo @ICLR 2024 - Workshop on Mathematical and Empirical Understanding of Foundation Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Understanding and Improving In-Context Learning on Vision-language Models.
ME-FoMo @ICLR 2024 - Workshop on Mathematical and Empirical Understanding of Foundation Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
R. Kohli • M. Feurer • B. Bischl • K. Eggensperger • F. Hutter
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning.
DMLR @ICLR 2024 - Workshop on Data-centric Machine Learning Research at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning.
DMLR @ICLR 2024 - Workshop on Data-centric Machine Learning Research at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
Z. Li • S. S. Cranganore • N. Youngblut • N. Kilbertus
Whole Genome Transformers for Gene Interaction Effects in Microbiome Habitat Prediction.
MLGenX @ICLR 2024 - Workshop Machine Learning for Genomics Explorations at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
Whole Genome Transformers for Gene Interaction Effects in Microbiome Habitat Prediction.
MLGenX @ICLR 2024 - Workshop Machine Learning for Genomics Explorations at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL
A. Modarressi • A. Imani • M. Fayyaz • H. Schütze
RET-LLM: Towards a General Read-Write Memory for Large Language Models.
AGI @ICLR 2024 - Workshop on Artificial General Intelligence at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. arXiv
RET-LLM: Towards a General Read-Write Memory for Large Language Models.
AGI @ICLR 2024 - Workshop on Artificial General Intelligence at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. arXiv
S. Zhao • I. Prapas • I. Karasante • Z. Xiong • I. Papoutsis • G. Camps-Valls • X. Zhu
Causal Graph Neural Networks for Wildfire Danger Prediction.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
Causal Graph Neural Networks for Wildfire Danger Prediction.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF
Related
29.10.2026
Teaching Language Models to Express Uncertainty
An ICLR 2026 paper shows how reinforcement learning improves confidence estimates from language models.
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
27.10.2026
Welcoming Ewa Szczurek to MCML
Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.
