09.12.2024
MCML at NeurIPS 2024
31 Accepted Papers (23 Main, and 8 Workshops)
38th Conference on Neural Information Processing Systems, Vancouver, Canada, Dec 10-15, 2024
We are happy to announce that MCML researchers have contributed a total of 31 papers to NeurIPS 2024: 23 Main, and 8 Workshop papers. Congrats to our researchers!
Main Track (23 papers)
E. Ailer • N. Dern • J. Hartford • N. Kilbertus
Targeted Sequential Indirect Experiment Design.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Targeted Sequential Indirect Experiment Design.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
A. Bonfanti • G. Bruno • C. Cipriani
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
R. Dhahri • A. Immer • B. Charpentier • S. Günnemann • V. Fortuin
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
L. Eyring • S. Karthik • K. Roth • A. Dosovitskiy • Z. Akata
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
F. Hoppe • C. M. Verdun • H. Laus • F. Krahmer • H. Rauhut
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
A. Javanmardi • D. Stutz • E. Hüllermeier
Conformalized Credal Set Predictors.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Conformalized Credal Set Predictors.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
M. Kollovieh • B. Charpentier • D. Zügner • S. Günnemann
Expected Probabilistic Hierarchies.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Expected Probabilistic Hierarchies.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
F. Köhler • S. Niedermayr • R. Westermann • N. Thuerey
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
A. H. Kargaran • F. Yvon • H. Schütze
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
M. Muschalik • H. Baniecki • F. Fumagalli • P. Kolpaczki • B. Hammer • E. Hüllermeier
shapiq: Shapley Interactions for Machine Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
shapiq: Shapley Interactions for Machine Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
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. DOI
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. DOI
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. DOI
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. DOI
G. Ma • Y. Wang • D. Lim • S. Jegelka • Y. Wang
A Canonicalization Perspective on Invariant and Equivariant Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
A Canonicalization Perspective on Invariant and Equivariant Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
T. Nagler • L. Schneider • B. Bischl • M. Feurer
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
R. Paolino • S. Maskey • P. Welke • G. Kutyniok
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
D. Rügamer • B. X. W. Liew • Z. Altai • A. Stöcker
A Functional Extension of Semi-Structured Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
A Functional Extension of Semi-Structured Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
R. Stolz • H. Krasowski • J. Thumm • M. Eichelbeck • P. Gassert • M. Althoff
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
V. Udandarao • K. Roth • S. Dziadzio • A. Prabhu • M. Cherti • O. Vinyals • O. Hénaff • S. Albanie • Z. Akata • M. Bethge
A Practitioner's Guide to Real-World Continual Multimodal Pretraining.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
A Practitioner's Guide to Real-World Continual Multimodal Pretraining.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
J. Wang • M. Ghahremani • Y. Li • B. Ommer • C. Wachinger
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Y. Wang • K. Hu • S. Gupta • Z. Ye • Y. Wang • S. Jegelka
Understanding the Role of Equivariance in Self-supervised Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Understanding the Role of Equivariance in Self-supervised Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
D. Winkel • N. Strauß • M. Bernhard • Z. Li • T. Seidl • M. Schubert
Autoregressive Policy Optimization for Constrained Allocation Tasks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Autoregressive Policy Optimization for Constrained Allocation Tasks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
Y. Wang • Y. Wu • Z. Wei • S. Jegelka • Y. Wang
A Theoretical Understanding of Self-Correction through In-context Alignment.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
A Theoretical Understanding of Self-Correction through In-context Alignment.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
M. Yau • N. Karalias • E. Lu • J. Xu • S. Jegelka
Are Graph Neural Networks Optimal Approximation Algorithms?
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Are Graph Neural Networks Optimal Approximation Algorithms?
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI
Workshops (8 papers)
C. Bülte • P. Scholl • G. Kutyniok
Probabilistic predictions with Fourier neural operators.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Probabilistic predictions with Fourier neural operators.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
B. Cong • N. Daheim • Y. Shen • D. Cremers • R. Yokota • M. Khan • T. Möllenhoff
Variational Low-Rank Adaptation Using IVON.
FITML @NeurIPS 2024 - Workshop Fine-Tuning in Modern Machine Learning: Principles and Scalability at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub
Variational Low-Rank Adaptation Using IVON.
FITML @NeurIPS 2024 - Workshop Fine-Tuning in Modern Machine Learning: Principles and Scalability at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub
L. Gosch • M. Sabanayagam • D. Ghoshdastidar • S. Günnemann
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
AdvML-Frontiers @NeurIPS 2024 - 3rd Workshop on New Frontiers in Adversarial Machine Learning at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
AdvML-Frontiers @NeurIPS 2024 - 3rd Workshop on New Frontiers in Adversarial Machine Learning at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
A. Koebler • T. Decker • I. Thon • V. Tresp • F. Buettner
Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
M. Koshil • T. Nagler • M. Feurer • K. Eggensperger
Towards Localization via Data Embedding for TabPFN.
TLR @NeurIPS 2024 - 3rd Table Representation Learning Workshop at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Towards Localization via Data Embedding for TabPFN.
TLR @NeurIPS 2024 - 3rd Table Representation Learning Workshop at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
B. M. G. Nielsen • L. Gresele • A. Dittadi
Challenges in Explaining Representational Similarity through Identifiability.
UniReps @NeurIPS 2024 - 2nd Workshop on Unifying Representations in Neural Models at the 37th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Challenges in Explaining Representational Similarity through Identifiability.
UniReps @NeurIPS 2024 - 2nd Workshop on Unifying Representations in Neural Models at the 37th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
A. White • A. Büttner • M. Gelbrecht • N. Kilbertus • F. Hellmann • N. Boers
Projected Neural Differential Equations for Power Grid Modeling with Constraints.
D3S3 @NeurIPS 2024 - Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Projected Neural Differential Equations for Power Grid Modeling with Constraints.
D3S3 @NeurIPS 2024 - Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
Y. Zhang • Y. Li • X. Wang • Q. Shen • B. Plank • B. Bischl • M. Rezaei • K. Kawaguchi
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.
Compression Workshop @NeurIPS 2024 - Workshop on Machine Learning and Compression at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.
Compression Workshop @NeurIPS 2024 - Workshop on Machine Learning and Compression at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL
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