Home  | News

06.05.2024

Tiny logo
Teaser image to 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

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

D. Frauen • F. Imrie • A. Curth • V. MelnychukS. 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

K. HeßV. MelnychukD. FrauenS. 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

C. KokeD. Cremers
HoloNets: Spectral Convolutions do extend to Directed Graphs.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

V. MelnychukD. FrauenS. 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

M. SchröderD. FrauenS. 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

S. SolonetsD. Sinitsyn • L. Von Stumberg • N. AraslanovD. 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

A. Vahidi • S. Schosser • L. WimmerY. LiB. BischlE. HüllermeierM. 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

Workshops (7 papers)

S. Chen • Z. Han • B. HeZ. 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

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

R. Kohli • M. FeurerB. 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

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

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

A. ModarressiA. 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

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

#research #top-tier-work #bischl #cremers #feuerriegel #feurer #huellermeier #kilbertus #schuetze #theis #tresp #zhu
Subscribe to RSS News feed

Related

Link to Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

16.12.2025

Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.

Link to Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

16.12.2025

Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.

Link to Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

16.12.2025

Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

Hinrich Schütze discusses Giotto.ai’s efficient AI models, highlighting memory separation and context-aware decoding to improve robustness.

Link to Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas

16.12.2025

Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas

Xiaoxiang Zhu maps 2.75B buildings in 3D, revealing global urbanization, housing, and social inequalities using AI.

Link to From Sitting Dog to Standing: A New Way to Morph 3D Shapes

11.12.2025

From Sitting Dog to Standing: A New Way to Morph 3D Shapes

ICLR 2025 work by Lu Sang and Daniel Cremers in collaboration with U Bonn enables smooth, physics-aware 3D shape deformation from point clouds.

Back to Top