MCML at ICLR 2024

K. Ahn, X. Cheng, M. Song, C. Yun, A. Jadbabaie and S. Sra.

Linear attention is (maybe) all you need (to understand transformer optimization).
OpenReview

S. d'Ascoli, S. Becker, A. Mathis, P. Schwaller and N. Kilbertus.

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.
OpenReview

S. Chen, Z. Han, B. He, M. Buckley, P. Torr, V. Tresp and J. Gu.

Understanding and Improving In-Context Learning on Vision-language Models.
arXiv

S. Chen, Z. Han, B. He, Z. Ding, W. Yu, P. Torr, V. Tresp and J. Gu.

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?.
arXiv

L. Eyring, D. Klein, T. Uscidda, G. Palla, N. Kilbertus, Z. Akata and F. Theis.

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
OpenReview

S. Gupta, S.Jegelka, D. Lopez-Paz and K. Ahuja.

Context is Environment.
OpenReview

S. Gupta, J. Robinson, D. Lim, S. Villar and S. Jegelka.

Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning.
OpenReview

D. Frauen, F. Imrie, A. Curth, V. Melnychuk, S. Feuerriegel and M. van der Schaar.

A Neural Framework for Generalized Causal Sensitivity Analysis.
arXiv

K. Hess, V. Melnychuk, D. Frauen and S. Feuerriegel.

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
arXiv

Y. Huang, W. Lu, J. Robinson, Y. Yang, M. Zhang, S. Jegelka and P. Li.

On the Stability of Expressive Positional Encodings for Graphs.
OpenReview

B. Kiani, T. Le, H. Lawrence, S. Jegelka and M. Weber.

On the hardness of learning under symmetries.
OpenReview

R. Kohli, M. Feurer, B. Bischl, K. Eggensperger and F. Hutter.

Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning..

C. Koke and D. Cremers.

HoloNets: Spectral Convolutions do extend to Directed Graphs.
OpenReview

T. Le, L. Ruiz and S. Jegelka.

A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.
arXiv

M. Lienen, D. Lüdke, J. Hansen-Palmus and S. Günnemann.

From Zero to Turbulence: Generative Modeling for 3D Flow Simulation.
arXiv

V. Melnychuk, D. Frauen and S. Feuerriegel.

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
arXiv

P. Schnell and N. Thuerey.

Stabilizing Backpropagation Through Time to Learn Complex Physics.
OpenReview

M. Schröder, D. Frauen and S. Feuerriegel.

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
arXiv

S. Solonets, D. Sinitsyn, L. Von Stumberg, N. Araslanov and D. Cremers.

An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment.
OpenReview

A. Vahidi, S. Schoßer, L. Wimmer, Y. Li, B.Bischl, E. Hüllermeier and M. Rezaei.

Probabilistic Self-supervised Learning via Scoring Rules Minimization.
arXiv

R. Winchenbach and N. Thuerey.

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics.
arXiv