30.04.2024

MCML at ICLR 2024

The 12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024

We are happy to announce that MCML researchers are represented with 22 papers 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).
URL.

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. (Workshop paper).
URL.

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?. (Workshop paper).
URL. GitHub.

S. d'Ascoli, S. Becker, P. Schwaller, A. Mathis and N. Kilbertus.
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.
URL. GitHub.

L. Eyring, D. Klein, T. Uscidda, G. Palla, N. Kilbertus, Z. Akata and F. J. Theis.
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
URL.

D. Frauen, F. Imrie, A. Curth, V. Melnychuk, S. Feuerriegel and M. van der Schaar.
A Neural Framework for Generalized Causal Sensitivity Analysis.
URL.

S. Gupta, S. Jegelka, D. Lopez-Paz and K. Ahuja.
Context is Environment.
URL. GitHub.

S. Gupta, J. Robinson, D. Lim, S. Villar and S. Jegelka.
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning.
URL. GitHub.

K. Hess, V. Melnychuk, D. Frauen and S. Feuerriegel.
Bayesian neural controlled differential equations for treatment effect estimation.
URL.

Y. Huang, W. Lu, J. Robinson, Y. Yang, M. Zhang, S. Jegelka and P. Li.
On the Stability of Expressive Positional Encodings for Graphs.
URL. GitHub.

B. Kiani, T. Le, H. Lawrence, S. Jegelka and M. Weber.
On the hardness of learning under symmetries.
URL.

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. (Workshop paper).
URL.

C. Koke and D. Cremers.
HoloNets: Spectral Convolutions do extend to Directed Graphs.
URL.

T. Le, L. Ruiz and S. Jegelka.
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.
URL.

M. Lienen, D. Lüdke, J. Hansen-Palmus and S. Günnemann.
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation.
URL.

V. Melnychuk, D. Frauen and S. Feuerriegel.
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
URL.

A. Palma, T. Richter, H. Zhang, A. Dittadi and F. J. Theis.
cellFlow: a generative flow-based model for single-cell count data. (Workshop paper).
URL.

P. Schnell and N. Thuerey.
Stabilizing Backpropagation Through Time to Learn Complex Physics.
URL. GitHub.

M. Schröder, D. Frauen and S. Feuerriegel.
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
URL.

S. Solonets, D. Sinitsyn, L. Von Stumberg, N. Araslanov and D. Cremers.
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment.
URL.

A. Vahidi, S. Schoßer, L. Wimmer, Y. Li, B. Bischl, E. Hüllermeier and M. Rezaei.
Probabilistic Self-supervised Learning via Scoring Rules Minimization.
URL.

R. Winchenbach and N. Thuerey.
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics.
URL. GitHub.

30.04.2024

14.06.2024

MCML at CVPR 2024

We are happy to announce that MCML researchers are represented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024.

14.06.2024

MCML at NAACL 2024

We are happy to announce that MCML researchers are represented at the 2024 Annual Conference of the North American Chapter of the Association for Computational …

05.05.2024

MCML at CHI 2024

We are happy to announce that MCML researchers are represented at the CHI 2024 conference on Human Factors in Computing Systems.

30.04.2024

MCML at AISTATS 2024

We are happy to announce that MCML researchers are represented at the 27th International Conference on Artificial Intelligence and Statistics.

30.04.2024

MCML at PAKDD 2024

We are happy to announce that MCML researchers are represented at the 28th PAKDD.

MCML at ICLR 2024

The 12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024

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