| Paper Title | Authors | |
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| AbDiffuser: full-atom generation of in-vitro functioning antibodies | Karolis Martinkus, Jan Ludwiczak, WEI-CHING LIANG, Julien Lafrance-Vanasse, Isidro Hotzel, Arvind Rajpal, Yan Wu, Kyunghyun Cho, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas | |
| Estimating Noise Correlations Across Continuous Conditions With Wishart Processes |
Amin Nejatbakhsh, Isabel Garon, Alex Williams
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| Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability |
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
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| Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy |
Aahlad Manas Puli, Lily Zhang, Yoav Wald, Rajesh Ranganath
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| Reverse Engineering Self-Supervised Learning |
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
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| Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff | Arthur Jacot | |
| High-dimensional Contextual Bandit Problem without Sparsity | Junpei Komiyama, Masaaki Imaizumi | |
| A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning |
Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bayan Bruss, Andrew Wilson, Tom Goldstein, Micah Goldblum
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| Estimating Causal Effects Identifiable from a Combination of Observations and Experiments |
Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim
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| Should We Learn Most Likely Functions or Parameters? |
Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor, Andrew Wilson
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| Understanding and Mitigating Copying in Diffusion Models |
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
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| Towards A Richer 2D Understanding of Hands at Scale |
Tianyi Cheng, Dandan Shan, Ayda Hassen, Richard Higgins, David Fouhey
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| Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models |
Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
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| The Adversarial Consistency of Surrogate Risks for Binary Classification | Natalie Frank, Jonathan Niles-Weed | |
| Mean-field Langevin dynamics: Time-space discretization, stochastic gradient, and variance reduction | Taiji Suzuki, Denny Wu, Atsushi Nitanda | |
| Learning Interpretable Low-dimensional Representation via Physical Symmetry |
Xuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia
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| A Spectral Theory of Neural Prediction and Alignment |
Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo, SueYeon Chung
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| NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function |
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
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| Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies |
Wayne Soo, Vishwa Goudar, Xiao-Jing Wang
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| Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks | Jules Berman, Benjamin Peherstorfer | |
| Efficient Training of Energy-Based Models Using Jarzynski Equality |
Davide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden
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| Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples |
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He
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| Should Under-parameterized Student Networks Copy or Average Teacher Weights? |
Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
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| Gradient-Based Feature Learning under Structured Data |
Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki, Murat Erdogdu
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| Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective |
Jimmy Ba, Murat Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu
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| On Single-Index Models beyond Gaussian Data |
Aaron Zweig, Loucas PILLAUD-VIVIEN, Joan Bruna
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| Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution |
Ying Wang, Tim G. J. Rudner, Andrew Wilson
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| Protein Design with Guided Discrete Diffusion |
Nate Gruver, Samuel Stanton, Nathan Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Wilson
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| An Information Theory Perspective on Variance-Invariance-Covariance Regularization |
Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
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| ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation |
Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, YU HUANG, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Mike Pritchard
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| Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching |
Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han
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| CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra |
Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew Wilson
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| SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models |
Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran, elies Gherbi, Hatem Hajri, Nader Masmoudi
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| Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery |
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
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| Simplifying and Empowering Transformers for Large-Graph Representations |
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
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| Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation |
Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang
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| Structured Semidefinite Programming for Recovering Structured Preconditioners |
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian
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| On Imitation in Mean-field Games |
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Lauriere, Matthieu Geist
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| Language Models Dont Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting |
Miles Turpin, Julian Michael, Ethan Perez, Samuel Bowman
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| When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality |
Jose Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
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| Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering |
Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward
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| Posterior Sampling for Competitive RL: Function Approximation and Partial Observation |
Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
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| Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise |
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
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| Self-Supervised Learning with Lie Symmetries for Partial Differential Equations |
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Kiani
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| EvoPrompting: Language Models for Code-Level Neural Architecture Search | Angelica Chen, David Dohan, David So | |
| Formalizing locality for normative synaptic plasticity models |
Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake Richards, Guillaume Lajoie
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| Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations |
Thomas Yerxa, Yilun Kuang, Eero Simoncelli, SueYeon Chung
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| A polar prediction model for learning to represent visual transformations | Pierre-Étienne Fiquet, Eero Simoncelli | |
| K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing |
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
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| Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation |
David Brandfonbrener, Ofir Nachum, Joan Bruna
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| Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms |
Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason Lee
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| Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL |
Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake Richards
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| Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition |
Samuel Dooley, Rhea Sukthanker, John Dickerson, Colin White, Frank Hutter, Micah Goldblum
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| Large Language Models Are Zero-Shot Time Series Forecasters |
Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Wilson
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| Simplifying Neural Network Training Under Class Imbalance |
Ravid Shwartz-Ziv, Micah Goldblum, Yucen Li, C. Bayan Bruss, Andrew Wilson
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| EPIC Fields: Marrying 3D Geometry and Video Understanding |
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
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| Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks |
Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Wilson, Tom Goldstein
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| OpenProteinSet: Training data for structural biology at scale |
Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, Lukas Jarosch, Dan Berenberg, Ian Fisk, Andrew Watkins, Stephen Ra, Richard Bonneau, Mohammed AlQuraishi
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| American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers |
Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, "Luca DAmico-Wong", Quan Le, Pablo Querubin, Leander Heldring
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| Adaptive whitening with fast gain modulation and slow synaptic plasticity |
Lyndon Duong, Eero Simoncelli, Dmitri Chklovskii, David Lipshutz
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| Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes |
Yizi Zhang, Tianxiao He, Julien Boussard, Charles Windolf, Olivier Winter, Eric Trautmann, Noam Roth, Hailey Barrell, Mark Churchland, Nicholas A Steinmetz, Erdem Varol, Cole Hurwitz, Liam Paninski
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| A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks |
Vignesh Kothapalli, Tom Tirer, Joan Bruna
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| Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond |
Taiji Suzuki, Denny Wu, Kazusato Oko, Atsushi Nitanda
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| A Logic for Expressing Log-Precision Transformers | William Merrill, Ashish Sabharwal | |
| MARBLE: Music Audio Representation Benchmark for Universal Evaluation |
Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, zhuo le, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu
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| Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks |
Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, J Terry
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| NetHack is Hard to Hack |
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
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| What Can We Learn from Unlearnable Datasets? |
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein
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| Understanding the detrimental class-level effects of data augmentation |
Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Wilson
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| When Do Neural Nets Outperform Boosted Trees on Tabular Data? |
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Ganesh Ramakrishnan, Micah Goldblum, Colin White
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| Spatial-frequency channels, shape bias, and adversarial robustness |
Ajay Subramanian, Elena Sizikova, Najib Majaj, Denis Pelli
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| Re Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification |
Priyanka Bose, Chandra Shekhar Pandey, Fraida Fund
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| Learning and Collusion in Multi-unit Auctions |
Simina Branzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
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