Paper Title Authors
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT Thomas Edward Yerxa, Jenelle Feather, Eero P Simoncelli, SueYeon Chung
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong, Ellis L Brown II, Penghao Wu, Sanghyun Woo, ADITHYA JAIRAM IYER, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie
 
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang
 
Model Based Inference of Synaptic Plasticity Rules
Yash Mehta, Danil Tyulmankov, Adithya E. Rajagopalan, Glenn C Turner, James E Fitzgerald, Jan Funke
 
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
Joan Bruna, Jiequn Han
 
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
Yaqi Duan, Martin J Wainwright
 
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
Noah Amsel, Tyler Chen, Christopher Musco, Anne Greenbaum, Cameron N Musco
 
Recurrent neural network dynamical systems for biological vision
Wayne WM Soo, Aldo Battista, Puria Radmard, Xiao-Jing Wang
 
LLM Evaluators Recognize and Favor Their Own Generations
Arjun Panickssery, Samuel R. Bowman, Shi Feng
 
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen, Dylan J Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
 
A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao, Mehryar Mohri, Yutao Zhong
 
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
Shentong Mo, Shengbang Tong
 
Learning predictable and robust neural representations by straightening image sequences
Xueyan Niu, Cristina Savin, Eero P Simoncelli
 
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath
 
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine Bouman
 
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
 
Randomized Truthful Auctions with Learning Agents
Gagan Aggarwal, Anupam Gupta, Andres Perlroth, Grigoris Velegkas
 
Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao, Mehryar Mohri, Yutao Zhong
 
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Euiwoong Lee, Debmalya Panigrahi
 
Non-convolutional graph neural networks.
Yuanqing Wang, Kyunghyun Cho
 
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu
 
Many-shot Jailbreaking
Cem Anil, Esin DURMUS, Nina Rimsky, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel J Ford, Francesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan J Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanham, Karina Nguyen, Tomasz Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger Baker Grosse, David Duvenaud
 
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
Andres Potapczynski, Shikai Qiu, Marc Anton Finzi, Christopher Ferri, Zixi Chen, Micah Goldblum, C. Bayan Bruss, Christopher De Sa, Andrew Gordon Wilson
 
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
Sanae Lotfi, Yilun Kuang, Marc Anton Finzi, Brandon Amos, Micah Goldblum, Andrew Gordon Wilson
 
Cardinality-Aware Set Prediction and Top-k Classification
Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
 
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
 
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan, Tung Lam Tran, Quyen Tran, Trung Le
 
Multi-Label Learning with Stronger Consistency Guarantees
Anqi Mao, Mehryar Mohri, Yutao Zhong
 
Multi-Object Hallucination in Vision Language Models
Xuweiyi Chen, Ziqiao Ma, Xuejun Zhang, Sihan Xu, Shengyi Qian, Jianing Yang, David Fouhey, Joyce Chai
 
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
 
Large Language Models Must Be Taught to Know What They Don't Know
Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine M. Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
 
Fixed Confidence Best Arm Identification in the Bayesian Setting
Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
 
Parametric model reduction of mean-field and stochastic systems via higher-order action matching
Jules Berman, Tobias Blickhan, Benjamin Peherstorfer
 
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
Yanlai Yang, Matt Jones, Michael Curtis Mozer, Mengye Ren
 
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
 
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
Kangning Liu, Brian L. Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
 
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
Zhenfeng Tu, Santiago Aranguri, Arthur Jacot
 
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot, Seok Hoan Choi, Yuxiao Wen
 
Iterative Reasoning Preference Optimization
Richard Yuanzhe Pang, Weizhe Yuan, He He, Kyunghyun Cho, Jason E Weston, Sainbayar Sukhbaatar
 
MAC Advice for facility location mechanism design Zohar Barak, Anupam Gupta, Inbal Talgam-Cohen
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis, Natalie Frank, Julia Kempe, Nathan Srebro
 
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Jingtong Su, Julia Kempe, Karen Ullrich
 
The surprising efficiency of temporal difference learning for rare event prediction
Xiaoou Cheng, Jonathan Weare
 
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar, Zhuoran Peng, Lerrel Pinto
 
Stochastic contextual bandits with graph feedback: from independence number to MAS number
Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
 
Unconditional stability of a recurrent neural circuit implementing divisive normalization
Shivang Rawat, David Heeger, Stefano Martiniani
 
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
 
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz, Michele Santacatterina, Ramin Zabih
 
The Prevalence of Neural Collapse in Neural Multivariate Regression
George Andriopoulos, Zixuan Dong, Li Guo, Zifan Zhao, Keith W. Ross
 
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient Natasa Tagasovska, Vladimir Gligorijevic, Kyunghyun Cho, Andreas Loukas
Shaping the distribution of neural responses with interneurons in a recurrent circuit model
David Lipshutz, Eero P Simoncelli
 
Covariate Shift Corrected Conditional Randomization Test
Bowen Xu, Yiwen Huang, Chuan Hong, Shuangning Li, Molei Liu
 
Stochastic Optimal Control Matching
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
 
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
Yiming Li, Zehong Wang, Chen Feng, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Jose M. Alvarez
 
Explanations that reveal all through the definition of encoding
Aahlad Manas Puli, Nhi Nguyen, Rajesh Ranganath
 
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
 
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto
 
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
Xuan Liu, Song Guo, Jie ZHANG, HaoYang Shang, Yang Chengxu, Quanyan Zhu
 
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Axel Elaldi, Guido Gerig, Neel Dey
 
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Brenden Lake, Thomas Serre, Ellie Pavlick
 
MALT Powers Up Adversarial Attacks Odelia Melamed, Gilad Yehudai, Adi Shamir
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei
 
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee
 
Learning Elastic Costs to Shape Monge Displacements
Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugene Ndiaye, Jonathan Niles-Weed, marco cuturi
 
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
Hao Phung, Quan Dao, Trung Tuan Dao, Hoang Phan, Dimitris N. Metaxas, Anh Tuan Tran
 
GAVEL: Generating Games via Evolution and Language Models
Graham Todd, Alexander George Padula, Matthew Stephenson, Eric Piette, Dennis J. N. J. Soemers, Julian Togelius
 
GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance
Shuaihang Yuan, Hao Huang, Yu Hao, Congcong Wen, Anthony Tzes, Yi Fang
 
Progressive Entropic Optimal Transport Solvers
Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, marco cuturi
 
Gradient Rewiring for Editable Graph Neural Network Training
Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Hu
 
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu
Multiview Scene Graph
Juexiao Zhang, Gao Zhu, Sihang Li, Xinhao Liu, Haorui Song, Xinran Tang, Chen Feng
 
Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets
Arthur Jacot, Alexandre Kaiser
 
Online Estimation via Offline Estimation: An Information-Theoretic Framework
Dylan J Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
 
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu
 
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
Haya Diwan, Jinrui Gou, Christopher Musco, Torsten Suel, Cameron N Musco
 
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Henger Li, Tao Li, Quanyan Zhu, Yunian Pan, Tianyi Xu, Zizhan Zheng
 
Preference Learning Algorithms Do Not Learn Preference Rankings
Angelica Chen, Lily H Zhang, Rajesh Ranganath, Kyunghyun Cho, Sadhika Malladi, Xinyi Chen, Qiuyi Zhang
 
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Michael Bean, Katerina Margatina, Rafael Mosquera, Juan Manuel Ciro, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale
 
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset Allen G Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Ravid Shwartz-Ziv
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
R. Teal Witter, Christopher Musco
 
Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio
Ralph E Peterson, Aramis Tanelus, Christopher A. Ick, Bartul Mimica, M J Niegil Francis, Aman Choudhri, Annegret Falkner, Mala Murthy, Violet Jane Ivan, David M Schneider, Dan H. Sanes, Alex H Williams
 
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique
 
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
Muhammad Umair Nasir, Steven James, Julian Togelius
 
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde
 
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
Anushrut Jignasu, Chinmay Hegde, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy
 
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
Chih-Hsuan Yang, Benjamin Feuer, Talukder Zaki Jubery, Zi K. Deng, Andre Nakkab, Md Zahid Hasan, Shivani Chiranjeevi, Chinmay Hegde, Kelly O. Marshall, Nirmal Baishnab, Asheesh K Singh, ARTI SINGH, Soumik Sarkar, Nirav Merchant, Baskar Ganapathysubramanian