ICLR 2025

3,703 papers

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information

Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia

PABBO: Preferential Amortized Black-Box Optimization

Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli

PRDP: Progressively Refined Differentiable Physics

Kanishk Bhatia, Felix Koehler, Nils Thuerey

FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise

Yunlong Yuan, Yuanfan Guo, Chunwei Wang, Wei Zhang, Hang Xu

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment

YOUHE JIANG, Ran Yan, Binhang Yuan

Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs

Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian

Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons

Shahaf Bassan, Ron Eliav, Shlomit Gur

InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences

Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation

Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian

PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows

Huaguan Chen, Yang Liu, Hao Sun

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramses J Sanchez

Variational Diffusion Posterior Sampling with Midpoint Guidance

Badr MOUFAD, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, randal douc

Grounding Multimodal Large Language Model in GUI World

Weixian Lei, Difei Gao, Mike Zheng Shou

Training One-Dimensional Graph Neural Networks is NP-Hard

Robert Ganian, Mathis Rocton, Simon Wietheger

Attention layers provably solve single-location regression

Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer

Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations

Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons

Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks

Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze

Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training

Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo

Learning the Complexity of Weakly Noisy Quantum States

Yusen Wu, Bujiao Wu, Yanqi Song, Xiao Yuan, Jingbo Wang

OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning

Xiaoqiang Wang, Bang Liu

Aligned Better, Listen Better for Audio-Visual Large Language Models

Yuxin Guo, Shuailei Ma, Shijie Ma, Xiaoyi Bao, Chen-Wei Xie

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting

Wei Chen, Yuxuan Liang

A CLIP-Powered Framework for Robust and Generalizable Data Selection

Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen

SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting

Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation

Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov

Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data

Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking

Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli

HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS

Armand Foucault, François Malgouyres, Franck Mamalet

Tvrtko Tadić, Cassiano O Becker, Jennifer Neville

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning

Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys

Towards Semantic Equivalence of Tokenization in Multimodal LLM

Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang

Language Models Learn to Mislead Humans via RLHF

Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt

Fast Training of Sinusoidal Neural Fields via Scaling Initialization

Taesun Yeom, Sangyoon Lee, Jaeho Lee

Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats

Jiaxin Wen, Vivek Hebbar, Caleb Larson, Aryan Bhatt, Ansh Radhakrishnan

Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models

Etrit Haxholli, Yeti Z. Gürbüz, Oğul Can, Eli Waxman

Diffusion Models Are Real-Time Game Engines

Dani Valevski, Yaniv Leviathan, Moab Arar, Shlomi Fruchter

OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition

Stephen Zhang, Vardan Papyan

CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning

Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang

Can We Ignore Labels in Out of Distribution Detection?

Hong Yang, Qi Yu, Travis Desell

Metalic: Meta-Learning In-Context with Protein Language Models

Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D Barrett

Learning to Help in Multi-Class Settings

Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, Anand D. Sarwate

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets

Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess

STAMP: Scalable Task- And Model-agnostic Collaborative Perception

Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan

How Feature Learning Can Improve Neural Scaling Laws

Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan

Generator Matching: Generative modeling with arbitrary Markov processes

Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat

Simple Guidance Mechanisms for Discrete Diffusion Models

Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar

Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory

Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Reda Alami, Ahmed Alzubaidi

Metric-Driven Attributions for Vision Transformers

Chase Walker, Sumit Kumar Jha, Rickard Ewetz

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu

On the Almost Sure Convergence of the Stochastic Three Points Algorithm

Taha EL BAKKALI EL KADI, Omar Saadi

The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch

OPTAMI: Global Superlinear Convergence of High-order Methods

Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander Gasnikov, Martin Takac

Semialgebraic Neural Networks: From roots to representations

S David Mis, Matti Lassas, Maarten V. de Hoop

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness

Eli Chien, Pan Li

Privately Counting Partially Ordered Data

Matthew Joseph, Mónica Ribero, Alexander Yu

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML

Ryan McKenna

Unbounded: A Generative Infinite Game of Character Life Simulation

Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs

Accelerating Training with Neuron Interaction and Nowcasting Networks

Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien

No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models

Changlong Wu, Ananth Grama, Wojciech Szpankowski

SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani

What Makes a Maze Look Like a Maze?

Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah Goodman, Jiajun Wu

A Watermark for Order-Agnostic Language Models

Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo

Predicate Hierarchies Improve Few-Shot State Classification

Emily Jin, Joy Hsu, Jiajun Wu

Differentially private learners for heterogeneous treatment effects

Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel

Differentially private optimization for non-decomposable objective functions

Weiwei Kong, Andres Munoz Medina, Mónica Ribero

Prioritized Generative Replay

Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A Efros

Deep Kernel Posterior Learning under Infinite Variance Prior Weights

Jorge Loria, Anindya Bhadra

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective

Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li

OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation

Yuchen Lin, Chenguo Lin, Jianjin Xu, Yadong Mu

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Yunzhen Feng, Elvis DOHMATOB, Pu Yang, Francois Charton, Julia Kempe

Diffusion On Syntax Trees For Program Synthesis

Shreyas Kapur, Erik Jenner, Stuart Russell

A Large-scale Training Paradigm for Graph Generative Models

Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed

Nonlinear multiregion neural dynamics with parametric impulse response communication channels

Matthew Dowling, Cristina Savin

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain

Arjun Roy, Kaushik Roy

Neural Eulerian Scene Flow Fields

Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang

PICASO: Permutation-Invariant Context Composition with State Space Models

Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato

CREAM: Consistency Regularized Self-Rewarding Language Models

Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal

Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data

Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu

Diffusion Bridge Implicit Models

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Elucidating the Preconditioning in Consistency Distillation

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Truncated Consistency Models

Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis

Improved Approximation Algorithms for k-Submodular Maximization via Multilinear Extension

Huanjian Zhou, Lingxiao Huang, Baoxiang Wang

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang

From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs

Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision

Cong Wei, Zheyang Xiong, Weiming Ren, Xeron Du, Ge Zhang

Horizon Generalization in Reinforcement Learning

Vivek Myers, Catherine Ji, Benjamin Eysenbach

Diffusion Policy Policy Optimization

Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal

T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design

Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu

Recovering Manifold Structure Using Ollivier Ricci Curvature

Tristan Luca Saidi, Abigail Hickok, Andrew J. Blumberg

GameArena: Evaluating LLM Reasoning through Live Computer Games

Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon

Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation

Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Xiangyang Li

Planning in Natural Language Improves LLM Search for Code Generation

Evan Z Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, William Song

Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport

Zhenyi Zhang, Tiejun Li, Peijie Zhou

SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects

Jiayi Liu, Denys Iliash, Angel X Chang, Manolis Savva, Ali Mahdavi Amiri

Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images

Aiqing Zhu, Yuting Pan, Qianxiao Li