Papers
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
Dan MacKinlay, Russell Tsuchida, Daniel Edward Pagendam et al.
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher et al.
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
Eric Mazumdar, Kishan Panaganti, Laixi Shi
Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation
Byungjai Kim, Chanho Ahn, Wissam J. Baddar et al.
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
Gang Liu, Michael Sun, Wojciech Matusik et al.
Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
Neel Dey, Benjamin Billot, Hallee E. Wong et al.
Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel et al.
Calibrating Expressions of Certainty
Peiqi Wang, Barbara D. Lam, Yingcheng Liu et al.
Repulsive Latent Score Distillation for Solving Inverse Problems
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
Exact Community Recovery under Side Information: Optimality of Spectral Algorithms
Julia Gaudio, Nirmit Joshi
SyllableLM: Learning Coarse Semantic Units for Speech Language Models
Alan Baade, Puyuan Peng, David Harwath
Differentiable Causal Discovery for Latent Hierarchical Causal Models
Parjanya Prajakta Prashant, Ignavier Ng, Kun Zhang et al.
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
Indraneil Paul, Haoyi Yang, Goran Glavaš et al.
Post-hoc Reward Calibration: A Case Study on Length Bias
Zeyu Huang, Zihan Qiu, Zili Wang et al.
Fully-inductive Node Classification on Arbitrary Graphs
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin et al.
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
Wenhao Zhan, Scott Fujimoto, Zheqing Zhu et al.
Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis
Luofeng Liao, Christian Kroer, Sergei Leonenkov et al.
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez et al.
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
Connor Mooney, Zhongjian Wang, Jack Xin et al.
Conformal Structured Prediction
Botong Zhang, Shuo Li, Osbert Bastani
EmbodiedSAM: Online Segment Any 3D Thing in Real Time
Xiuwei Xu, Huangxing Chen, Linqing Zhao et al.
Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching
Renjie Pan, Jihao Dong, Hua Yang
DEEM: Diffusion models serve as the eyes of large language models for image perception
Run Luo, Yunshui Li, Longze Chen et al.
Machine Unlearning via Simulated Oracle Matching
Kristian Georgiev, Roy Rinberg, Sung Min Park et al.
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan