Papers
Universal Length Generalization with Turing Programs
Kaiying Hou, David Brandfonbrener, Sham M. Kakade et al.
Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data
Sayed Mohammad Hosseini, Maryam Shanechi
QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
Jumman Hossain, Nirmalya Roy
The Role of Randomness in Stability
Max Hopkins, Shay Moran
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
Yuzhong Hong, Hanshan Zhang, Junwei Bao et al.
On the Provable Separation of Scales in Maximal Update Parameterization
Letong Hong, Zhangyang Wang
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
Kihyuk Hong, Ambuj Tewari
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong, Yuliang Shi, Jonathan Niles-Weed
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
Dasol Hong, Wooju Lee, Hyun Myung
On the Robustness of Reward Models for Language Model Alignment
Jiwoo Hong, Noah Lee, Eunki Kim et al.
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
Sunghwan Hong, Jaewoo Jung, Heeseong Shin et al.
MTSTRec: Multimodal Time-Aligned Shared Token Recommender
Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang et al.
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
Ziming Hong, Runnan Chen, Zengmao Wang et al.
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
Benjamin Holzschuh, Qiang Liu, Georg Kohl et al.
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Samuel Holt, Max Ruiz Luyten, Antonin Berthon et al.
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
Samuel Holt, Todor Davchev, Dhruva Tirumala et al.
Open Materials Generation with Stochastic Interpolants
Philipp Höllmer, Thomas Egg, Maya Martirossyan et al.
LEAPS: A discrete neural sampler via locally equivariant networks
Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola
Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes
Sidhanth Holalkere, David Bindel, Silvia Sellán et al.
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
Mikael Møller Høgsgaard, Andrea Paudice
The Elicitation Game: Evaluating Capability Elicitation Techniques
Felix Hofstätter, Teun Van Der Weij, Jayden Teoh et al.
Models of Heavy-Tailed Mechanistic Universality
Liam Hodgkinson, Zhichao Wang, Michael W. Mahoney
Logits are All We Need to Adapt Closed Models
Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee et al.
Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
Yuya Hikima, Hiroshi Sawada, Akinori Fujino
Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
Rei Higuchi, Taiji Suzuki