Papers
Deep Random Features for Scalable Interpolation of Spatiotemporal Data
Weibin Chen, Azhir Mahmood, Michel Tsamados et al.
Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
Yazheng Liu, Sihong Xie
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
Bowen Jin, Jinsung Yoon, Jiawei Han et al.
I-Con: A Unifying Framework for Representation Learning
Shaden Naif Alshammari, John R. Hershey, Axel Feldmann et al.
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
Qianlan Yang, Yu-Xiong Wang
SWEb: A Large Web Dataset for the Scandinavian Languages
Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten et al.
Binary Losses for Density Ratio Estimation
Werner Zellinger
Accessing Vision Foundation Models via ImageNet-1K
Yitian Zhang, Xu Ma, Yue Bai et al.
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang et al.
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel, Ori Shem-Ur, Yaron Oz et al.
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
Hangtao Zhang, Chenyu Zhu, Xianlong Wang et al.
Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
Jiafei Lyu, Mengbei Yan, Zhongjian Qiao et al.
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci et al.
Fast Uncovering of Protein Sequence Diversity from Structure
luca alessandro silva, Barthelemy Meynard-Piganeau, Carlo Lucibello et al.
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.
Learning to Solve Differential Equation Constrained Optimization Problems
Vincenzo Di Vito Francesco, Mostafa Mohammadian, Kyri Baker et al.
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege, Bram Wouters, Noud Van Giersbergen et al.
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
Tai Hoang, Huy Le, Philipp Becker et al.
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic, Sofia Michel, Jean-Marc Andreoli
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Binghui Li, Zhixuan Pan, Kaifeng Lyu et al.
RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception
Rui Zhang, Ruixu Geng, Yadong Li et al.
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan, Yu Zheng, Yueqi Duan