Papers
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim et al.
Simple Path Structural Encoding for Graph Transformers
Louis Airale, Antonio Longa, Mattia Rigon et al.
An Instrumental Value for Data Production and its Application to Data Pricing
Rui Ai, Boxiang Lyu, Zhaoran Wang et al.
Vision Graph Prompting via Semantic Low-Rank Decomposition
Zixiang Ai, Zichen Liu, Jiahuan Zhou
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
Zixiang Ai, Zichen Liu, Yuanhang Lei et al.
General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky
Otter: Generating Tests from Issues to Validate SWE Patches
Toufique Ahmed, Jatin Ganhotra, Rangeet Pan et al.
Online Laplacian-Based Representation Learning in Reinforcement Learning
Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi
Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics
Mohamad Al Ahdab, John Leth, Zheng-Hua Tan
Understanding the difficulties of posterior predictive estimation
Abhinav Agrawal, Justin Domke
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti, Ira Ktena, Jessica Schrouff et al.
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi et al.
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
Pranjal Aggarwal, Bryan Parno, Sean Welleck
Proto Successor Measure: Representing the Behavior Space of an RL Agent
Siddhant Agarwal, Harshit Sikchi, Peter Stone et al.
The Missing Alignment Link of In-context Learning on Sequences
Harshvardhan Agarwal, Sunita Sarawagi
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal, Gauri Joshi, Lawrence Pileggi
Optimal Fair Learning Robust to Adversarial Distribution Shift
Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman et al.
Design Considerations in Offline Preference-based RL
Alekh Agarwal, Christoph Dann, Teodor Vanislavov Marinov
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
Mohammed Adnan, Rohan Jain, Ekansh Sharma et al.
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
Etowah Adams, Liam Bai, Minji Lee et al.
An in depth look at the Procrustes-Wasserstein distance: properties and barycenters
Davide Adamo, Marco Corneli, Manon Vuillien et al.
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
Idan Achituve, Hai Victor Habi, Amir Rosenfeld et al.
Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya, Sujay Sanghavi, Alex Dimakis et al.
Star Attention: Efficient LLM Inference over Long Sequences
Shantanu Acharya, Fei Jia, Boris Ginsburg
EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities
Talor Abramovich, Meet Udeshi, Minghao Shao et al.