Papers
Action Dubber: Timing Audible Actions via Inflectional Flow
Wenlong Wan, Weiying Zheng, Tianyi Xiang et al.
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
Zhenglin Wan, Xingrui Yu, David Mark Bossens et al.
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
Fengqiang Wan, Yang Yang
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Xu Wan, Wenyue Xu, Chao Yang et al.
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
Zhijing Wan, Zhixiang Wang, Zheng Wang et al.
Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
Zhengchao Wan, Qingsong Wang, Gal Mishne et al.
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
Hongyi Wan, Shiyuan Ren, Wei Huang et al.
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
Xinyi Wan, Penghui Qi, Guangxing Huang et al.
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Xiaojun Shan et al.
Rethink GraphODE Generalization within Coupled Dynamical System
Guancheng Wan, Zijie Huang, Wanjia Zhao et al.
Behavioral Exploration: Learning to Explore via In-Context Adaptation
Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki et al.
Topological Signatures of Adversaries in Multimodal Alignments
Minh N. Vu, Geigh Zollicoffer, Huy Mai et al.
Generalized Interpolating Discrete Diffusion
Dimitri Von Rütte, Janis Fluri, Yuhui Ding et al.
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius von Rohrscheidt, Bastian Rieck
Feature Importance Metrics in the Presence of Missing Data
Henrik Von Kleist, Joshua Wendland, Ilya Shpitser et al.
Calibrated Value-Aware Model Learning with Probabilistic Environment Models
Claas A Voelcker, Anastasiia Pedan, Arash Ahmadian et al.
Equivariant Polynomial Functional Networks
Thieu Vo, Hoang V. Tran, Tho Tran Huu et al.
B-score: Detecting biases in large language models using response history
An Vo, Mohammad Reza Taesiri, Daeyoung Kim et al.
What Makes a Good Feedforward Computational Graph?
Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby et al.
Prune ’n Predict: Optimizing LLM Decision-making with Conformal Prediction
Harit Vishwakarma, Alan Mishler, Thomas Cook et al.
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi Gnvv et al.
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
Gabriele Visentin, Patrick Cheridito
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
Angel Villar-Corrales, Sven Behnke
Flexibility-conditioned protein structure design with flow matching
Vsevolod Viliuga, Leif Seute, Nicolas Wolf et al.