Oral Papers
1,594 papers found • Page 28 of 32
Conference
Diffusion-TS: Interpretable Diffusion for General Time Series Generation
Xinyu Yuan, Yan Qiao
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew T Jackson, Chris Lu, Louis Kirsch et al.
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Khalid OUBLAL, Said Ladjal, David Benhaiem et al.
Distributional Bellman Operators over Mean Embeddings
Li Kevin Wenliang, Gregoire Deletang, Matthew Aitchison et al.
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
Zongxin Yang, Guikun Chen, Xiaodi Li et al.
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Siqiao Xue, Xiaoming Shi, Zhixuan Chu et al.
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han et al.
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
YEFEI HE, Jing Liu, Weijia Wu et al.
Efficient Error Certification for Physics-Informed Neural Networks
Francisco Eiras, Adel Bibi, Rudy Bunel et al.
Efficient Planning with Latent Diffusion
Wenhao Li
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis et al.
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Jiawei Yang, Boris Ivanovic, Or Litany et al.
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
Pranav Singh Chib, Pravendra Singh
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu, Jiaqi Han, Aaron Lou et al.
Evaluation of Trajectory Distribution Predictions with Energy Score
Novin Shahroudi, Mihkel Lepson, Meelis Kull
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
Sunil Hwang, Jaehong Yoon, Youngwan Lee et al.
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang, Yuzhen Mao, Yujun Yan et al.
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Dachun Kai, Jiayao Lu, Yueyi Zhang et al.
Explaining Time Series via Contrastive and Locally Sparse Perturbations
Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.
Explain Temporal Black-Box Models via Functional Decomposition
Linxiao Yang, Yunze Tong, Xinyue Gu et al.
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
Hanyu Zhou, Yi Chang, Haoyue Liu et al.
Fair Off-Policy Learning from Observational Data
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Fast Imitation via Behavior Foundation Models
Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati et al.
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
Haoran Deng, Yang Yang, Jiahe Li et al.
Fast Value Tracking for Deep Reinforcement Learning
Frank Shih, Faming Liang
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
Zhonghang Li, Lianghao Xia, Yong Xu et al.
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
Yuren Cong, Mengmeng Xu, Christian Simon et al.
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
Chenhao Li, Elijah Stanger-Jones, Steve Heim et al.
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
Zhilong Zhang, Yihao Sun, Junyin Ye et al.
Foundation Policies with Hilbert Representations
Seohong Park, Tobias Kreiman, Sergey Levine
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
Yuxing Tian, Yiyan Qi, Fan Guo
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
Haonan Qiu, Menghan Xia, Yong Zhang et al.
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li, Jingdong Zhang, Qunxi Zhu et al.
From Generalization Analysis to Optimization Designs for State Space Models
Fusheng Liu, Qianxiao Li
FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition
Xiaohu Huang, Hao Zhou, Kun Yao et al.
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang, Ziyang Xie, Yunze Man et al.
Future Language Modeling from Temporal Document History
Changmao Li, Jeffrey Flanigan
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Jingyun Xiao, Ran Liu, Eva Dyer
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang, Yanchao Sun, Ruijie Zheng et al.
Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns
Hongbin Huang, Minghua Chen, Xiao Qiao
Genie: Generative Interactive Environments
Jake Bruce, Michael Dennis, Ashley Edwards et al.
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Giovanni De Felice, Andrea Cini, Daniele Zambon et al.
GraphPulse: Topological representations for temporal graph property prediction
Kiarash Shamsi, Farimah Poursafaei, Shenyang(Andy) Huang et al.
Graph Transformers on EHRs: Better Representation Improves Downstream Performance
Raphael Poulain, Rahmatollah Beheshti
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
Hyeonho Jeong, Jong Chul YE
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na, Minje Park, Yunwon Tae et al.
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
Lanxiang Xing, Haixu Wu, yuezhou ma et al.
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman et al.