Oral "temporal dynamics" Papers

12 papers found

DyMoDreamer: World Modeling with Dynamic Modulation

Boxuan Zhang, Runqing Wang, Wei Xiao et al.

NEURIPS 2025oralarXiv:2509.24804

Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders

Leibniz University Hannover, L3S Research Center Ali Rasekh, Erfan Soula, Omid Daliran et al.

NEURIPS 2025oralarXiv:2510.26027
1
citations

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation

Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia et al.

NEURIPS 2025oralarXiv:2505.17103
2
citations

Smooth Regularization for Efficient Video Recognition

Gil Goldman, Raja Giryes, Mahadev Satyanarayanan

NEURIPS 2025oralarXiv:2511.20928

Token Bottleneck: One Token to Remember Dynamics

Taekyung Kim, Dongyoon Han, Byeongho Heo et al.

NEURIPS 2025oralarXiv:2507.06543
1
citations

Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution

Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti

NEURIPS 2025oralarXiv:2411.07449

UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning

Nan Song, Junzhe Jiang, jingyu li et al.

NEURIPS 2025oral

VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations

Qianqian Qiao, DanDan Zheng, Yihang Bo et al.

NEURIPS 2025oralarXiv:2510.25238
1
citations

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process

Guangyi Chen, Yifan Shen, Zhenhao Chen et al.

ICML 2024oralarXiv:2401.14535
17
citations

High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost

JiaKui Hu, Man Yao, Xuerui Qiu et al.

ICML 2024oral

Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition

Yuke Li, Guangyi Chen, Ben Abramowitz et al.

ICML 2024oralarXiv:2402.12706
3
citations

Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning

Yuxuan Bian, Xuan Ju, Jiangtong Li et al.

ICML 2024oral