"temporal dynamics" Papers
14 papers found
Conference
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
Progress-Aware Video Frame Captioning
Zihui Xue, Joungbin An, Xitong Yang et al.
CVPR 2025arXiv:2412.02071
7
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
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks
Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou et al.
AAAI 2024paperarXiv:2308.06582
62
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