Learning Deformable Body Interactions With Adaptive Spatial Tokenization
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Hao, Liu, Yu, Biggs, Daniel, Wang, Haoru, Yu, Jiandong, Huang, Ping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025)
by: Shen, Siqi, et al.
Published: (2025)
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
by: Wang, Zhibiao, et al.
Published: (2025)
by: Wang, Zhibiao, et al.
Published: (2025)
ElasticTok: Adaptive Tokenization for Image and Video
by: Yan, Wilson, et al.
Published: (2024)
by: Yan, Wilson, et al.
Published: (2024)
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
by: Cheng, Ze, et al.
Published: (2024)
by: Cheng, Ze, et al.
Published: (2024)
Adaptive Token-Weighted Differential Privacy for LLMs: Not All Tokens Require Equal Protection
by: Yu, Manjiang, et al.
Published: (2025)
by: Yu, Manjiang, et al.
Published: (2025)
NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
by: Liu, Enshu, et al.
Published: (2026)
by: Liu, Enshu, et al.
Published: (2026)
Uncertainty-Aware Token Importance Estimation in Spiking Transformers
by: Liu, Wenxuan, et al.
Published: (2026)
by: Liu, Wenxuan, et al.
Published: (2026)
Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes
by: Gu, Minghao, et al.
Published: (2026)
by: Gu, Minghao, et al.
Published: (2026)
Time-R1: Towards Comprehensive Temporal Reasoning in LLMs
by: Liu, Zijia, et al.
Published: (2025)
by: Liu, Zijia, et al.
Published: (2025)
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
by: Li, Zongyi, et al.
Published: (2022)
by: Li, Zongyi, et al.
Published: (2022)
Mixture-of-Experts Meets In-Context Reinforcement Learning
by: Wu, Wenhao, et al.
Published: (2025)
by: Wu, Wenhao, et al.
Published: (2025)
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
by: Zhang, Kaiqi, et al.
Published: (2022)
by: Zhang, Kaiqi, et al.
Published: (2022)
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation
by: Dong, Kuiyao, et al.
Published: (2024)
by: Dong, Kuiyao, et al.
Published: (2024)
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
A Brief Review of Hypernetworks in Deep Learning
by: Chauhan, Vinod Kumar, et al.
Published: (2023)
by: Chauhan, Vinod Kumar, et al.
Published: (2023)
Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
by: Zhang, Zhen-Yu, et al.
Published: (2026)
by: Zhang, Zhen-Yu, et al.
Published: (2026)
A Comparative Study of Machine Learning Models Predicting Energetics of Interacting Defects
by: Yu, Hao
Published: (2024)
by: Yu, Hao
Published: (2024)
RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
by: Guo, Hao, et al.
Published: (2025)
by: Guo, Hao, et al.
Published: (2025)
Tokenizing Electron Cloud in Protein-Ligand Interaction Learning
by: Lin, Haitao, et al.
Published: (2025)
by: Lin, Haitao, et al.
Published: (2025)
Unified Low-rank Compression Framework for Click-through Rate Prediction
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
MT2ST: Adaptive Multi-Task to Single-Task Learning
by: Liu, Dong, et al.
Published: (2024)
by: Liu, Dong, et al.
Published: (2024)
Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
by: Nguyen, Ngoc-Bao, et al.
Published: (2025)
by: Nguyen, Ngoc-Bao, et al.
Published: (2025)
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
by: Zeng, Dun, et al.
Published: (2023)
by: Zeng, Dun, et al.
Published: (2023)
On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures
by: Yin, Ming, et al.
Published: (2025)
by: Yin, Ming, et al.
Published: (2025)
Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs
by: Pan, Wenbo, et al.
Published: (2026)
by: Pan, Wenbo, et al.
Published: (2026)
Adaptive Protein Tokenization
by: Dilip, Rohit, et al.
Published: (2026)
by: Dilip, Rohit, et al.
Published: (2026)
Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach
by: Wei, Hao, et al.
Published: (2025)
by: Wei, Hao, et al.
Published: (2025)
Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model
by: Kabir, Md. Ahsanul, et al.
Published: (2025)
by: Kabir, Md. Ahsanul, et al.
Published: (2025)
Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression
by: Wang, Jindong, et al.
Published: (2025)
by: Wang, Jindong, et al.
Published: (2025)
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
LLM Flow Processes for Text-Conditioned Regression
by: Biggs, Felix, et al.
Published: (2026)
by: Biggs, Felix, et al.
Published: (2026)
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
by: Biggs, Max, et al.
Published: (2023)
by: Biggs, Max, et al.
Published: (2023)
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector
by: Yuan, Yachao, et al.
Published: (2024)
by: Yuan, Yachao, et al.
Published: (2024)
Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots
by: Chen, Zongyuan, et al.
Published: (2025)
by: Chen, Zongyuan, et al.
Published: (2025)
Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks
by: Krishnan, Adit, et al.
Published: (2025)
by: Krishnan, Adit, et al.
Published: (2025)
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Learning Variable-Length Tokenization for Generative Recommendation
by: Wang, Minhao, et al.
Published: (2026)
by: Wang, Minhao, et al.
Published: (2026)
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
by: Yu, Youwei, et al.
Published: (2026)
by: Yu, Youwei, et al.
Published: (2026)
Similar Items
-
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025) -
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
by: Wang, Zhibiao, et al.
Published: (2025) -
ElasticTok: Adaptive Tokenization for Image and Video
by: Yan, Wilson, et al.
Published: (2024) -
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
by: Cheng, Ze, et al.
Published: (2024) -
Adaptive Token-Weighted Differential Privacy for LLMs: Not All Tokens Require Equal Protection
by: Yu, Manjiang, et al.
Published: (2025)