Cover Image

CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Ziyang, He, Yi, Huang, Wenbing, Yan, Wen, Liu, Yang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge
by: Yu, Ziyang, et al.
Published: (2026)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
by: Yu, Ziyang, et al.
Published: (2024)

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
by: Yu, Ziyang, et al.
Published: (2025)

Force-Guided Bridge Matching for Full-Atom Time-Coarsened Dynamics of Peptides
by: Yu, Ziyang, et al.
Published: (2024)

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
by: Xue, Wang, et al.
Published: (2023)

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
by: Kong, Xiangzhe, et al.
Published: (2023)

Energy-based Autoregressive Generation for Neural Population Dynamics
by: Ge, Ningling, et al.
Published: (2025)

HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis
by: Gupta, Rajan Das, et al.
Published: (2026)

An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning
by: Jiao, Rui, et al.
Published: (2024)

Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models
by: Xiang, Yang, et al.
Published: (2025)

Geometric Mixture Models for Electrolyte Conductivity Prediction
by: Li, Anyi, et al.
Published: (2025)

Depth Registers Unlock W4A4 on SwiGLU: A Reader/Generator Decomposition
by: Liu, Ziyang
Published: (2026)

Space Group Constrained Crystal Generation
by: Jiao, Rui, et al.
Published: (2024)

Analysis of Estimating the Bayes Rule for Gaussian Mixture Models with a Specified Missing-Data Mechanism
by: Lyu, Ziyang
Published: (2022)

CARD: A Cache-Assisted Parallel Speculative Decoding Framework via Query-and-Correct Paradigm for Accelerating LLM Inference
by: Zhou, Enyu, et al.
Published: (2025)

Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
by: Zhang, Zishen, et al.
Published: (2025)

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
by: Lin, Guang, et al.
Published: (2025)

Autoregression-Free Neural Operators for Time-Dependent PDEs
by: Zhang, Jiaquan, et al.
Published: (2026)

The AetherFloat Family: Block-Scale-Free Quad-Radix Floating-Point Architectures for AI Accelerators
by: Morisaki, Keita
Published: (2026)

CARD: Towards Conditional Design of Multi-agent Topological Structures
by: Wu, Tongtong, et al.
Published: (2026)

Efficient Autoregressive Inference for Transformer Probabilistic Models
by: Hassan, Conor, et al.
Published: (2025)

An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs
by: Liu, Haolin, et al.
Published: (2025)

TCDformer-based Momentum Transfer Model for Long-term Sports Prediction
by: Liu, Hui, et al.
Published: (2024)

AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design
by: Li, Xinze, et al.
Published: (2024)

Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling
by: Liu, Xixian, et al.
Published: (2025)

Quantization-Free Autoregressive Action Transformer
by: Sheebaelhamd, Ziyad, et al.
Published: (2025)

Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
by: Blondel, Mathieu, et al.
Published: (2025)

Learning Coarse-Grained Dynamics on Graph
by: Yu, Yin, et al.
Published: (2024)

Physics Guided Generative Optimization for Trotter Suzuki Decomposition
by: Yan, WenBin
Published: (2026)

Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data
by: Wu, Sanyou, et al.
Published: (2025)

Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table
by: Wu, Haoyuan, et al.
Published: (2025)

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
by: Han, Jiaqi, et al.
Published: (2024)

Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)

Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation
by: Pamshetti, Vijay Babu, et al.
Published: (2025)

Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
by: Seo, Younggyo, et al.
Published: (2024)

Continuous Control with Coarse-to-fine Reinforcement Learning
by: Seo, Younggyo, et al.
Published: (2024)

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
by: Lu, Jiecheng, et al.
Published: (2025)

Reward Weighted Classifier-Free Guidance as Policy Improvement in Autoregressive Models
by: Peysakhovich, Alexander, et al.
Published: (2026)

Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
by: Lucena, Anaísa, et al.
Published: (2026)

Coarse-to-Fine Learning of Dynamic Causal Structures
by: Yang, Dezhi, et al.
Published: (2026)