:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Cong, Gong, Chengyue, Liu, Zhenyu, Zhao, Jiale, Zhang, Yuxuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.03946
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

XDXD: End-to-end crystal structure determination with low resolution X-ray diffraction
by: Zhao, Jiale, et al.
Published: (2025)

Rectified Flow For Structure Based Drug Design
by: Zhang, Daiheng, et al.
Published: (2024)

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows
by: Zhang, Shujian, et al.
Published: (2024)

Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
by: He, Dongxiao, et al.
Published: (2025)

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM
by: Gong, Chengyue, et al.
Published: (2025)

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
by: Lu, Jiarui, et al.
Published: (2023)

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
by: Chen, Yuxin, et al.
Published: (2026)

StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)

Protenix-Mini+: efficient structure prediction model with scalable pairformer
by: Qiang, Bo, et al.
Published: (2025)

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
by: Li, Yuxuan, et al.
Published: (2022)

Two-Stage Regularization-Based Structured Pruning for LLMs
by: Feng, Mingkuan, et al.
Published: (2025)

Of All StrIPEs: Investigating Structure-informed Positional Encoding for Efficient Music Generation
by: Agarwal, Manvi, et al.
Published: (2025)

StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery
by: Wei, Yuan-Hao
Published: (2026)

StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure
by: Opper, Mattia, et al.
Published: (2023)

F-StrIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation
by: Agarwal, Manvi, et al.
Published: (2025)

OrgFlow: Generative Modeling of Organic Crystal Structures from Molecular Graphs
by: Vahediahmar, Mohammadmahdi, et al.
Published: (2026)

Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows
by: Gong, Chengyue, et al.
Published: (2025)

Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers
by: Gong, Zixuan, et al.
Published: (2025)

A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion
by: Cheng, Chaoran, et al.
Published: (2026)

2SSP: A Two-Stage Framework for Structured Pruning of LLMs
by: Sandri, Fabrizio, et al.
Published: (2025)

TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
by: YuHang, Wang, et al.
Published: (2025)

Switchable Decision: Dynamic Neural Generation Networks
by: Zhang, Shujian, et al.
Published: (2024)

Stage-wise Distortion-Perception Traversal in Zero-shot Inverse Problems with Diffusion Models
by: Zhang, Jiawei, et al.
Published: (2026)

StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)

MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching
by: Zeng, Cheng, et al.
Published: (2026)

AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)

On Computational Limits of FlowAR Models: Expressivity and Efficiency
by: Cao, Yang, et al.
Published: (2025)

Two-Stage Feature Generation with Transformer and Reinforcement Learning
by: Gao, Wanfu, et al.
Published: (2025)

A Periodic Bayesian Flow for Material Generation
by: Wu, Hanlin, et al.
Published: (2025)

ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity
by: Tone, Yuji, et al.
Published: (2025)

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
by: Song, Yuxuan, et al.
Published: (2024)

From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity
by: Liu, Haoming, et al.
Published: (2025)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
by: Guan, Yanchen, et al.
Published: (2025)

The Two-Stage Decision-Sampling Hypothesis: Understanding the Emergence of Self-Reflection in RL-Trained LLMs
by: Zhao, Zibo, et al.
Published: (2026)

Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
by: Liu, Junhao, et al.
Published: (2025)

FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)

Evaluating Uplift Modeling under Structural Biases: Insights into Metric Stability and Model Robustness
by: Yang, Yuxuan, et al.
Published: (2026)

A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
by: Gong, Chen, et al.
Published: (2025)

Attribution-Guided Continual Learning for Large Language Models
by: Liu, Yazheng, et al.
Published: (2026)

Generative Unordered Flow for Set-Structured Data Generation
by: Li, Yangming, et al.
Published: (2025)