Quotient-Space Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yixian, Wang, Yusong, Luo, Shengjie, Gao, Kaiyuan, He, Tianyu, He, Di, Liu, Chang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Geometric States via Geometric Diffusion Bridge
by: Luo, Shengjie, et al.
Published: (2024)
by: Luo, Shengjie, et al.
Published: (2024)
Improving AlphaFlow for Efficient Protein Ensembles Generation
by: Li, Shaoning, et al.
Published: (2024)
by: Li, Shaoning, et al.
Published: (2024)
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
by: Fan, Jigang, et al.
Published: (2025)
by: Fan, Jigang, et al.
Published: (2025)
Fast and Accurate Blind Flexible Docking
by: Zhang, Zizhuo, et al.
Published: (2025)
by: Zhang, Zizhuo, et al.
Published: (2025)
Pretraining a Foundation Model for Small-Molecule Natural Products
by: Ding, Yuheng, et al.
Published: (2025)
by: Ding, Yuheng, et al.
Published: (2025)
F$^3$low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching
by: Li, Shaoning, et al.
Published: (2024)
by: Li, Shaoning, et al.
Published: (2024)
Large Language Model is Secretly a Protein Sequence Optimizer
by: Wang, Yinkai, et al.
Published: (2025)
by: Wang, Yinkai, et al.
Published: (2025)
Elucidating the Design Space of Multimodal Protein Language Models
by: Hsieh, Cheng-Yen, et al.
Published: (2025)
by: Hsieh, Cheng-Yen, et al.
Published: (2025)
Latent Diffusion Models for Controllable RNA Sequence Generation
by: Huang, Kaixuan, et al.
Published: (2024)
by: Huang, Kaixuan, et al.
Published: (2024)
Hyperbolic Graph Diffusion Model
by: Wen, Lingfeng, et al.
Published: (2023)
by: Wen, Lingfeng, et al.
Published: (2023)
Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis
by: Zhao, Yonghao, et al.
Published: (2025)
by: Zhao, Yonghao, et al.
Published: (2025)
Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning
by: Wang, Qingqing, et al.
Published: (2024)
by: Wang, Qingqing, et al.
Published: (2024)
Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
by: Yu, Zhaoning, et al.
Published: (2024)
by: Yu, Zhaoning, et al.
Published: (2024)
MolTC: Towards Molecular Relational Modeling In Language Models
by: Fang, Junfeng, et al.
Published: (2024)
by: Fang, Junfeng, et al.
Published: (2024)
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2025)
by: Uehara, Masatoshi, et al.
Published: (2025)
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
by: Zhao, Haiteng, et al.
Published: (2025)
by: Zhao, Haiteng, et al.
Published: (2025)
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
by: Li, Yufeng, et al.
Published: (2024)
by: Li, Yufeng, et al.
Published: (2024)
Feedback Efficient Online Fine-Tuning of Diffusion Models
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation
by: He, Liang, et al.
Published: (2024)
by: He, Liang, et al.
Published: (2024)
Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors
by: Banerjee, Amartya, et al.
Published: (2025)
by: Banerjee, Amartya, et al.
Published: (2025)
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides
by: Wang, Yiquan, et al.
Published: (2025)
by: Wang, Yiquan, et al.
Published: (2025)
A Large Sensor Foundation Model Pretrained on Continuous Glucose Monitor Data for Diabetes Management
by: Luo, Junjie, et al.
Published: (2024)
by: Luo, Junjie, et al.
Published: (2024)
Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
by: Wei, Yuhan, et al.
Published: (2026)
by: Wei, Yuhan, et al.
Published: (2026)
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
by: Liang, Po-Yu, et al.
Published: (2024)
by: Liang, Po-Yu, et al.
Published: (2024)
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
by: Su, Xingyu, et al.
Published: (2025)
by: Su, Xingyu, et al.
Published: (2025)
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Artificial Intelligence for Microbiology and Microbiome Research
by: Wang, Xu-Wen, et al.
Published: (2024)
by: Wang, Xu-Wen, et al.
Published: (2024)
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
by: Yu, Zhaoning, et al.
Published: (2024)
by: Yu, Zhaoning, et al.
Published: (2024)
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
by: Fang, Yi, et al.
Published: (2025)
by: Fang, Yi, et al.
Published: (2025)
AntibodyFlow: Normalizing Flow Model for Designing Antibody Complementarity-Determining Regions
by: Xu, Bohao, et al.
Published: (2024)
by: Xu, Bohao, et al.
Published: (2024)
CaLMFlow: Volterra Flow Matching using Causal Language Models
by: He, Sizhuang, et al.
Published: (2024)
by: He, Sizhuang, et al.
Published: (2024)
An Evaluation of Large Language Models in Bioinformatics Research
by: Yin, Hengchuang, et al.
Published: (2024)
by: Yin, Hengchuang, et al.
Published: (2024)
Physiologically Informed Deep Learning: A Multi-Scale Framework for Next-Generation PBPK Modeling
by: Liu, Shunqi, et al.
Published: (2026)
by: Liu, Shunqi, et al.
Published: (2026)
SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
by: Chen, Yigang, et al.
Published: (2025)
by: Chen, Yigang, et al.
Published: (2025)
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
by: Liu, Shengchao, et al.
Published: (2024)
by: Liu, Shengchao, et al.
Published: (2024)
The Latent Space Hypothesis: Toward Universal Medical Representation Learning
by: Patel, Salil
Published: (2025)
by: Patel, Salil
Published: (2025)
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design
by: Zhang, Honggen, et al.
Published: (2024)
by: Zhang, Honggen, et al.
Published: (2024)
Similar Items
-
Bridging Geometric States via Geometric Diffusion Bridge
by: Luo, Shengjie, et al.
Published: (2024) -
Improving AlphaFlow for Efficient Protein Ensembles Generation
by: Li, Shaoning, et al.
Published: (2024) -
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
by: Fan, Jigang, et al.
Published: (2025) -
Fast and Accurate Blind Flexible Docking
by: Zhang, Zizhuo, et al.
Published: (2025) -
Pretraining a Foundation Model for Small-Molecule Natural Products
by: Ding, Yuheng, et al.
Published: (2025)