Key papers

• GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels (2026)
  Xingyu Xiang et al.
  7.32
• Reward Transport: Property Control in Flow Matching via Noise-Space Alignment (2026)
  Kehan Guo et al.
  4.33
• MechAInistic: An LLM-guided Multi-Agent System for Reasoning over Genome-Scale Constraint-Based Metabolic Models (2026)
  Josh Loecker et al.
  4.33
• Plausibility-Driven Prioritization of Candidate Biomedical Annotations (2026)
  Emanuele Cavalleri et al.
  4.33
• TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex (2026)
  Yuliang Yan et al.
  4.33
• Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature (2026)
  Tanjin He et al.
  4.33
• A Density-Matrix Framework for Electronic-Structure Analysis of Functional-Group and Salt Effects in Lithium-Metal Electrolytes (2026)
  Mingkang Liu et al.
  4.33
• TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology (2026)
  Hyunjin Seo et al.
  3.45
• DAGForge: Auditable Causal DAG Authoring with Biomedical Literature (2026)
  Yi-han Sheu et al.
  3.45
• Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors (2025)
  Amartya Banerjee et al.
  2.87
• Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors (2024)
  Wasu Top Piriyakulkij et al.
  2.65
• Geographically Weighted Surrogate Models for Rapid Small-Area Chronic Disease Estimation (2026)
  Aanya Gupta et al.
  1.94
• Flow Matching for Count Data (2026)
  Ganchao Wei et al.
  1.83
• Generative Pseudo-Force Fields for Molecular Generation (2026)
  Stefaan Simon Pierre Hessmann et al.
  1.83
• Quotient-Space Diffusion Models (2026)
  Yixian Xu et al.
  1.78
• CoVAE: correlated multimodal generative modeling (2026)
  Federico Caretti and Guido Sanguinetti
  1.72
• Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain for Molecule and Biological Sequence Design (2026)
  Prin Phunyaphibarn et al.
  1.67
• Unsupervised Denoising of Diffusion-Weighted Images with Bias and Variance Corrected Noise Modeling (2026)
  Jine Xie et al.
  1.67
• CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints (2026)
  Fuyao Huang et al.
  1.67
• Breaking the Bottlenecks: Scalable Diffusion Models for 3D Molecular Generation (2026)
  Adrita Das et al.
  1.61
• Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides (2025)
  Yiquan Wang et al.
  1.50
• A Diffusion Model to Shrink Proteins While Maintaining Their Function (2025)
  Ethan Baron and Alan N. Amin and Ruben Weitzman and Debora Marks and Andrew Gordon Wilson
  1.50
• Controllable protein design with particle-based Feynman-Kac steering (2025)
  Erik Hartman et al.
  1.50
• Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model (2025)
  Danush Kumar Venkatesh et al.
  1.44
• Transforming Multi-Omics Integration with GANs: Applications in Alzheimer's and Cancer (2025)
  Md Selim Reza and Sabrin Afroz and Mostafizer Rahman and Md Ashad Alam
  1.44
• Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery (2025)
  T\'elio Cropsal and Roc\'io Mercado
  1.44
• Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design (2025)
  Xingyu Su et al.
  1.28
• Generation of structure-guided pMHC-I libraries using Diffusion Models (2025)
  Sergio Mares et al.
  1.28
• Branched Schr\"odinger Bridge Matching (2025)
  Sophia Tang et al.
  1.22
• Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment (2025)
  Yuhui Ding et al.
  1.22
• Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation (2025)
  Yihang Wang et al.
  1.17
• Generative diffusion model surrogates for mechanistic agent-based biological models (2025)
  Tien Comlekoglu et al.
  1.17
• A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules (2025)
  Manuel Ruiz-Botella et al.
  1.17
• Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning (2025)
  Nic Fishman et al.
  1.17
• DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty (2025)
  Etienne Goffinet et al.
  1.00
• DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra (2025)
  Montgomery Bohde et al.
  1.00
• NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation (2025)
  Zhiyuan Liu et al.
  1.00
• Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design (2025)
  Masatoshi Uehara et al.
  1.00
• From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering (2025)
  Wen-ran Li et al.
  0.94
• Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review (2025)
  Masatoshi Uehara et al.
  0.94
• scDiffusion: conditional generation of high-quality single-cell data using diffusion model (2024)
  Erpai Luo et al.
  —
• Autoregressive fragment-based diffusion for pocket-aware ligand design (2024)
  Mahdi Ghorbani et al.
  —
• Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion (2024)
  Alex Morehead et al.
  —
• Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design (2024)
  Andrew Campbell et al.
  —
• Feedback Efficient Online Fine-Tuning of Diffusion Models (2024)
  Masatoshi Uehara et al.
  —
• DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading (2024)
  Man M. Ho et al.
  —
• Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models (2024)
  Romain Lacombe and Neal Vaidya
  —
• SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning (2024)
  Jiying Zhang et al.
  —
• Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules (2024)
  Trevor Norton and Debswapna Bhattacharya
  —
• Improving Antibody Design with Force-Guided Sampling in Diffusion Models (2024)
  Paulina Kulyt\.e et al.
  —
• Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization (2024)
  Siyi Gu et al.
  —
• Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review (2024)
  Masatoshi Uehara et al.
  —
• Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening (2024)
  Jiaqing Lyu and Changjie Chen and Bing Liang and Yijia Zhang
  —
• Latent Diffusion Models for Controllable RNA Sequence Generation (2024)
  Kaixuan Huang et al.
  —
• Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops (2024)
  Kevin Borisiak et al.
  —
• When Molecular GAN Meets Byte-Pair Encoding (2024)
  Huidong Tang et al.
  —
• CaLMFlow: Volterra Flow Matching using Causal Language Models (2024)
  Sizhuang He et al.
  —
• Bridging Geometric States via Geometric Diffusion Bridge (2024)
  Shengjie Luo et al.
  —