Conditional Generative Modeling

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29 papers in the last four weeks, up 142% on the four weeks before. 0.3% of all new papers.

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  1. PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design

    Aug 2, 2026Charlie Pyle, Adarsh Gadari, C. Adrian Figg +3Molecular OptimizationMolecular Generation

    Texas A&M University · University of Pittsburgh · Department of Chemistry, Virginia Tech +2

  2. Fused Bayesian Flow Networks for Dual-Target Molecular Design

    Aug 2, 2026Jingyuan Zhou, Shikui Tu, Lei XuStructure-Based Drug DesignMolecular Generation

    School of Computer Science, Shanghai Jiao Tong University · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)

  3. UniPolymer: A Unified Framework for Property Prediction, Structure Recommendation, and Evaluation in Polyimide Design

    Jul 31, 2026Junquan Hu, Zhihui Wang, Peng Xu +4Materials ScienceMolecular Property Prediction

    School of Software Dalian University of Technology Dalian, China · Department of Information Engineering The Chinese University of Hong Kong Hong Kong SAR, China

  4. StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers

    Jul 31, 2026Xujun Che, Depeng Xu, Xintao WuDiffusion TransformerDifferentially Private Stochastic Gradient Descent

    Department of Cybersecurity, University of North Carolina at Charlotte, Charlotte, NC, USA · Department of Electrical Engineering and Computer Science, University of Arkansas, Fayetteville, AR, USA

  5. Context-Informed Ship Trajectory Prediction via Conditional Attention

    Jul 29, 2026Yuan Guan, Chandler Squires, Timothy Hu +1Cross-AttentionVessel Trajectory Prediction

    Machine Learning Department, Carnegie Mellon University · Advanced Technology Laboratories Lockheed Martin

  6. Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics

    Jul 28, 2026Timy Phan, Jannik Wiese, Björn OmmerPredictive Representation LearningMotion Planning

  7. From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations

    Jul 28, 2026Abhishek A. Sabnis, Mihai Mitrea, Lya Lugon +5Conditional Generative ModelingInverse Problems

    CEREA, ENPC, Institut Polytechnique de Paris, Île-de-France, France. · Department of Computing, Imperial College London, London, UK. · Dynamic Systems Lab, University College London, London, UK. +1

  8. Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design

    Jul 27, 2026Peng WangGenerative ModelingConditional Generative Modeling

    Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

  9. Joint Flow Matching for Generator-Consistent Classification

    Jul 27, 2026Hayden McAlister, Lech SzymanskiFlow MatchingContinuous Normalizing Flows

    School of Computing University of Otago Dunedin, New Zealand

  10. MS-GPT: Rethinking MS/MS De Novo Structure Elucidation as Spectrum-Induced Posterior Querying of a Molecule-Language Model

    Jul 26, 2026Xin Zhao, Yumin Liu, Zhuo Li +5Language ModelingMolecular Generation

  11. Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling

    Jul 26, 2026Hengyuan Cao, Shizhuo Cheng, Mingxuan Liu +5Molecular GenerationProtein Design

    Zhejiang University, Hangzhou, China · Fudan University, Shanghai, China · Shanghai Institute for Advanced Study Zhejiang University, Shanghai, China +1

  12. Fashion-3DLR: A Controllable 3D Garment Generation Using Pairwise Fashion Elements for Intelligent Design

    Jul 25, 2026Shenghao Yang, Hongtao Zhang, Yuhan Yi +63D Asset GenerationConditional Generative Modeling

    Donghua University Shanghai, China · Shanghai Artificial Intelligence Laboratory Shanghai, China

  13. Not All EEG Moments Are Equal: Position-Adaptive Time Scheduling for EEG Generation

    Jul 25, 2026Boheng Liu, Ziyu Li, Chenghua Duan +2Brain-Computer InterfacesTime Series Generation

    School of Computer Science and Technology Beijing Institute of Technology Beijing, China

  14. M3^3-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data

    Jul 23, 2026Francesca Pia Panaccione, Carlo Sgaravatti, Marco VenereMultimodal GenerationMultimodal Model Interpretability

    DEIB - Dipartimento Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, 20133, Italy

  15. Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods

    Jul 21, 2026Seyed Mohammadreza Alavi, Ardeshir Shojaeinasab, Reza Jalayer +2Synthetic Data GenerationTime Series Generation

    Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran · Department of Electrical and Computer Engineering, University of Victoria, Victoria BC, Canada · FAST-Lab, Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 7, 33720 Tampere, Finland +1

  16. Decafs: Disentangled Conditional adversarial Flows

    Jul 21, 2026Anirudh jain, Sakshi Varshney, Samuel Kaski +1Disentangled Representation LearningNormalizing Flows

    Orion Pharma · Aalto University, Finland · Aalto University +3

  17. Three-Body Scattering for Generative Modeling

    Jul 20, 2026Peng Sun, Zhenglin Cheng, Deyuan Liu +3One-Step Generative ModelingDistribution Matching

    Westlake University · Zhejiang University · University College London

  18. SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift

    Jul 20, 2026Jiaqi Zhu, Xincheng Chen, Yuncheng Wu +2Synthetic Data AugmentationGenerative Modeling

    National University of Singapore · Renmin University of China · Beijing Institute of Technology +1

  19. Autoregressive B-Rep Shape Generation with Parametric Surfaces

    Jul 19, 2026Dafei Qin, Rui Xu, Zeyu Shen +8Parametric CAD Modeling3D Shape Generation

    The University of Hong Kong, Deemos Technology Co., Ltd., China · Institute of Software, Chinese Academy of Sciences, China · ShanghaiTech University, Deemos Technology Co., Ltd., China +3

  20. TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching

    Jul 18, 2026Om Roy, Yashar Moshfeghi, Keith Malcolm SmithTime Series GenerationDynamic Graph Learning

    University of Strathclyde

  21. Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations

    Jul 18, 2026Changyu Liu, Yuling Jiao, Jian HuangRepresentation LearningStochastic Interpolants

    Institute for Mathematics and Artificial Intelligence, Wuhan University, Wuhan, China. · School of Artificial Intelligence, Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, China. · Departments of Data Science and Artificial Intelligence, and Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

  22. Semi-Supervised Conditional Diffusion via Label Augmentation

    Jul 18, 2026Jin Su, Yuan Gao, Yong Zhou +1Data AugmentationSemi-Supervised Learning

    aDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China · bSchool of Statistics and Data Science, Nankai University, Tianjin, China · cSchool of Statistics, East China Normal University, Shanghai, China +1

  23. A Research Prototype for Closed-Loop Generative Design of Customized Foot Orthoses via Semantic-Physics Alignment

    Jul 18, 2026Rui Wang, Byungwon Min, Suxing LiuNeural Surrogate ModelingConditional Generative Modeling

    Department of IT Engineering, Mokwon University, Daejeon 35349, South Korea · Shanghai Artificial Intelligence Generative Design Technology Co., Ltd., Shanghai 200000, China · School of Digital Arts, Jiangxi Arts & Ceramics Technology Institute, Jingdezhen 333001, China

  24. A Shortcut to Statistically Steady-State Turbulence with Flow Matching

    Jul 14, 2026Gianluca Galletti, Gerald Gutenbrunner, William Hornsby +5Dynamical SystemsSurrogate Modeling

    Institute for Machine Learning, JKU Linz · United Kingdom Atomic Energy Authority, Culham campus · Mistral AI

  25. LatentFlow: A General Framework for Conditioning Stochastic Processes

    Jul 14, 2026Louis Sharrock, Lachlan Astfalck, Henry MossPosterior SamplingConditional Generative Modeling

    University College London · University of New South Wales · Lancaster University

  26. ANGLE: Angular Neural Generative Learning via Engression

    Jul 14, 2026Rajdeep Pathak, Archi Roy, Tanujit ChakrabortyConditional Generative Modeling

    LPSM, Sorbonne Université, Paris, France · SAFIR, Sorbonne University Abu Dhabi, UAE · Indian Institute of Management, Kozhikode, India

  27. Generating Physically Plausible Parachute Dynamics with Deep Generative Modeling

    Jul 13, 2026Yulong Yang, Clara O'Farrell, Christine Allen-BlanchettePhysics-Informed Generative ModelingPhysics-Informed ML

    Mechanical and Aerospace Engineering, Engineering Quadrangle, Princeton, NJ 08544 · Group Supervisor, Dynamics, Modeling, Flight Mechanics & UQ, 4800 Oak Grove Dr, M/S 198-326, Pasadena, CA 91011, AIAA Member · Center for Statistics and Machine Learning, Engineering Quadrangle, Princeton, NJ 08544

  28. Physics-Aware Conditional SetGAN for Spatially Consistent Multi-User TR 38.901 Channel Generation

    Jul 13, 2026Mauro Gonzalo Tarazona-Levano, David Lopez-Perez, Nicola Piovesan +1Wireless CommunicationsRadio Propagation Modeling

    Institute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València (UPV), Spain · Beihang Valencia Polytechnic Institute (BVPI), China · Huawei Technologies, France

  29. Gene Expression-Informed Jointly Controlled Generative Modeling for Precision Molecular Design

    Jul 13, 2026Hang Yuan, Chen Li, Wenjun Ma +2Molecular OptimizationMolecular Generation

    School of Artificial Intelligence South China Normal University Foshan, Guangdong, China · D3 Center The University of Osaka Suita, Osaka, Japan · School of Computer Science South China Normal University Guangzhou, Guangdong, China

  30. Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling

    Jul 10, 2026Chicago Y. Park, Jialin Mao, Xiaojian Xu +3Unified Multimodal ModelsAutoregressive Image Generation

    University of Wisconsin–Madison · GE HealthCare