Conditional Generative Modeling

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 255

All topics
CardsList

  1. OrthoGen: A Generative Orthogonal Learner for Time-Varying Treatments

    Oct 7, 2026Tomàs Garriga, Valentyn Melnychuk, Konstantin Hess +4Causal Effect EstimationCausal Inference

    Novartis · Barcelona Supercomputing Center · Universitat Polit`ecnica de Catalunya +2

  2. HuLiGen: Human LiDAR Generation from Parametric Body Models

    Oct 7, 2026Salma Galaaoui, Nermin Samet, David PicardPoint Cloud GenerationConditional Generative Modeling

    Valeo.ai, Paris, France · LIGM, CNRS, Univ Gustave Eiffel, ENPC, Institut Polytechnique de Paris, Marne-la-Vall´ee, France

  3. Relational Abstractions for Spatial Reasoning with Diffusion Models

    Oct 7, 2026Ana Ezquerro, Ozan ÖzdenizciSpatial ReasoningDiffusion Models

    Institute of Machine Learning and Neural Computation Graz University of Technology, Austria

  4. HyperNSDE: Personalized Neural SDEs for Joint Static-Longitudinal Clinical Data Generation

    Oct 5, 2026Perrine Chassat, Agathe GuillouxStochastic Differential EquationsSynthetic Data Generation

    Inria, Université Paris Cité, Inserm, HeKA F-75015 Paris, France

  5. Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli

    Oct 5, 2026Cameron Schofield, Luca Ghafourpour, Philip H. Wong +2Neural Surrogate ModelingConditional Flow Matching

    University of Cambridge · Cedars-Sinai Medical Center · California Institute of Technology +1

  6. Xaurora: Generative Weather Forecasting with Denoising Stochastic Interpolants from a Foundation Model Prior

    Oct 5, 2026Eliot Walt, Miltiadis Kofinas, Nikolaj Mücke +2Probabilistic ForecastingStochastic Interpolants

    Vrije Universiteit Amsterdam · University of Amsterdam · Delft University of Technology +1

  7. Benchmarking Generative Trajectory Models for Active-Inference Control

    Oct 5, 2026Yulin Li, Mohsen A. Jafari, Andrea MattaActive InferenceGenerative Modeling

    Rutgers University–New Brunswick, Piscataway NJ 08854, USA · Politecnico di Milano, Via La Masa 1, 20156 Milano, Italy

  8. Diffusion Transformers are Provably Optimal In-context Generators

    Oct 4, 2026Guoji Fu, Tomoya Wakayama, Ryotaro Kawata +3Diffusion TransformerDiffusion Sampling

    National University of Singapore · RIKEN AIP · The University of Tokyo +1

  9. Generalized Engression Models

    Oct 1, 2026Xinwei Shen, Zijian Guo, Francis BachConditional Distribution EstimationConditional Generative Modeling

    Department of Statistics, University of Washington · Center for Data Science, Zhejiang University · Inria, ´Ecole Normale Sup´erieure, PSL Research University

  10. Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

    Oct 1, 2026Yunrui Guan, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanFlow MatchingCausal Counterfactual Generation

    Department of Applied Mathematics and Statistics, Johns Hopkins University. · Amazon · Department of Statistics, University of California, Davis.

  11. Benchmarking Generative Models for Near-Surface Data Assimilation on Real Station Observations

    Sep 30, 2026Ruizhe Huang, Qidong Yang, Jonathan Giezendanner +1Flow MatchingData Assimilation

    Massachusetts Institute of Technology, Cambridge, MA, USA

  12. Grand Canonical Generators

    Sep 30, 2026Andreas Burger, Malte Franke, Luka Mucko +2Generative ModelingMolecular Generation

    University of Toronto NVIDIA Vector Institute Toronto, Canada · ETH Zurich NCCR Catalysis Zurich, Switzerland · University of Toronto NVIDIA Vector Institute Acceleration Consortium CIFAR Toronto, Canada

  13. Mixture of Decoders for Diverse Dialog Response Generation

    Sep 30, 2026Wenchao DuSpoken Dialogue SystemsDiverse Text Generation

    Microsoft Corporation Redmond, WA 98052

  14. Scaling Collider Event Generation with Residual-Quantized Tokens

    Sep 30, 2026Dan Godi, Dmitrii Kobylianskii, Eilam GrossAutoregressive GenerationConditional Generative Modeling

    Weizmann Institute of Science, Rehovot, Israel

  15. Riemannian Flow Models with Reinforcement Learning for Molecular Crystal Structure Prediction

    Sep 30, 2026Thomas Egg, Harry Winston Sullivan, Maya M. Martirossyan +8Crystal Structure PredictionCrystal Structure Generation

    Center for Soft Matter Research, Department of Physics, New York University, New York 10003, USA · Simons Center for Computational Physical Chemistry, Department of Chemistry, New York University, New York 10003, USA · Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA +7

  16. Conditional Generation of Creative Chess Puzzles with Diffusion Models

    Sep 29, 2026Aatu Selkee, Severi Rissanen, Xidong Feng +2Masked Diffusion ModelsComputational Creativity

    Aalto University · Google DeepMind

  17. Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning

    Sep 29, 2026Umer Gupta, Saku Peltonen, Martin RitzertGraph GenerationAutoregressive Generation

    Independent Researcher London, United Kingdom · ETH Zurich Zurich, Switzerland · Leipzig University Leipzig, Germany

  18. Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models

    Sep 29, 2026Zhiyuan Li, Wenyan Yang, Pekka Marttinen +1Motion RetargetingGenerative Modeling

    Department of Electrical Engineering and Automation, Aalto University, Finland · Department of Computer Science, Aalto University, Finland

  19. DrawingsDreamer: A Unified Multi-View Engineering Drawings Generation Model

    Sep 28, 2026Shurui Liu, Weide Chen, Changwang Yi +1Generative ModelingAutoregressive Generation

    School of Computer Science and Engineering, Sun Yat-sen University, China · School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, China

  20. Simulating Respondents, Not Single Questions: Coherent Survey Generation with Large Language Models

    Sep 28, 2026Ji Huang, Mengfei Li, Shuai ShaoLarge Language Model-Based Social SimulationConditional Generative Modeling

    School of Computer Science, University of Science and Technology of China · School of Management, Fudan University

  21. Livin' on a Prior: Likelihood Score Approximation for Inverse Problems

    Sep 28, 2026Rostislav Makarov, Tal Peer, Danilo de Oliveira +1Conditional Generative ModelingInverse Problems

    Signal Processing University of Hamburg Hamburg, Germany

  22. GeoCFM: Positive-Only Conditional Flow Matching for Mineral Occurrence Sampling

    Sep 28, 2026Moshe Eliasof, Eldad HaberConditional Flow MatchingGeospatial Reasoning

    Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel · Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Canada

  23. Pulseflow: PPG Counterfactual Generation Via Latent Transport

    Sep 27, 2026Hung Manh Pham, Dong Ma, Bin Zhu +1Counterfactual Data AugmentationPhotoplethysmography

    University of Cambridge, United Kingdom

  24. Structured Pose-Conditioned Flow Matching for Generative 5G CSI Augmentation

    Sep 24, 2026Haojin Li, Anbang Zhang, Wai Ho Mow +3Flow MatchingSynthetic Data Augmentation

    University of Science and Technology Beijing, China · Department of ECE, The Hong Kong University of Science and Technology, Hong Kong · University of Exeter +1

  25. Sufficiently Reduced Distributional Regression

    Sep 24, 2026Alexander Henzi, Tiange Liu, Xinwei ShenConditional Distribution EstimationInverse Dimensionality Reduction

    Tsinghua University, Department of Statistics and Data Science · University of Washington

  26. Probabilistic and Geometry Aware Neural Surrogate of Scrape Off Layer Plasma Simulations

    Sep 23, 2026Gabriele Gianuzzo, Stefan Dasbach, Fleur Hendriks +2Neural Surrogate ModelingSurrogate Modeling

    Eindhoven University of Technology · DIFFER

  27. One-Step Generative Surrogate Models via Block-Triangular Joint Drifting

    Sep 22, 2026Nicholas Geissler, Shreya Jha, Ricardo Baptista +1Surrogate ModelingOne-Step Generative Modeling

    Courant Institute of Mathematical Sciences, New York University · Statistical Sciences, University of Toronto · Institute of Mathematics, EPFL

  28. ShapeLex: Decoupling Local Shape Symbolization and Global Scale Modeling for Text-Controlled Time Series Generation

    Sep 21, 2026Subo Wei, Jianqi Gao, Mingyan Fan +3Time Series GenerationAutoregressive Generation

    School of Computer Engineering and Science, Shanghai University, Shanghai, China · Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China

  29. Belted Engression: Sufficient Dimension Reduction for Generative Distributional Regression

    Sep 20, 2026Wenxi Tan, Bing Li, Lingzhou XueConditional Distribution EstimationInverse Dimensionality Reduction

    Department of Statistics, The Pennsylvania State University

  30. Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning

    Sep 17, 2026Maximilian Negedly, Sebastian Falkner, Alessandro Coretti +1Conditional Generative Modeling

    Faculty of Physics, University of Vienna, 1090 Vienna, Austria · Vienna Doctoral School in Physics, University of Vienna, 1090 Vienna, Austria · Institute of Physics, University of Augsburg, 86159 Augsburg, Germany

  31. Robust and Efficient AI Frameworks for Scalable Material Design and Property Prediction

    Sep 15, 2026Kishalay DasGraph SSLMaterials Property Prediction

  32. Representing Clinical Conditions on Vital Signs from Healthy Individuals using Latent Modeling

    Sep 14, 2026Rafael Pina, Varuna De Silva, Mindula IlleperumaSynthetic Data AugmentationTime Series Generation

    Institute for Digital Technologies Loughborough University London London, United Kingdom

  33. Ensemble-Conditioned Molecular Design

    Sep 14, 2026Ross Irwin, Alessandro Tibo, Jon Paul Janet +1Molecular OptimizationStructure-Based Drug Design

    Molecular AI Discovery Sciences, R&D AstraZeneca Gothenburg, Sweden · Department of Computer Science and Engineering Chalmers University of Technology and University of Gothenburg Gothenburg, Sweden

  34. uFlowCSP: Crystal Structure Prediction using Mean flow generative models

    Sep 9, 2026Sourin Dey, Dipannoy Das Gupta, Lai Wei +2Crystal Structure PredictionOne-Step Generative Modeling

    Department of Computer Science and Engineering University of South Carolina Columbia, SC 29201 · Department of Computer Science and Cybersecurity University of North Georgia Columbia, SC 29201

  35. NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

    Sep 8, 2026Tobias Susetzky, Raphael Rehms, Dmitrii Seletkov +5Irregular Time-Series ModelingClinical Prediction

    Chair for AI in Healthcare and Medicine, TUM University Hospital and Technical University of Munich (TUM), Munich, Germany · Institute for Diagnostic and Interventional Radiology, TUM University Hospital, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany +3

  36. MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis

    Sep 7, 2026Yanhao Huang, Shibo Feng, Wanjin Feng +2Flow MatchingSynthetic Data Generation

    Shanghai Jiao Tong University · Nanyang Technological University · Tsinghua University

  37. OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

    Sep 1, 2026Yunqin Zhu, Feng Qiu, Yao XieConditional Generative ModelingTime-Series Foundation Models

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology · Argonne National Laboratory

  38. FrOGS: Discrete Neural Sampler for Independent Alloy Configurations Across Chemical Conditions

    Sep 1, 2026Kyucheol Min, Elyssa Hofgard, Tess SmidtFree Energy CalculationMaterials Science

    Massachusetts Institute of Technology Cambridge, MA 02139

  39. On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study

    Sep 1, 2026Chathurika S Abeykoon, Mathias Nthiani Muia, Mallory GoldsteinClass-Imbalanced LearningSynthetic Data Augmentation

  40. When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting

    Sep 1, 2026Ariel Smogorghevski, Nir Rosenfeld, Yaniv RomanoMarkov Chain Monte CarloMarkov Models

    Department of Data and Decision Sciences, Technion – Israel Institute of Technology · Department of Computer Science, Technion – Israel Institute of Technology · Department of Electrical and Computer Engineering, Technion – Israel Institute of Technology

  41. Conditional Flow Matching for ML-Based Inverse Design Problems

    Sep 1, 2026Juliana Felder, Milad Habibi, Soheyl Massoudi +1Conditional Flow MatchingConstrained Optimization

    ETH Zürich · University of Maryland, College Park

  42. Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular Generation

    Aug 31, 2026Tianyu Gao, Zhikai Su, Jiashu Li +5Flow MatchingStructure-Based Drug Design

    1City University of Hong Kong · 2The University of Hong Kong · 3Stanford University

  43. Decoupled Latent Flow Matching for Few-Step Joint Vocal-Accompaniment Separation

    Aug 31, 2026Lishi Zuo, Youzhi Tu, Lu Yi +4Flow MatchingFlow-Based Generative Modeling

    Dept. of Electrical and Electronic Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China

  44. Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments

    Aug 30, 2026M. Tsukerman, K. Grotov, D. Vovchuk +1Conditional Generative ModelingInverse Design

  45. FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching

    Aug 13, 2026Zhuohan Wang, Andreea Bacalum, Ollie Olby +2Flow MatchingFlow-Based Generative Modeling

    Joint affiliation with King’s College London · Simudyne United Kingdom · King’s College London United Kingdom

  46. Fine-tuned Normalizing Flows for ALICE Zero Degree Calorimeter Fast Simulation

    Aug 13, 2026Emilia Majerz, Jacek Otwinowski, Witold Dzwinel +1Neural Surrogate ModelingNormalizing Flows

    AGH University of Krakow, Poland · The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences

  47. Flow-based conditional cardiac anatomy generation for virtual cohorts

    Aug 10, 2026Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit +4Normalizing Flows3D Medical Imaging

    Dept. BioMechanical Engineering, Delft University of Technology, Delft, The Netherlands · Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA · BioMMeda – Institute for Biomedical Engineering and Technology, Ghent University, Ghent, Belgium +2

  48. ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

    Aug 10, 2026Kangjun Liu, Xiying Pan, Shuhang Zhang +3Wireless CommunicationsGenerative Modeling

    Pengcheng Laboratory, China · South China University of Technology and the Pengcheng Laboratory, China · Peking University, China +2

  49. Tropical Cyclone Forecasting via Latent Rectified Flow using Satellite Imagery and Atmospheric Fields

    Aug 8, 2026Meheru Zannat, Sk. Md. Masudul AhsanRectified FlowSpatiotemporal Forecasting

    Department of Computer Science and Engineering Khulna University of Engineering & Technology Khulna 9203, Bangladesh

  50. CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting

    Aug 7, 2026Quang Minh Dinh, Tuan Kiet DoanLong-Horizon Video GenerationVision Foundation Model Adaptation

    Simon Fraser University, Burnaby, BC, Canada · Institut Polytechnique de Paris, Palaiseau, France

  51. Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy

    Aug 7, 2026Francesca Pia Panaccione, Eugenio Lomurno, Matteo Matteucci3D Medical ImagingComputed Tomography

    Department of Electronics, Information, and Bioengineering Politecnico di Milano

  52. ED-CSP: Crystal Structure Prediction from Electron Diffraction

    Aug 6, 2026Germain Poloudenny, Yaël Frégier, Arnaud DemortièreCrystal Structure PredictionCrystal Structure Generation

    Laboratoire de Mathématiques de Lens (LML), UR 2462, Université d’Artois, Lens, France · Laboratoire de Réactivité et de Chimie des Solides (LRCS), CNRS UMR 7314, UPJV, Amiens, France · Réseau sur le Stockage Electrochimique de l’Energie (RS2E), CNRS FR 3459, Amiens, France +1

  53. Energy-Guided Flow Matching

    Aug 6, 2026Haoyang Tong, Yu He, Fang Li +6Flow MatchingConditional Image Generation

    MAIS & NLPR, CASIA · JD.com · Xi'an Jiaotong University +1

  54. FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting

    Aug 6, 2026Yann Fabel, Bijan Nouri, Milon Miah +4Time Series ForecastingSolar Power Forecasting

    1DLR, Institute of Solar Research · 2RWTH Aachen University · 3CIEMAT, Energy Department, Renewable Energy Division

  55. Marginal Matching Does Not License Factorized Sampling: Auditing Conditional Style Leakage in Factorized Generative Models

    Aug 5, 2026Duong Bach, Hai Nguyen Hong, Cuong DoDisentangled Representation LearningLatent Variable Models

    Smart Health Center (VISHC), VinUniversity, Ha Noi, Viet Nam

  56. CSGen: A Multi-Domain Curvilinear Structure Generation Model via Hierarchical Multimodal Diffusion

    Aug 5, 2026Zhe Shan, Ziming Yang, Lei Zhou +3Image GenerationConditional Generative Modeling

    Hainan University Haikou, China · Guangdong Ocean University Zhanjiang, China

  57. Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation

    Aug 5, 2026Scott H. HawleyRepresentation LearningSelf-Supervised Pre-Training

    Department of Chemistry & Physics Belmont University Nashville, TN, USA

  58. AI-Based Sound Effect Generation: A Narrative Review of Generative Models Across Input Modalities

    Aug 4, 2026Sandy Abdo, Bill Kapralos, Priyamvada Tripathi +2Text-to-Audio GenerationSound Effects Generation

    Ontario Tech University, Oshawa, ON, Canada · Durham College, Oshawa, ON, Canada · Carleton University, Ottawa, ON, Canada

  59. GSRAIN: Physically Calibrated High-/Low-Frequency Rainfall Synthesis for 3D Gaussian Driving Scenes

    Aug 3, 2026Fanyu Wang, Longgao Zhang, Junyi Chen3D Gaussian SplattingConditional Generative Modeling

    Fanyu Wang, Longgao Zhang, and Junyi Chen are with the College of Automotive and Energy Engineering, Tongji University, Shanghai, China.

  60. GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation

    Aug 3, 2026Jeonghyeok Do, Munchurl KimGeospatial Foundation ModelsDiffusion-Based Image Generation

    Information & Electronics Research Institute KAIST · School of Electrical Engineering KAIST