Papers citing 'Normalizing Flows for Probabilistic Modeling and Inference'

Title
Designing a Conditional Prior Distribution for Flow-Based Generative Models Noam Issachar Mohammad Salama Raanan Fattal Sagie Benaim 395 0 0 13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a reviewInformation Fusion (Inf. Fusion), 2025 Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 512 14 0 13 Feb 2025
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 462 9 0 12 Feb 2025
Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology A. Gahlot Rafael Orozco Felix J. Herrmann 327 1 0 11 Feb 2025
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling A. Gahlot Felix J. Herrmann 159 1 0 11 Feb 2025
Flow Matching for Collaborative Filtering Chengkai Liu Yangtian Zhang Jianling Wang Rex Ying James Caverlee 197 1 0 11 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 257 9 0 10 Feb 2025
Flow-based Conformal Prediction for Multi-dimensional Time Series Junghwan Lee Chen Xu Yao Xie AI4TS AI4CE 291 2 0 08 Feb 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2025 J. Brahmanage Jiajing Ling Akshat Kumar 337 1 0 08 Feb 2025
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making Prince Zizhuang Wang Jinhao Liang Shuyi Chen Ferdinando Fioretto Shixiang Zhu OffRL AI4CE 347 4 0 08 Feb 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Grigory Bartosh Dmitry Vetrov C. A. Naesseth 420 7 0 04 Feb 2025
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Shu-yuan Wang Hikaru Sasaki Takamitsu Matsubara 157 0 0 04 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Hanyang Zhao Haoxian Chen Ji Zhang D. Yao Wenpin Tang 491 15 0 03 Feb 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni Louis Rouillard Demian Wassermann 323 1 0 28 Jan 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effectsJournal of Cosmology and Astroparticle Physics (JCAP), 2023 Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 509 9 0 28 Jan 2025
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation Zibo Zhao Zeqiang Lai Qingxiang Lin Yunfei Zhao Haolin Liu ... Jingwei Huang Chunchao Guo Jie Jiang Jingwei Huang Chunchao Guo 689 155 0 21 Jan 2025
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matchingPhysical Review Research (PRR), 2025 Hao Xie Saburo Howard Guglielmo Mazzola 264 2 0 17 Jan 2025
Simulating the Hubbard Model with Equivariant Normalizing Flows Dominic Schuh Janik Kreit Evan Berkowitz L. Funcke Thomas Luu K. Nicoli Marcel Rodekamp 164 6 0 13 Jan 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 364 14 0 10 Jan 2025
Stochastic Process Learning via Operator Flow Matching Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli 506 5 0 07 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsNeural Information Processing Systems (NeurIPS), 2024 Daniela de Albuquerque John Pearson DiffM 408 1 0 03 Jan 2025
Simulation-based Inference for Cardiovascular Models Antoine Wehenkel Laura Manduchi Jens Behrmann Guillermo Sapiro Andrew C. Miller Marco Cuturi Ozan Sener Marco Cuturi J. Jacobsen 483 10 0 31 Dec 2024
How Evaluation Choices Distort the Outcome of Generative Drug DiscoveryJournal of Cheminformatics (J Cheminform), 2024 Rıza Özçelik F. Grisoni 225 3 0 24 Dec 2024
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers Laura Manduchi Antoine Wehenkel Jens Behrmann Luca Pegolotti Andy C. Miller Ozan Sener Marco Cuturi Guillermo Sapiro J. Jacobsen OOD 203 3 0 23 Dec 2024
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 343 2 0 22 Dec 2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency Taisuke Kobayashi Takumi Aotani 283 5 0 17 Dec 2024
Causally Consistent Normalizing FlowAAAI Conference on Artificial Intelligence (AAAI), 2024 Qingyang Zhou Kangjie Lu Meng Xu 204 0 0 16 Dec 2024
EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction Qingwen Tian Yuxin Xu Yixuan Yang Zhen Wang Ziqi Liu Pengju Yan Xiaolin Li 232 2 0 15 Dec 2024
Fast and Robust Visuomotor Riemannian Flow Matching PolicyIEEE Transactions on robotics (IEEE Trans. Robot.), 2024 Haoran Ding Noémie Jaquier Jan Peters Leonel Rozo 484 9 0 14 Dec 2024
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction Alex Morehead Jianlin Cheng OOD 361 8 0 14 Dec 2024
Sampling from Boltzmann densities with physics informed low-rank formatsScale Space and Variational Methods in Computer Vision (SSVM), 2024 Paul Hagemann Janina Enrica Schutte David Sommer Martin Eigel Gabriele Steidl 285 0 0 10 Dec 2024
Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow GradientsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Simon Kristoffersson Lind Rudolph Triebel V. Krüger 239 1 0 10 Dec 2024
Nested Diffusion Models Using Hierarchical Latent PriorsComputer Vision and Pattern Recognition (CVPR), 2024 Xiao Zhang Ruoxi Jiang Rebecca Willett Michael Maire BDL DiffM 323 1 0 08 Dec 2024
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2024 Sam Griesemer Defu Cao Zijun Cui Carolina Osorio Wenshu Fan 277 4 0 07 Dec 2024
SyncFlow: Toward Temporally Aligned Joint Audio-Video Generation from Text Haohe Liu Gaël Le Lan Xinhao Mei Zhaoheng Ni Anurag Kumar Varun K. Nagaraja Wenwu Wang Mark D. Plumbley Yangyang Shi Vikas Chandra VGen 319 9 0 03 Dec 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation Chang Won Lee Selina Leveugle Svetlana Stolpner Chris Langley Paul Grouchy Jonathan Kelly Steven Waslander 275 1 0 29 Nov 2024
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Eshant English Christoph Lippert AI4TS AI4CE 203 2 0 26 Nov 2024
sbi reloaded: a toolkit for simulation-based inference workflowsJournal of Open Source Software (JOSS), 2024 Jan Boelts Michael Deistler Manuel Gloeckler Álvaro Tejero-Cantero Jan-Matthis Lueckmann ... Jonas Beck J. Kapoor David S. Greenberg P. J. Gonçalves Jakob H Macke 405 22 0 26 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flowsStatistics and computing (Stat. Comput.), 2024 F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 360 2 0 24 Nov 2024
When are dynamical systems learned from time series data statistically accurate?Neural Information Processing Systems (NeurIPS), 2024 Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 232 7 0 09 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy ClutterIEEE International Conference on Robotics and Automation (ICRA), 2024 Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 470 6 0 06 Nov 2024
Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios Aasa Feragen Andreas Abildtrup Hansen Georgios Arvanitidis BDL 241 7 0 04 Nov 2024
Optimal Classification under Performative Distribution ShiftNeural Information Processing Systems (NeurIPS), 2024 Edwige Cyffers Muni Sreenivas Pydi Jamal Atif Olivier Cappé 287 6 0 04 Nov 2024
Marginal Causal Flows for Validation and InferenceNeural Information Processing Systems (NeurIPS), 2024 Daniel de Vassimon Manela Laura Battaglia Robin J. Evans CML 283 8 0 02 Nov 2024
EigenVI: score-based variational inference with orthogonal function expansionsNeural Information Processing Systems (NeurIPS), 2024 Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 203 12 0 31 Oct 2024
Video prediction using score-based conditional density estimation P. Fiquet Eero P. Simoncelli AI4TS 148 0 0 30 Oct 2024
Full-waveform earthquake source inversion using simulation-based inferenceGeophysical Journal International (GJI), 2024 A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 344 2 0 30 Oct 2024
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows Alicja Polanska Thibeau Wouters Peter T. H. Pang Kaze K. W. Wong Jason D. McEwen 249 2 0 28 Oct 2024
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 258 1 0 25 Oct 2024
Learned Reference-based Diffusion Sampling for multi-modal distributions Maxence Noble Louis Grenioux Marylou Gabrié Alain Durmus DiffM 444 11 0 25 Oct 2024