v1v2 (latest)

Normalizing Flows for Probabilistic Modeling and Inference

Journal of machine learning research (JMLR), 2019

5 December 2019

George Papamakarios

Eric T. Nalisnick

Danilo Jimenez Rezende

S. Mohamed

Balaji Lakshminarayanan

TPM

AI4CE

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Papers citing "Normalizing Flows for Probabilistic Modeling and Inference"

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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 356 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 273 3 0 28 Oct 2024
Learned Reference-based Diffusion Sampling for multi-modal distributions Maxence Noble Louis Grenioux Marylou Gabrié Alain Durmus DiffM 460 11 0 25 Oct 2024
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 258 1 0 25 Oct 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 193 1 0 24 Oct 2024
Universal approximation property of ODENet and ResNet with a single activation functionJournal of Computational Mathematics and Data Science (JCMDS), 2024 M. Kimura Kazunori Matsui Yosuke Mizuno 141 0 0 22 Oct 2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One StepInternational Conference on Learning Representations (ICLR), 2024 Mingyuan Zhou Huangjie Zheng Yi Gu Zhendong Wang Hai Huang DiffM 470 31 0 19 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 268 1 0 18 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Sandeep Nagar Girish Varma TPM 384 0 0 18 Oct 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time SeriesNeural Information Processing Systems (NeurIPS), 2024 Giangiacomo Mercatali André Freitas Jie Chen BDL CML AI4TS 389 6 0 17 Oct 2024
A theoretical perspective on mode collapse in variational inference Roman Soletskyi Marylou Gabrié Bruno Loureiro DRL 169 7 0 17 Oct 2024
Training Neural Samplers with Reverse Diffusive KL DivergenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Wenlin Chen Jiajun He Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 343 15 0 16 Oct 2024
Bayesian Experimental Design via Contrastive DiffusionsInternational Conference on Learning Representations (ICLR), 2024 Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 317 5 0 15 Oct 2024
DFM: Interpolant-free Dual Flow Matching Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata AI4CE 222 0 0 11 Oct 2024
Preferential Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2024 Petrus Mikkola Luigi Acerbi Arto Klami 375 3 0 11 Oct 2024
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions Xinyu Liao Aoyang Qin Jacob H. Seidman Junqi Wang Wei Wang P. Perdikaris DiffM 200 2 0 11 Oct 2024
Cost-aware Simulation-based InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Ayush Bharti Daolang Huang Samuel Kaski F. Briol 223 2 0 10 Oct 2024
Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 269 1 0 10 Oct 2024
Optimal Transportation by Orthogonal Coupling Dynamics Mohsen Sadr Peyman Mohajerin Esfehani Hossein Gorji OT 493 1 0 10 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 410 2 0 09 Oct 2024
EventFlow: Forecasting Temporal Point Processes with Flow Matching Gavin Kerrigan Kai Nelson Padhraic Smyth AI4TS 269 1 0 09 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative ModelingInternational Conference on Learning Representations (ICLR), 2024 Yang Jin Zhicheng Sun Ningyuan Li Kun Xu K. Xu ... Nan Zhuang Quzhe Huang Yang Song Yadong Mu Zhouchen Lin VGen 497 195 0 08 Oct 2024
Density estimation with LLMs: a geometric investigation of in-context learning trajectoriesInternational Conference on Learning Representations (ICLR), 2024 Toni J. B. Liu Nicolas Boullé Raphaël Sarfati Christopher Earls 321 2 0 07 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 333 4 0 07 Oct 2024
The Visualization JUDGE : Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception? Matthew Berger Shusen Liu 207 2 0 05 Oct 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 266 1 0 04 Oct 2024
CaLMFlow: Volterra Flow Matching using Causal Language Models Shiyang Zhang Daniel Levine Ivan Vrkic Marco Francesco Bressana David Zhang S. Rizvi Yangtian Zhang E. Zappala David van Dijk 130 1 0 03 Oct 2024
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization Mikhail Persiianov Arip Asadulaev Nikita Andreev Nikita Starodubcev Dmitry Baranchuk Anastasis Kratsios Evgeny Burnaev Alexander Korotin 391 1 0 03 Oct 2024
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoringGeophysical Journal International (GJI), 2024 A. Gahlot Rafael Orozco Ziyi Yin Felix J. Herrmann 172 8 0 02 Oct 2024
Bounds on Lp errors in density ratio estimation via f-divergence loss functionsInternational Conference on Learning Representations (ICLR), 2024 Yoshiaki Kitazawa 257 2 0 02 Oct 2024
Knowledge Graph Embedding by Normalizing FlowsAAAI Conference on Artificial Intelligence (AAAI), 2023 Changyi Xiao Xiangnan He Yixin Cao 200 5 0 30 Sep 2024
A Comprehensive Guide to Simulation-based Inference in Computational Biology Xiaoyu Wang Ryan P. Kelly A. Jenner D. Warne Christopher C. Drovandi 279 5 0 29 Sep 2024
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas Yang Li Shengyuan Xu Jinqiao Duan 182 0 0 29 Sep 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 388 2 0 29 Sep 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 224 5 0 28 Sep 2024
Towards an active-learning approach to resource allocation for population-based damage prognosis G. Tsialiamanis Keith Worden Nikolaos Dervilis A. Hughes 120 0 0 27 Sep 2024
Embed and Emulate: Contrastive representations for simulation-based inference Ruoxi Jiang Peter Y. Lu Rebecca Willett 210 1 0 27 Sep 2024
Generative AI-driven forecasting of oil production Yash Gandhi Kexin Zheng Birendra Jha K. Nomura A. Nakano P. Vashishta R. Kalia 188 1 0 24 Sep 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control ProblemsJournal of Computational Physics (JCP), 2024 Mo Zhou Stanley Osher Wuchen Li 316 7 0 24 Sep 2024
MAISI: Medical AI for Synthetic ImagingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Pengfei Guo Can Zhao Dong Yang Ziyue Xu Vishwesh Nath ... Benjamin D. Simon Mason J Belue Stephanie Harmon Baris Turkbey Daguang Xu DiffM MedIm 261 49 0 13 Sep 2024
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning Hanyang Zhao Haoxian Chen Ji Zhang David D. Yao Wenpin Tang 300 11 0 12 Sep 2024
Neural Product Importance Sampling via Warp CompositionACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024 Joey Litalien Jian Yang Fujun Luan Krishna Mullia Iliyan Georgiev 205 4 0 12 Sep 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 429 20 0 12 Sep 2024
A Deep Generative Learning Approach for Two-stage Adaptive Robust OptimizationInternational Conference on Learning Representations (ICLR), 2024 Aron Brenner Rahman Khorramfar Jennifer Sun Saurabh Amin 423 0 0 05 Sep 2024
On Nonparanormal Likelihoods Torsten Hothorn 80 4 0 30 Aug 2024
DeepSPoC: A Deep Learning-Based PDE Solver Governed by Sequential Propagation of Chaos Kai Du Yongle Xie Tao Zhou Yuancheng Zhou 135 0 0 29 Aug 2024
Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems Yuán Chen Dongbin Xiu 202 2 0 27 Aug 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on PerformanceKnowledge Discovery and Data Mining (KDD), 2024 Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 244 2 0 24 Aug 2024
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency DistillationInternational Symposium on Chinese Spoken Language Processing (ISCSLP), 2024 Shihao Chen Yu Gu Jianwei Cui Jie Zhang Rilin Chen Lirong Dai 133 3 0 22 Aug 2024
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate Paul Jeha Will Grathwohl Michael Riis Andersen Carl Henrik Ek J. Frellsen DiffM 264 5 0 22 Aug 2024