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Learning Likelihoods with Conditional Normalizing Flows

29 November 2019

Papers citing "Learning Likelihoods with Conditional Normalizing Flows"

50 / 156 papers shown

Title
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models Tian Xia Fabio De Sousa Ribeiro Rajat Rasal Avinash Kori Raghav Mehta Ben Glocker DiffM 48 0 0 17 Jun 2025
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history Pedro Pessoa Juan Andres Martinez Vincent Vandenbroucke Frank Delvigne Steve Pressé 71 0 0 11 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 24 0 0 09 Jun 2025
Amortized variational transdimensional inference Laurence Davies Dan Mackinlay Rafael Oliveira Scott A. Sisson DRL BDL 123 0 0 05 Jun 2025
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Eshant English Christoph Lippert 48 0 0 29 May 2025
Generative AI for Autonomous Driving: A Review Katharina Winter Abhishek Vivekanandan Rupert Polley Yinzhe Shen Christian Schlauch ... Christian Wirth Omer Sahin Tas Nadja Klein Fabian B. Flohr Hanno Gottschalk 94 0 0 21 May 2025
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow Takahiro Maeda Jinkun Cao Norimichi Ukita Kris Kitani 3DH 83 0 0 19 May 2025
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders Zongliang Ji Andre Carlos Kajdacsy-Balla Amaral Anna Goldenberg Rahul G. Krishnan OffRL 79 0 0 24 Apr 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 78 0 0 19 Mar 2025
End-to-End Optimal Detector Design with Mutual Information Surrogates K. Wozniak Stephen Mulligan J. Kieseler Markus Klute Francois Fleuret Tobias Golling 100 1 0 18 Mar 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 250 12 0 20 Feb 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 121 0 0 18 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 189 3 0 08 Feb 2025
Geometric Neural Process Fields Wenzhe Yin Zehao Xiao Jiayi Shen Yunlu Chen Cees G. M. Snoek Jan-Jakob Sonke E. Gavves AI4CE 174 0 0 04 Feb 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 236 0 0 20 Jan 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 159 2 0 25 Nov 2024
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew Bendel Rizwan Ahmad P. Schniter MedIm DiffM 82 1 0 01 Nov 2024
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging Siyuan Dong Zhuotong Cai G. Hangel W. Bogner G. Widhalm ... Amit Mahajan Amin Karbasi J. Onofrey Robin A. de Graaf James S. Duncan DiffM MedIm 85 14 0 25 Oct 2024
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows Ran An Ke Chen Hongwei Li OOD 80 0 0 23 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 87 0 0 03 Oct 2024
Schrödinger bridge based deep conditional generative learning Hanwen Huang DiffM 55 1 0 25 Sep 2024
Deep Limit Model-free Prediction in Regression Kejin Wu D. Politis OOD 51 0 0 18 Aug 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement Mathieu Cyrille Simon Pascal Frossard Christophe De Vleeschouwer CoGe CML 60 1 0 10 Aug 2024
Neural Conditional Probability for Uncertainty Quantification Vladimir Kostic Karim Lounici Grégoire Pacreau P. Novelli G. Turri Massimiliano Pontil TPM UQCV 136 2 0 01 Jul 2024
Flexible Conformal Highest Predictive Conditional Density Sets Max Sampson Kung-Sik Chan 64 1 0 26 Jun 2024
Efficient mapping of phase diagrams with conditional Boltzmann Generators Maximilian Schebek Michele Invernizzi Frank Noé Jutta Rogal 95 0 0 18 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 88 2 0 02 Jun 2024
Climate Variable Downscaling with Conditional Normalizing Flows Christina Winkler P. Harder David Rolnick AI4Cl 116 5 0 31 May 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 66 0 0 27 May 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression Lucas Kook Chris Kolb Philipp Schiele Daniel Dold Marcel Arpogaus ... Philipp F. M. Baumann Philipp Kopper Tobias Pielok Emilio Dorigatti David Rügamer BDL AI4TS 83 2 0 08 May 2024
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems Rafael Orozco Ali Siahkoohi M. Louboutin Felix J. Herrmann 77 2 0 08 May 2024
Modelling Sampling Distributions of Test Statistics with Autograd A. A. Kadhim Harrison B. Prosper 60 0 0 03 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 238 4 0 29 Apr 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference Xiaoyu Wang Ryan P. Kelly D. Warne Christopher C. Drovandi 115 5 0 21 Apr 2024
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks Zirui Zang Ahmad Amine Rahul Mangharam 114 0 0 20 Apr 2024
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder Sheikh Waqas Akhtar DRL 62 0 0 18 Apr 2024
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching Jannis Chemseddine Paul Hagemann Gabriele Steidl Christian Wald 112 12 0 27 Mar 2024
LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow Ziyu Yue Jiaxin Gao Sihan Xie Yang Liu Zhixun Su 49 1 0 29 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 74 0 0 19 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 150 0 0 09 Feb 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows J. Brahmanage Jiajing Ling Akshat Kumar 68 4 0 07 Feb 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM Paul Hagemann J. Hertrich Maren Casfor Sebastian Heidenreich Gabriele Steidl 89 0 0 05 Feb 2024
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations Henrik Schopmans Pascal Friederich AI4CE 91 2 0 02 Feb 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 63 2 0 29 Jan 2024
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 68 6 0 27 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
WISE: full-Waveform variational Inference via Subsurface Extensions Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann 112 17 0 11 Dec 2023
Application of machine learning technique for a fast forecast of aggregation kinetics in space-inhomogeneous systems M. A. Larchenko R. R. Zagidullin V. V. Palyulin N. Brilliantov AI4TS 23 2 0 07 Dec 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 102 10 0 27 Nov 2023
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows Hannes Hilger D. Witthaut Manuel Dahmen L. R. Gorjão Julius Trebbien Eike Cramer 54 6 0 23 Nov 2023