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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
Generative Machine Learning for Multivariate Equity Returns Ruslan Tepelyan Achintya Gopal AIFin SyDa 70 6 0 21 Nov 2023
Variational Elliptical Processes Maria B˙ankestad Jens Sjölund Jalil Taghia Thomas B. Schon 87 2 0 21 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 80 4 0 15 Nov 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice Idan Lev-Yehudi Moran Barenboim Vadim Indelman 144 6 0 13 Nov 2023
Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows Christina Winkler David Rolnick 81 0 0 12 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 122 16 0 09 Nov 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows Simon Dirmeier Ye Hong Yanan Xin Fernando Pérez-Cruz UQCV 67 1 0 01 Nov 2023
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances Jannis Chemseddine Paul Hagemann Christian Wald 112 3 0 20 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 106 7 0 11 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 674 15 0 04 Oct 2023
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation Songlin Wei JIazhao Zhang Yang Wang Ruben Verborgh Hao Su He Wang AI4CE 67 3 0 28 Sep 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 90 5 0 27 Sep 2023
The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows H. Reyes-González Riccardo Torre DRL 64 2 0 18 Sep 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry David Meger UD 84 2 0 25 Aug 2023
POCO: 3D Pose and Shape Estimation with Confidence Sai Kumar Dwivedi Cordelia Schmid Hongwei Yi Michael J. Black Dimitrios Tzionas 3DH 67 17 0 24 Aug 2023
Calorimeter shower superresolution Ian Pang J. A. Raine David Shih DiffM 77 8 0 22 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows Gianluca Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 59 14 0 22 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 72 8 0 04 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 81 6 0 28 Jul 2023
A generative flow for conditional sampling via optimal transport Jason Alfonso Ricardo Baptista Anupam Bhakta Noam Gal Alfin Hou I. Lyubimova Daniel Pocklington Josef Sajonz G. Trigila Ryan Tsai OT 55 5 0 09 Jul 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 80 31 0 16 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging Jeffrey Wen Rizwan Ahmad Philip Schniter MedIm 75 9 0 02 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 57 12 0 31 May 2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators Tom Blau Iadine Chadès Amir Dezfouli Daniel M. Steinberg Edwin V. Bonilla 77 1 0 29 May 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 72 12 0 22 May 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation A. Sengupta Ignas Budvytis R. Cipolla 3DH 104 20 0 11 May 2023
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting M. Algren T. Golling M. Guth C. Pollard J. A. Raine 16 8 0 28 Apr 2023
Generative modeling of time-dependent densities via optimal transport and projection pursuit Jonah Botvinick-Greenhouse Yunan Yang R. Maulik OT 76 3 0 19 Apr 2023
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling Yulin Liu Haoran Liu Yingda Yin Yang Wang Baoquan Chen Heru Wang 90 13 0 08 Apr 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 122 3 0 06 Apr 2023
Locality-constrained autoregressive cum conditional normalizing flow for lattice field theory simulations R. DineshP. AI4CE 57 0 0 04 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 64 9 0 28 Mar 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 60 7 0 26 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution Jiemei Yao Li-Yuan Tsao Yi-Chen Lo Roy Tseng Chia-Che Chang Chun-Yi Lee SupR 51 35 0 09 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification Rafael Orozco M. Louboutin Ali Siahkoohi G. Rizzuti Tristan van Leeuwen Felix J. Herrmann OOD 75 13 0 06 Mar 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference Xiongjie Chen Yunpeng Li 84 16 0 19 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 122 27 0 04 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 91 3 0 03 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling Lucas Berry David Meger 71 8 0 02 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein Andrew Y. K. Foong T. E. Fjelde Bruno Mlodozeniec Marc Brockschmidt Sebastian Nowozin Frank Noé Ryota Tomioka AI4CE 144 47 0 02 Feb 2023
Generative structured normalizing flow Gaussian processes applied to spectroscopic data Natalie Klein N. Panda P. Gasda Diane Oyen 18 1 0 14 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 92 0 0 01 Dec 2022
Denoising Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 104 5 0 30 Nov 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 76 16 0 27 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 108 6 0 24 Oct 2022
Transport Reversible Jump Proposals L. Davies Roberto Salomone Matthew Sutton Christopher C. Drovandi BDL 85 2 0 22 Oct 2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions Paweł Antoni Pierzchlewicz R. J. Cotton Mohammad Ali Bashiri Fabian H. Sinz 3DH 81 8 0 20 Oct 2022
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow Jiayi Wang D. Luvizon Franziska Mueller Florian Bernard Adam Kortylewski Dan Casas Christian Theobalt 3DH 79 5 0 04 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 138 30 0 28 Sep 2022