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Invertible Generative Modeling using Linear Rational Splines

15 January 2020

Papers citing "Invertible Generative Modeling using Linear Rational Splines"

40 / 40 papers shown

Title
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 72 0 0 24 Apr 2025
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 99 0 0 22 Dec 2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency Taisuke Kobayashi Takumi Aotani 174 5 0 17 Dec 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 140 2 0 29 Sep 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference Xiaoyu Wang Ryan P. Kelly D. Warne Christopher C. Drovandi 113 5 0 21 Apr 2024
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch Caio C. Daumann M. Donega Johannes Erdmann M. Galli Jan Lukas Späh D. Valsecchi AI4CE 36 0 0 27 Mar 2024
Counterfactual Generation with Identifiability Guarantees Hanqi Yan Lingjing Kong Lin Gui Yuejie Chi Eric P. Xing Yulan He Kun Zhang CML OOD 86 9 0 23 Feb 2024
Transformer Neural Autoregressive Flows Massimiliano Patacchiola Aliaksandra Shysheya Katja Hofmann Richard Turner TPM 41 3 0 03 Jan 2024
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 92 10 0 27 Nov 2023
Variational Elliptical Processes Maria B˙ankestad Jens Sjölund Jalil Taghia Thomas B. Schon 71 2 0 21 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 68 0 0 01 Nov 2023
Estimation of Counterfactual Interventions under Uncertainties Juliane Weilbach S. Gerwinn M. Kandemir Martin Fraenzle 75 0 0 15 Sep 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 Novel Application of Conditional Normalizing Flows: Stellar Age Inference with Gyrochronology P. Van-Lane J. Speagle S. Douglas 23 2 0 17 Jul 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 57 12 0 31 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 128 4 0 30 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 94 16 0 24 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 99 20 0 11 May 2023
Efficient Multimodal Sampling via Tempered Distribution Flow Yixuan Qiu Tianlin Li OT 82 4 0 08 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 69 1 0 07 Apr 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 113 27 0 04 Feb 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 110 7 0 08 Dec 2022
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 92 27 0 26 Oct 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 101 21 0 13 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 89 14 0 23 Aug 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si Zeyi Chen Subham S. Sahoo Yair Schiff Volodymyr Kuleshov 96 7 0 14 Jun 2022
Autoregressive Quantile Flows for Predictive Uncertainty Estimation Phillip Si Allan Bishop Volodymyr Kuleshov BDL UQCV AI4TS 199 20 0 09 Dec 2021
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 60 5 0 22 Nov 2021
Learning Temporally Causal Latent Processes from General Temporal Data Weiran Yao Yuewen Sun Alex Ho Changyin Sun Kun Zhang BDL CML 114 87 0 11 Oct 2021
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows Nico Reick Felix Wiewel Alexander Bartler B. Yang CML 30 2 0 06 Sep 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 190 72 0 26 Aug 2021
Harmonization with Flow-based Causal Inference Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD CML 54 28 0 12 Jun 2021
Combining Interventional and Observational Data Using Causal Reductions Maximilian Ilse Patrick Forré Max Welling Joris M. Mooij OOD CML 57 0 0 08 Mar 2021
A Structural Causal Model for MR Images of Multiple Sclerosis Jacob C. Reinhold A. Carass Jerry L. Prince CML MedIm 74 29 0 04 Mar 2021
Measure Transport with Kernel Stein Discrepancy Matthew A. Fisher T. Nolan Matthew M. Graham D. Prangle Chris J. Oates OT 124 15 0 22 Oct 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 125 66 0 15 Jul 2020
Black-box Adversarial Example Generation with Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 46 3 0 06 Jul 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 219 1,720 0 05 Dec 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 93 46 0 18 Mar 2019