Implicit Reparameterization Gradients

22 May 2018

Papers citing "Implicit Reparameterization Gradients"

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Title
Unraveling particle dark matter with Physics-Informed Neural Networks M.P. Bento H.B. Câmara J.F. Seabra 67 0 0 24 Feb 2025
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 100 1 0 24 Nov 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 47 0 0 01 Oct 2024
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem Roumen Nikolaev Popov 29 0 0 16 Apr 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 48 2 0 05 Mar 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity Jiahe Lin Huitian Lei G. Michailidis CML 31 0 0 25 Feb 2024
Kernel Density Matrices for Probabilistic Deep Learning Fabio A. González Raúl Ramos-Pollán Joseph A. Gallego-Mejia 18 2 0 26 May 2023
The Lie-Group Bayesian Learning Rule E. M. Kıral Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 23 2 0 08 Mar 2023
Differentiable Rendering with Reparameterized Volume Sampling Nikita Morozov D. Rakitin Oleg Desheulin Dmitry Vetrov Kirill Struminsky 19 4 0 21 Feb 2023
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction Donghao Zhou Chunbin Gu Junde Xu Furui Liu Qiong Wang Guangyong Chen Pheng-Ann Heng MoE 18 4 0 20 Dec 2022
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs Alexander K. Lew Mathieu Huot S. Staton Vikash K. Mansinghka 22 20 0 13 Dec 2022
SG-VAD: Stochastic Gates Based Speech Activity Detection Jonathan Svirsky Ofir Lindenbaum 46 4 0 28 Oct 2022
Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao Ning Xu Xin Geng 126 75 0 08 Apr 2022
Rectified Max-Value Entropy Search for Bayesian Optimization Q. Nguyen K. H. Low Patrick Jaillet 25 5 0 28 Feb 2022
Towards Controllable Agent in MOBA Games with Generative Modeling Shubao Zhang 42 0 0 15 Dec 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 36 9 0 08 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee Narendra Ahuja A. Cherian UQCV VGen BDL 44 17 0 06 Oct 2021
Stochastic Contrastive Learning Jason Ramapuram Dan Busbridge Xavier Suau Russ Webb BDL SSL 44 3 0 01 Oct 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 44 46 0 20 Apr 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 31 15 0 01 Apr 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 30 10 0 14 Mar 2021
Self-Progressing Robust Training Minhao Cheng Pin-Yu Chen Sijia Liu Shiyu Chang Cho-Jui Hsieh Payel Das AAML VLM 29 9 0 22 Dec 2020
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 27 3 0 10 Nov 2020
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference Sean Plummer Shuang Zhou A. Bhattacharya David B. Dunson D. Pati DRL 16 2 0 23 Oct 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick Mehdi Rezaee Francis Ferraro BDL DRL 17 27 0 22 Oct 2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data Niels Bruun Ipsen Pierre-Alexandre Mattei J. Frellsen DRL 14 54 0 23 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 41 223 0 18 Jun 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 20 10 0 08 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 24 28 0 08 Jun 2020
Wasserstein-based Graph Alignment Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 12 23 0 12 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 39 20 0 08 Mar 2020
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin Mark Schmidt Mohammad Emtiyaz Khan BDL 41 35 0 24 Feb 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 23 7 0 22 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 29 116 0 13 Feb 2020
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho-Jui Hsieh AAML 35 78 0 30 Oct 2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data Yuan Jin Ming Liu Yunfeng Li Ruohua Xu Lan Du Longxiang Gao Yong Xiang 19 5 0 12 Oct 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 13 6 0 07 Oct 2019
Explaining Visual Models by Causal Attribution Álvaro Parafita Jordi Vitrià CML FAtt 62 35 0 19 Sep 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 400 0 25 Jun 2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes Creighton Heaukulani Mark van der Wilk BDL 32 15 0 22 Jun 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 25 118 0 05 Jun 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors Trung Trinh Tho Quan Trung Mai BDL 19 2 0 01 May 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 34 172 0 17 Jan 2019
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Pierre-Alexandre Mattei J. Frellsen SyDa 25 45 0 06 Dec 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 26 31 0 12 Sep 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 24 52 0 06 Aug 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 39 116 0 12 Jul 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 30 110 0 05 Jun 2018
Stochastic Backpropagation through Mixture Density Distributions Alex Graves BDL 57 44 0 19 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015