Pyro: Deep Universal Probabilistic Programming

18 October 2018

Papers citing "Pyro: Deep Universal Probabilistic Programming"

50 / 436 papers shown

Title
CleanPatrick: A Benchmark for Image Data Cleaning Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Ludovic Amruthalingam ... Philipp Tschandl A. Koochek Matthew Groh Alexander A. Navarini Marc Pouly OOD 22 0 0 16 May 2025
Bayesian Hierarchical Invariant Prediction Francisco Madaleno Pernille Julie Viuff Sand Francisco C. Pereira Sergio Hernan Garrido Mejia 14 0 0 16 May 2025
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 37 2 0 16 May 2025
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Juehang Qin Shixiao Liang C. Tunnell TPM 37 0 0 15 May 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis Hao Tang Thiago Veloso Kevin Ellis Joshua B. Tenenbaum Tomás Lozano-Pérez Leslie Pack Kaelbling 83 0 0 04 May 2025
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion Aurelio Raffa Ugolini M. Tanelli Valentina Breschi MoE 24 0 0 02 May 2025
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data Sven Goblirsch Benedikt Ruhland Johannes Betz Markus Lienkamp 39 0 0 29 Apr 2025
Factor Analysis with Correlated Topic Model for Multi-Modal Data Małgorzata Łazęcka Ewa Szczurek 23 0 0 26 Apr 2025
DeepRV: pre-trained spatial priors for accelerated disease mapping Jhonathan Navott Daniel Jenson Seth Flaxman Elizaveta Semenova 47 0 0 27 Mar 2025
Lobster: A GPU-Accelerated Framework for Neurosymbolic Programming Paul Biberstein Ziyang Li Joseph Devietti Mayur Naik 35 0 0 27 Mar 2025
AutoBayes: A Compositional Framework for Generalized Variational Inference Toby St Clere Smithe Marco Perin BDL CoGe 69 0 0 24 Mar 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 39 0 0 19 Mar 2025
Deep Belief Markov Models for POMDP Inference Giacomo Arcieri K. Papakonstantinou D. Štraub Eleni Chatzi 43 0 0 17 Mar 2025
Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts Samuele Sandrini M. Faroni N. Pedrocchi 63 0 0 10 Mar 2025
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design Yasir Zubayr Barlas Kizito Salako 32 0 0 07 Mar 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson Van Tran Max Z. Li Chuchu Fan 42 0 0 28 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 62 1 0 10 Feb 2025
The Odyssey of the Fittest: Can Agents Survive and Still Be Good? Dylan Waldner Risto Miikkulainen 51 0 0 08 Feb 2025
Student-t processes as infinite-width limits of posterior Bayesian neural networks Francesco Caporali Stefano Favaro Dario Trevisan BDL 188 0 0 06 Feb 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 107 0 0 30 Jan 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen-You Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 167 0 0 26 Jan 2025
sbi reloaded: a toolkit for simulation-based inference workflows Jan Boelts Michael Deistler Manuel Gloeckler Álvaro Tejero-Cantero Jan-Matthis Lueckmann ... Jonas Beck J. Kapoor David S. Greenberg P. J. Gonçalves Jakob H Macke 85 4 0 26 Nov 2024
Running Markov Chain Monte Carlo on Modern Hardware and Software Pavel Sountsov Colin Carroll Matthew D. Hoffman BDL 39 2 0 06 Nov 2024
Multi-environment Topic Models Dominic Sobhani Amir Feder David M. Blei 30 0 0 31 Oct 2024
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 42 5 0 31 Oct 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 38 0 0 31 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 35 0 0 29 Oct 2024
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse Eleftheria Tsipidi Franz Nowak Ryan Cotterell Ethan Gotlieb Wilcox Mario Giulianelli Alex Warstadt 40 3 0 21 Oct 2024
Forecasting Company Fundamentals Felix Divo Eric Endress Kevin Endler Kristian Kersting Devendra Singh Dhami AI4TS 25 0 0 21 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 51 4 0 20 Oct 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal Juliusz Ziomek Masaki Adachi Michael A. Osborne 37 1 0 14 Oct 2024
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks M. Haywood-Alexander Giacamo Arcieri A. Kamariotis Eleni Chatzi 34 1 0 02 Oct 2024
Probabilistic Answer Set Programming with Discrete and Continuous Random Variables Damiano Azzolini Fabrizio Riguzzi 17 0 0 30 Sep 2024
Automated Discovery of Pairwise Interactions from Unstructured Data Zuheng Xu Moksh Jain Ali Denton Shawn Whitfield Aniket Didolkar Berton A. Earnshaw Jason S. Hartford 31 2 0 11 Sep 2024
On Evaluation of Vision Datasets and Models using Human Competency Frameworks Rahul Ramachandran Tejal Kulkarni Charchit Sharma Deepak Vijaykeerthy Vineeth N Balasubramanian 25 1 0 06 Sep 2024
A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques A. Lebedev Thomas Warford M. Sahin 24 0 0 04 Sep 2024
Confidence-weighted integration of human and machine judgments for superior decision-making Felipe Yánez Xiaoliang Luo Omar Valerio Minero Bradley C. Love 23 2 0 15 Aug 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables Yang Xie Ziqi Xu Debo Cheng Jiuyong Li Lin Liu Yinghao Zhang Zaiwen Feng CML BDL 26 0 0 13 Aug 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 37 0 0 11 Aug 2024
A Psychology-based Unified Dynamic Framework for Curriculum Learning Guangyu Meng Qingkai Zeng John P. Lalor Hong-ye Yu 31 0 0 09 Aug 2024
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware Deep Chatterjee Ethan Marx W. Benoit Ravi Kumar Malina Desai ... M. Saleem Shrey Aggarwal Michael W. Coughlin Philip C. Harris E. Katsavounidis 38 0 0 26 Jul 2024
Language-Based Security for Low-Level MPC Christian Skalka Joseph P. Near 26 1 0 23 Jul 2024
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation Alicia Y. Tsai Michael Viderman Anahita Hosseini Zemin Zhang Ariel Raviv Lichan Hong 24 0 0 22 Jul 2024
Building Machines that Learn and Think with People Katherine M. Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra Lionel Wong ... Mark K. Ho Vikash K. Mansinghka Adrian Weller Joshua B. Tenenbaum Thomas L. Griffiths 54 30 0 22 Jul 2024
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 34 1 0 17 Jul 2024
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data Sheng Chai Gus Chadney Charlot Avery Phil Grunewald Pascal Van Hentenryck P. Donti 28 6 0 16 Jul 2024
Walking the Values in Bayesian Inverse Reinforcement Learning Ondrej Bajgar Alessandro Abate Konstantinos Gatsis Michael A. Osborne OffRL BDL 30 0 0 15 Jul 2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson Jakob Torgander Paul-Christian Bürkner Lu Zhang Bob Carpenter Aki Vehtari 42 6 0 06 Jul 2024
Coding schemes in neural networks learning classification tasks Alexander van Meegen H. Sompolinsky 39 6 0 24 Jun 2024
Probabilistic Programming with Programmable Variational Inference McCoy R. Becker Alexander K. Lew Xiaoyan Wang Matin Ghavami Mathieu Huot Martin Rinard Vikash K. Mansinghka 59 3 0 22 Jun 2024