Robert Zinkov

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 14

Top Topics

Generative Model

Bucket Elimination

Inference Problems

Diagnostic Systems

Top Venues

Publications

David Brandfonbrener, Sibi Raja, Tarun Prasad, Chloe Loughridge, Jianang Yang, Simon Henniger, William E. Byrd, Robert Zinkov, Nada Amin
Verified Multi-Step Synthesis using Large Language Models and Monte Carlo Tree Search. CoRR (2024)
Oriol Abril Pla, Virgile Andréani, Colin Carroll, Larry Dong, Christopher Fonnesbeck, Maxim Kochurov, Ravin Kumar, Junpeng Lao, Christian C. Luhmann, Osvaldo A. Martin, Michael Osthege, Ricardo Vieira, Thomas V. Wiecki, Robert Zinkov
PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Comput. Sci. 9 (2023)
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS (2022)
Robert Zinkov, Willliam E. Byrd
probKanren: A Simple Probabilistic Extension for microKanren. ICLP Workshops (2021)
Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin
Simulation-Based Inference for Global Health Decisions. CoRR (2020)
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR (2019)
Stefan Webb, Adam Golinski, Robert Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh, Frank Wood
Faithful Inversion of Generative Models for Effective Amortized Inference. NeurIPS (2018)
Fatemeh Torabi Asr, Robert Zinkov, Michael N. Jones
Querying Word Embeddings for Similarity and Relatedness. NAACL-HLT (2018)
Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood
Using synthetic data to train neural networks is model-based reasoning. IJCNN (2017)
Robert Zinkov, Chung-chieh Shan
Composing Inference Algorithms as Program Transformations. UAI (2017)
Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood
Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. CoRR (2017)
Tuan Anh Le, Atilim Gunes Baydin, Robert Zinkov, Frank D. Wood
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning. CoRR (2017)
Praveen Narayanan, Jacques Carette, Wren Romano, Chung-chieh Shan, Robert Zinkov
Probabilistic Inference by Program Transformation in Hakaru (System Description). FLOPS (2016)
Robert Zinkov, Chung-chieh Shan
Composing inference algorithms as program transformations. CoRR (2016)
John Asmuth, Michael L. Littman, Robert Zinkov
Potential-based Shaping in Model-based Reinforcement Learning. AAAI (2008)