Robert Zinkov - RankMe

15 papers A* 2A 2B 1Misc 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Verified Multi-Step Synthesis using Large Language Models and Monte Carlo Tree Search. CoRR David Brandfonbrener, Sibi Raja, Tarun Prasad, Chloe Loughridge, Jianang Yang, Simon Henniger, William E. Byrd, Robert Zinkov, Nada Amin
2023	J	`jnl`	PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Comput. Sci. 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
2022	A	`conf`	Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS 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
2021	—	`conf`	probKanren: A Simple Probabilistic Extension for microKanren. ICLP Workshops Robert Zinkov, William E. Byrd
2020	J	`jnl`	Simulation-Based Inference for Global Health Decisions. CoRR 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
2019	J	`jnl`	Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR 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
2018	A*	`conf`	Faithful Inversion of Generative Models for Effective Amortized Inference. NeurIPS Stefan Webb, Adam Golinski, Robert Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh, Frank Wood
2018	—	`conf`	Querying Word Embeddings for Similarity and Relatedness. NAACL-HLT Fatemeh Torabi Asr, Robert Zinkov, Michael N. Jones
2017	A	`conf`	Composing Inference Algorithms as Program Transformations. UAI Robert Zinkov, Chung-chieh Shan
2017	J	`jnl`	Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. CoRR Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood
2017	J	`jnl`	Using Synthetic Data to Train Neural Networks is Model-Based Reasoning. CoRR Tuan Anh Le, Atilim Gunes Baydin, Robert Zinkov, Frank D. Wood
2017	B	`conf`	Using synthetic data to train neural networks is model-based reasoning. IJCNN Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood
2016	J	`jnl`	Composing inference algorithms as program transformations. CoRR Robert Zinkov, Chung-chieh Shan
2016	Misc	`conf`	Probabilistic Inference by Program Transformation in Hakaru (System Description). FLOPS Praveen Narayanan, Jacques Carette, Wren Romano, Chung-chieh Shan, Robert Zinkov
2008	A*	`conf`	Potential-based Shaping in Model-based Reinforcement Learning. AAAI John Asmuth, Michael L. Littman, Robert Zinkov