TerpreT: A Probabilistic Programming Language for Program Induction

TerpreT: A Probabilistic Programming Language for Program Induction

15 August 2016

Alexander L. Gaunt

Marc Brockschmidt

Jonathan Taylor

Papers citing "TerpreT: A Probabilistic Programming Language for Program Induction"

15 / 15 papers shown

Title
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 22 10 0 13 Jun 2022
Code Building Genetic Programming Edward R. Pantridge Lee Spector 6 17 0 09 Aug 2020
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 134 43 0 23 Jul 2020
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 28 41 0 30 May 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 24 196 0 24 Apr 2019
A review on Neural Turing Machine Soroor Malekmohamadi Faradonbe Faramarz Safi Esfahani AI4CE 16 6 0 10 Apr 2019
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector Amit Zohar Lior Wolf 8 78 0 12 Sep 2018
Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang Gregory Rosenblatt Ethan Fetaya Renjie Liao William E. Byrd M. Might R. Urtasun R. Zemel NAI 11 30 0 08 Sep 2018
Towards Neural Theorem Proving at Scale Pasquale Minervini Matko Bosnjak Tim Rocktaschel Sebastian Riedel LRM NAI 13 38 0 21 Jul 2018
HOUDINI: Lifelong Learning as Program Synthesis Lazar Valkov Dipak Chaudhari Akash Srivastava Charles Sutton Swarat Chaudhuri 16 78 0 31 Mar 2018
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 45 478 0 13 Nov 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Programming with a Differentiable Forth Interpreter Matko Bosnjak Tim Rocktaschel Jason Naradowsky Sebastian Riedel 15 148 0 21 May 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory Marcin Andrychowicz Karol Kurach 36 51 0 09 Feb 2016