Jonathan Malmaud

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 9

Top Topics

Dirichlet Process

Reading Comprehension

Markov Chain Monte Carlo

Multiple Choice

Top Venues

Publications

Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishah Singh, Michele Catasta
Measuring The Impact Of Programming Language Distribution. CoRR (2023)
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta
Measuring the Impact of Programming Language Distribution. ICML (2023)
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
Pareto-Optimal Quantized ResNet Is Mostly 4-bit. CoRR (2021)
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. CVPR Workshops (2021)
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
STARC: Structured Annotations for Reading Comprehension. ACL (2020)
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
STARC: Structured Annotations for Reading Comprehension. CoRR (2020)
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension. CoRR (2020)
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension. CoNLL (2020)
Jonathan Malmaud, Lyndon White
TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow. J. Open Source Softw. 3 (31) (2018)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL (2015)
Eyal Dechter, Jonathan Malmaud, Ryan P. Adams, Joshua B. Tenenbaum
Bootstrap Learning via Modular Concept Discovery. IJCAI (2013)
Dan Lovell, Jonathan Malmaud, Ryan P. Adams, Vikash K. Mansinghka
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures CoRR (2013)
Jonathan Malmaud, Joshua B. Tenenbaum, Peter Dayan, Laurence T. Maloney, Edward Vul, Nick Chater
Computational, Cognitive, and Neural Models of Decision-making Biases. CogSci (2012)