Computational, Cognitive, and Neural Models of Decision-making Biases. - Jonathan Malmaud; Joshua B. Tenenbaum; Peter Dayan; Laurence T. Maloney; Edward Vul; Nick Chater (CogSci, 2012)

Bootstrap Learning via Modular Concept Discovery. - Eyal Dechter; Jonathan Malmaud; Ryan P. Adams; Joshua B. Tenenbaum (IJCAI, 2013)

ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures - Dan Lovell; Jonathan Malmaud; Ryan P. Adams; Vikash K. Mansinghka (CoRR, 2013)

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. - Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nicholas Johnston; Andrew Rabinovich; Kevin Murphy 002 (HLT-NAACL, 2015)

TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow. - Jonathan Malmaud; Lyndon White (J. Open Source Softw., 2018)

STARC: Structured Annotations for Reading Comprehension. - Yevgeni Berzak; Jonathan Malmaud; Roger Levy (ACL, 2020)

Bridging Information-Seeking Human Gaze and Machine Reading Comprehension. - Jonathan Malmaud; Roger Levy; Yevgeni Berzak (CoNLL, 2020)

Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. - AmirAli Abdolrashidi; Lisa Wang; Shivani Agrawal; Jonathan Malmaud; Oleg Rybakov; Chas Leichner; Lukasz Lew (CVPR Workshops, 2021)

Measuring the Impact of Programming Language Distribution. - Gabriel Orlanski; Kefan Xiao; Xavier Garcia; Jeffrey Hui; Joshua Howland; Jonathan Malmaud; Jacob Austin; Rishabh Singh; Michele Catasta (ICML, 2023)