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Jonathan Malmaud
Jonathan Malmaud
MIT Department of Cognitive Sciences
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Focusing attention on the health aspects of foods changes value signals in vmPFC and improves dietary choice
TA Hare, J Malmaud, A Rangel
Journal of neuroscience 31 (30), 11077-11087, 2011
6152011
The drift diffusion model can account for the accuracy and reaction time of value-based choices under high and low time pressure
M Milosavljevic, J Malmaud, A Huth, C Koch, A Rangel
Judgment and Decision making 5 (6), 437-449, 2010
3752010
What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision
J Malmaud, J Huang, V Rathod, N Johnston, A Rabinovich, K Murphy
NAACL, 143–152, 2015
1812015
Cooking with semantics
J Malmaud, E Wagner, N Chang, K Murphy
Proceedings of the ACL 2014 Workshop on Semantic Parsing, 33-38, 2014
832014
Bootstrap learning via modular concept discovery
E Dechter, J Malmaud, RP Adams, JB Tenenbaum
Proceedings of the international joint conference on artificial intelligence, 2013
772013
The drift diffusion model can account for the accuracy and reaction time of value-based choices under high and low time pressure
M Mormann, J Malmaud, A Huth, C Koch, A Rangel
Judgment and Decision Making 5 (6), 437-449, 2010
712010
Bridging information-seeking human gaze and machine reading comprehension
J Malmaud, R Levy, Y Berzak
arXiv preprint arXiv:2009.14780, 2020
292020
Pareto-optimal quantized resnet is mostly 4-bit
AA Abdolrashidi, L Wang, S Agrawal, J Malmaud, O Rybakov, C Leichner, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
222021
Structured representations of utility in combinatorial domains.
SJ Gershman, J Malmaud, JB Tenenbaum
Decision 4 (2), 67, 2017
202017
Clustercluster: parallel Markov chain Monte Carlo for Dirichlet process mixtures
D Lovell, J Malmaud, RP Adams, VK Mansinghka
arXiv preprint arXiv:1304.2302, 2013
182013
STARC: Structured annotations for reading comprehension
Y Berzak, J Malmaud, R Levy
arXiv preprint arXiv:2004.14797, 2020
172020
TensorFlow. jl: An idiomatic Julia front end for TensorFlow
J Malmaud, L White
Journal of Open Source Software 3 (31), 1002, 2018
112018
What’s cookin’
J Malmaud, J Huang, V Rathod, N Johnston, A Rabinovich, K Murphy
Interpreting cooking videos using text, speech and vision. NAACL 2, 2015
102015
Enriching models of natural language with auxiliary data
JM Malmaud
Massachusetts Institute of Technology, 2020
2020
Computational, Cognitive, and Neural Models of Decision-making Biases
J Malmaud, J Tenenbaum, P Dayan, L Maloney, E Vul, N Chater
Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012
2012
Extracting Entities and Relations from Web Tables Using a Non-parametric Generative Model
J Malmaud, MITK Murphy
City 7, E8, 0
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Articles 1–16