Ishita Dasgupta

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Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Eric SchulzMax Planck Institute for Biological CyberneticsVerified email at tue.mpg.de
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Demi GuoHarvard UniversityVerified email at college.harvard.edu
Jane X. WangStaff Research Scientist, DeepMindVerified email at google.com
Joshua B. TenenbaumMITVerified email at mit.edu
Silvia ChiappaSenior Staff Research Scientist, DeepMind; Honorary Professor, UCLVerified email at google.com
Jovana MitrovicResearch Scientist at DeepMindVerified email at google.com
Zeb Kurth-NelsonDeepMind, UCLVerified email at google.com
Pedro A. OrtegaGoogle - DeepMindVerified email at google.com
Matthew BotvinickDirector of Neuroscience Research, Team Lead in AI Research, DeepMindVerified email at google.com
Edward HughesStaff Research Engineer, DeepMindVerified email at google.com
Erin GrantPh.D. Candidate, University of California, BerkeleyVerified email at berkeley.edu
Andreas StuhlmüllerOughtVerified email at ought.org
Peter BattagliaResearch Scientist, DeepMindVerified email at google.com
David RaposoGoogle DeepMind, Champalimaud Neuroscience Programme, Cold Spring Harbor LaboratoryVerified email at google.com
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityVerified email at princeton.edu
Sreejan KumarGraduate Student, Princeton UniversityVerified email at princeton.edu
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityVerified email at princeton.edu

Ishita Dasgupta

Research Scientist, DeepMind New York City

Verified email at google.com - Homepage

machine learning computational cognitive science


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Evaluating compositionality in sentence embeddings I Dasgupta, D Guo, A Stuhlmüller, SJ Gershman, ND Goodman Proceedings of the Annual Meeting of the Cognitive Science Society 40 (40), 2018	99	2018
Where do hypotheses come from? I Dasgupta, E Schulz, SJ Gershman Cognitive psychology 96, 1-25, 2017	94	2017
Causal reasoning from meta-reinforcement learning I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ... Workshop on Meta-Learning (MetaLearn 2019) @ NeurIPS 2019, 2019	66	2019
Remembrance of inferences past: Amortization in human hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Cognition 178, 67-81, 2018	57	2018
A theory of learning to infer. I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman Psychological review 127 (3), 412, 2020	37	2020
Are Convolutional Neural Networks or Transformers more like human vision? S Tuli, I Dasgupta, E Grant, TL Griffiths Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021	29	2021
Memory as a computational resource I Dasgupta, SJ Gershman Trends in Cognitive Sciences 25 (3), 240-251, 2021	22	2021
A buried ionizable residue destabilizes the native state and the transition state in the folding of monellin N Aghera, I Dasgupta, JB Udgaonkar Biochemistry 51 (45), 9058-9066, 2012	21	2012
Can language models learn from explanations in context? AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ... arXiv preprint arXiv:2204.02329, 2022	11	2022
Resonating valence-bond physics on the honeycomb lattice P Patil, I Dasgupta, K Damle Physical Review B 90 (24), 245121, 2014	10	2014
Learning to act by integrating mental simulations and physical experiments I Dasgupta, KA Smith, E Schulz, JB Tenenbaum, SJ Gershman Proceedings of the Annual Meeting of the Cognitive Science Society 40 (40), 2018	9	2018
Analyzing Machine‐Learned Representations: A Natural Language Case Study I Dasgupta, D Guo, SJ Gershman, ND Goodman Cognitive Science 44 (12), e12925, 2020	8	2020
Tell me why!--Explanations support learning of relational and causal structure AK Lampinen, NA Roy, I Dasgupta, SCY Chan, AC Tam, JL McClelland, ... arXiv preprint arXiv:2112.03753, 2021	7	2021
Markov transitions between attractor states in a recurrent neural network J Bernstein, I Dasgupta, D Rolnick, H Sompolinsky 2017 AAAI Spring Symposium Series, 2017	7	2017
Meta-Learning of Structured Task Distributions in Humans and Machines S Kumar, I Dasgupta, JD Cohen, ND Daw, TL Griffiths International Conference on Learning Representations, 2021, 2020	5*	2020
Amortized hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Proceedings of the Annual Meeting of the Cognitive Science Society 39 (39), 2017	5	2017
Passive attention in artificial neural networks predicts human visual selectivity TA Langlois, HC Zhao, E Grant, I Dasgupta, TL Griffiths, N Jacoby Advances in Neural Information Processing Systems 34, 2021	2	2021
Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. I Dasgupta, E Schulz, JB Hamrick, J Tenenbaum CogSci, 1-2, 2019	2	2019
Clustering and the efficient use of cognitive resources I Dasgupta, TL Griffiths Journal of Mathematical Psychology 109, 102675, 2022	1	2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning S Kumar, I Dasgupta, R Marjieh, ND Daw, JD Cohen, TL Griffiths arXiv preprint arXiv:2204.01437, 2022	1	2022

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