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Ishita Dasgupta
Ishita Dasgupta
Research Scientist, DeepMind New York City
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
992018
Where do hypotheses come from?
I Dasgupta, E Schulz, SJ Gershman
Cognitive psychology 96, 1-25, 2017
942017
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
662019
Remembrance of inferences past: Amortization in human hypothesis generation
I Dasgupta, E Schulz, ND Goodman, SJ Gershman
Cognition 178, 67-81, 2018
572018
A theory of learning to infer.
I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman
Psychological review 127 (3), 412, 2020
372020
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
292021
Memory as a computational resource
I Dasgupta, SJ Gershman
Trends in Cognitive Sciences 25 (3), 240-251, 2021
222021
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
212012
Can language models learn from explanations in context?
AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ...
arXiv preprint arXiv:2204.02329, 2022
112022
Resonating valence-bond physics on the honeycomb lattice
P Patil, I Dasgupta, K Damle
Physical Review B 90 (24), 245121, 2014
102014
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
92018
Analyzing Machine‐Learned Representations: A Natural Language Case Study
I Dasgupta, D Guo, SJ Gershman, ND Goodman
Cognitive Science 44 (12), e12925, 2020
82020
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
72021
Markov transitions between attractor states in a recurrent neural network
J Bernstein, I Dasgupta, D Rolnick, H Sompolinsky
2017 AAAI Spring Symposium Series, 2017
72017
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
52017
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
22021
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
22019
Clustering and the efficient use of cognitive resources
I Dasgupta, TL Griffiths
Journal of Mathematical Psychology 109, 102675, 2022
12022
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
12022
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