Articles with public access mandates - Ishita DasguptaLearn more
Available somewhere: 16
Where do hypotheses come from?
I Dasgupta, E Schulz, SJ Gershman
Cognitive psychology 96, 1-25, 2017
Mandates: US National Science Foundation
A theory of learning to infer.
I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman
Psychological review 127 (3), 412, 2020
Mandates: US Department of Defense
Remembrance of inferences past: Amortization in human hypothesis generation
I Dasgupta, E Schulz, ND Goodman, SJ Gershman
Cognition 178, 67-81, 2018
Mandates: US National Science Foundation, US Department of Defense
Memory as a computational resource
I Dasgupta, SJ Gershman
Trends in cognitive sciences 25 (3), 240-251, 2021
Mandates: US National Science Foundation, US Department of Defense
Using natural language and program abstractions to instill human inductive biases in machines
S Kumar, CG Correa, I Dasgupta, R Marjieh, MY Hu, R Hawkins, ...
Advances in Neural Information Processing Systems 35, 167-180, 2022
Mandates: US Department of Defense, US National Institutes of Health
Meta-learned models of cognition
M Binz, I Dasgupta, AK Jagadish, M Botvinick, JX Wang, E Schulz
Behavioral and Brain Sciences, 1-38, 2023
Mandates: Volkswagen Foundation
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
Mandates: Department of Science & Technology, India
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
Resonating valence-bond physics on the honeycomb lattice
P Patil, I Dasgupta, K Damle
Physical Review B 90 (24), 245121, 2014
Mandates: Department of Science & Technology, India
Clustering and the efficient use of cognitive resources
I Dasgupta, TL Griffiths
Journal of Mathematical Psychology 109, 102675, 2022
Mandates: US Department of Defense
Disentangling abstraction from statistical pattern matching in human and machine learning
S Kumar, I Dasgupta, ND Daw, JD Cohen, TL Griffiths
PLoS computational biology 19 (8), e1011316, 2023
Mandates: US Department of Defense, US National Institutes of Health
Analyzing machine‐learned representations: A natural language case study
I Dasgupta, D Guo, SJ Gershman, ND Goodman
Cognitive Science 44 (12), e12925, 2020
Mandates: US National Science Foundation, US Department of Defense
Distinguishing rule- and exemplar-based generalization in learning systems
I Dasgupta, E Grant, TL Griffiths
International Conference on Machine Learning 162, 4816-4830, 2022
Mandates: US Department of Defense
Markov transitions between attractor states in a recurrent neural network
J Bernstein, I Dasgupta, D Rolnick, H Sompolinsky
2017 AAAI Spring Symposium Series, 2017
Mandates: US National Science Foundation
Large content and behavior models to understand, simulate, and optimize content and behavior
A Khandelwal, A Agrawal, A Bhattacharyya, Y Kumar, S Singh, ...
The Twelfth International Conference on Learning Representations, 2023
Mandates: US National Science Foundation, US Institute of Education Sciences, US …
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