Spremljaj
Akshay K. Jagadish
Akshay K. Jagadish
Helmholtz Munich
Preverjeni e-poštni naslov na tuebingen.mpg.de - Domača stran
Naslov
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Leto
Inducing anxiety in large language models increases exploration and bias
J Coda-Forno, K Witte, AK Jagadish, M Binz, Z Akata, E Schulz
arXiv preprint arXiv:2304.11111, 2023
662023
Generalization in data-driven models of primary visual cortex
KK Lurz, M Bashiri, K Willeke, AK Jagadish, E Wang, EY Walker, ...
International Conference on Learning Representations (ICLR), 2021
522021
Meta-learned models of cognition
M Binz, I Dasgupta, AK Jagadish, M Botvinick, JX Wang, E Schulz
Behavioral and Brain Sciences 47, e147, 2024
452024
A flow-based latent state generative model of neural population responses to natural images
M Bashiri, E Walker, KK Lurz, A Jagadish, T Muhammad, Z Ding, Z Ding, ...
Advances in Neural Information Processing Systems 34, 15801-15815, 2021
312021
In-context learning agents are asymmetric belief updaters
JA Schubert, AK Jagadish, M Binz, E Schulz
International Conference on Machine Learning (ICML), 2024
26*2024
Zero-shot compositional reasoning in a reinforcement learning setting
AK Jagadish, M Binz, T Saanum, JX Wang, E Schulz
OSF, 2023
212023
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
AK Jagadish, J Coda-Forno, M Thalmann, E Schulz, M Binz
International Conference on Machine Learning (ICML), 2024
19*2024
Structural correlates of personality dimensions in healthy aging and MCI
C Rodriguez, AK Jagadish, DE Meskaldji, S Haller, F Herrmann, ...
Frontiers in psychology 9, 2652, 2019
9*2019
Centaur: a foundation model of human cognition
M Binz, E Akata, M Bethge, F Brändle, F Callaway, J Coda-Forno, ...
arXiv preprint arXiv:2410.20268, 2024
82024
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
C Demircan, T Saanum, AK Jagadish, M Binz, E Schulz
International Conference on Learning Representations (ICLR), 2024
62024
Selfie detection by synergy-constraint based convolutional neural network
Y Annadani, V Naganoor, AK Jagadish, K Chemmangat
2016 12th International Conference on Signal-Image Technology & Internet …, 2016
52016
Assessing and alleviating state anxiety in large language models
Z Ben-Zion, K Witte, AK Jagadish, O Duek, I Harpaz-Rotem, ...
npj Digital Medicine 8 (1), 132, 2025
4*2025
Word boundary estimation for continuous speech using higher order statistical features
V Naganoor, AK Jagadish, K Chemmangat
2016 IEEE Region 10 Conference (TENCON), 966-969, 2016
32016
Artificial Bee Colony (ABC) based variable density sampling scheme for CS-MRI
AK Jagadish, S Goswami, P Saha, S Chakrabarty, K Rajgopal
2016 IEEE Region 10 Conference (TENCON), 1254-1257, 2016
22016
Assessing and alleviating state anxiety in large language models
K Witte, AK Jagadish, O Duek, I Harpaz-Rotem, MC Khorsandian, ...
npj digital medicine 8 (1), 2025
2025
Towards Automation of Cognitive Modeling using Large Language Models
M Rmus, AK Jagadish, M Mathony, T Ludwig, E Schulz
arXiv preprint arXiv:2502.00879, 2025
2025
Authors’ Response: Meta-learning: Data, architecture, and both.
M Binz, I Dasgupta, A Jagadish, M Botvinick, JX Wang, E Schulz
Cambridge University Press, 2024
2024
Meta-learning: Data, architecture, and both.
M Binz, I Dasgupta, A Jagadish, M Botvinick, JX Wang, E Schulz
Behavioral & Brain Sciences 47, 2024
2024
In-context learning in natural and artificial intelligence
AK Jagadish, I Dasgupta, J Pesnot Lerousseau, M Binz
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
2024
Quo Vadis, Planning?
M Binz, I Dasgupta, AK Jagadish, M Botvinick, JP Lerousseau, ...
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