Aditi Jha

According to our database, Aditi Jha authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Active Learning for Discrete Latent Variable Models.

Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow

Neural Comput., March, 2024

2023

Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks.

Aditi Jha, Joshua C. Peterson, Thomas L. Griffiths

Cogn. Sci., January, 2023

LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms.

Aditi Jha, Sam Havens, Jeremy Dohmann, Alex Trott, Jacob Portes

CoRR, 2023

2022

Bayesian Active Learning for Discrete Latent Variable Models.

Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow

CoRR, 2022

Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior.

Zoe Ashwood, Aditi Jha, Jonathan W. Pillow

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction.

Aditi Jha, Michael J. Morais, Jonathan W. Pillow

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions?

Aditi Jha, Sumeet Agarwal

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019