Aditi Jha

Postdoc, Stanford University

Joined

May 2021

Names

Aditi Jha (Preferred)

Emails

****@princeton.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Postdoc

Stanford University (stanford.edu)

2024 – Present

PhD student

Princeton University (princeton.edu)

2019 – 2024

Undergrad student

Indian Institute of Technology, Delhi (iitd.ernet.net)

2015 – 2019

Advisors, Relations & Conflicts

Postdoc Advisor

Scott Linderman

2024 – Present

PhD Advisor

Jonathan Pillow

2019 – 2024

Undergrad Advisor

Sumeet Agarwal

2015 – 2019

Expertise

Neuroscience

Present

Probabilistic modeling

Present

Publications

Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
Aditi Jha, Diksha Gupta, Carlos D Brody, Jonathan W. Pillow
- NeurIPS 2024 spotlight
- Readers: Everyone
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms
Aditi Jha, Sam Havens, Jeremy Dohmann, Alexander Trott, Jacob Portes
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks
Aditi Jha, Joshua C. Peterson, Thomas L. Griffiths
- Published: 01 Jan 2023, Last Modified: 27 Apr 2023
- Cogn. Sci. 2023
- Readers: Everyone
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior
Zoe Ashwood, Aditi Jha, Jonathan W. Pillow
- Published: 31 Oct 2022, Last Modified: 14 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Bayesian Active Learning for Discrete Latent Variable Models
Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow
- 2022 (modified: 18 Apr 2023)
- CoRR 2022
- Readers: Everyone
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Aditi Jha, Michael J. Morais, Jonathan W. Pillow
- 2021 (modified: 18 Apr 2023)
- ICML 2021
- Readers: Everyone
Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions?
Aditi Jha, Sumeet Agarwal
- Published: 01 Jan 2019, Last Modified: 27 Apr 2023
- CogSci 2019
- Readers: Everyone

Aditi Jha

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems

LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms

Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks

Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior

Bayesian Active Learning for Discrete Latent Variable Models

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

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

Co-Authors