Aditi Jha

According to our database, Aditi Jha authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

"Heptadecanol" a phytochemical multi-target inhibitor of SMYD3 & GFPT2 proteins in non-small cell lung cancer: an in-silico & in-vitro investigation.

Lokesh Ravi, Pratishtha Jain, Ajith Kumar K, Jeevan Kumar M, Mukti Panda, Harshitha S, Mohammed Abdul Kareem, K. Sivani Yelchuri Sai, Ayman Fathima, V. Jensha, Adarsh Anurag Rai, Hida Amal Faizal, Shrivats S. R, Ankitha Ajith, Derick Yesudas, Vaarruni S, Varshini S, Raksha Shetty, Aditi Jha, Gundlapalli Saradha Janaki, Varsha Hannah George, Stalin Nithaniyal, Mookkandi Palsamy Kesavan, Sajith Ahamed A, Sankara Narayanan A

J. Comput. Aided Mol. Des., December, 2025

2024

Active Learning for Discrete Latent Variable Models.

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

Neural Comput., March, 2024

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

Aditi Jha, Diksha Gupta, Carlos D. Brody, Jonathan W. Pillow

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi Task Learning for Predicting Music Video Clip and Participant Identification from Brain Responses.

Jhanvi H. Mehta, Muskan Priyadarshani, Aditi Jha, Krishna P. Miyapuram

Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), 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 P. 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