Gautam K. Vallabha

According to our database, Gautam K. Vallabha authored at least 11 papers between 2002 and 2023.

Collaborative distances:

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

2023

A domain-agnostic approach for characterization of lifelong learning systems.

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.

Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann

CoRR, 2023

Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center.

Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Latent Properties of Lifelong Learning Systems.

Corban G. Rivera, Chace Ashcraft, Alexander New, James Schmidt, Gautam K. Vallabha

CoRR, 2022

L2Explorer: A Lifelong Reinforcement Learning Assessment Environment.

Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha

CoRR, 2022

Lifelong Learning Metrics.

Alexander New, Megan M. Baker, Eric Q. Nguyen, Gautam K. Vallabha

CoRR, 2022

2021

Meta Arcade: A Configurable Environment Suite for Meta-Learning.

Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam K. Vallabha, Christopher Ratto, Kapil D. Katyal

CoRR, 2021

2011

Nonlinear Dynamics in Speech Perception.

Betty Tuller, Noël Nguyen, Leonardo Lancia, Gautam K. Vallabha

Proceedings of the Nonlinear Dynamics in Human Behavior, 2011

2009

Modeling Unsupervised Perceptual Category Learning.

Brenden M. Lake, Gautam K. Vallabha, James L. McClelland

IEEE Trans. Auton. Ment. Dev., 2009

2007

Network Analysis of Toxic Chemicals and Symptoms: Implications for Designing First-Responder Systems.

Suresh K. Bhavnani, Annie Abraham, Christopher Demeniuk, Meseret Gebrekristos, Abe Gong, Satyendra Nainwal, Gautam K. Vallabha, Rudy J. Richardson

Proceedings of the AMIA 2007, 2007

2002

Systematic errors in the formant analysis of steady-state vowels.

Gautam K. Vallabha, Betty Tuller

Speech Commun., 2002