Gautam K. Vallabha

12 papers Misc 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems.
CoRR
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 Dimitri 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
2023 J jnl
A domain-agnostic approach for characterization of lifelong learning systems.
Neural Networks
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
2023 — conf
Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center.
ICONS
Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson
2023 J jnl
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.
CoRR
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
2022 J jnl
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment.
CoRR
Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha
2022 J jnl
Latent Properties of Lifelong Learning Systems.
CoRR
Corban G. Rivera, Chace Ashcraft, Alexander New, James Schmidt, Gautam K. Vallabha
2022 J jnl
Lifelong Learning Metrics.
CoRR
Alexander New, Megan M. Baker, Eric Q. Nguyen, Gautam K. Vallabha
2021 J jnl
Meta Arcade: A Configurable Environment Suite for Meta-Learning.
CoRR
Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam K. Vallabha, Christopher Ratto, Kapil D. Katyal
2011 — ch.
Nonlinear Dynamics in Speech Perception.
Nonlinear Dynamics in Human Behavior
Betty Tuller, Noël Nguyen, Leonardo Lancia, Gautam K. Vallabha
2009 J jnl
Modeling Unsupervised Perceptual Category Learning.
IEEE Trans. Auton. Ment. Dev.
Brenden M. Lake, Gautam K. Vallabha, James L. McClelland
2007 Misc conf
Network Analysis of Toxic Chemicals and Symptoms: Implications for Designing First-Responder Systems.
AMIA
Suresh K. Bhavnani, Annie Abraham, Christopher Demeniuk, Meseret Gebrekristos, Abe Gong, Satyendra Nainwal, Gautam K. Vallabha, Rudy J. Richardson
2002 J jnl
Systematic errors in the formant analysis of steady-state vowels.
Speech Commun.
Gautam K. Vallabha, Betty Tuller