Ritik Raina

202320243 3

Virginia de SaProfessor of Cognitive Science, Associate Director of the Halicioglu Data Science Institute, UCSDVerified email at ucsd.edu
Vijay VeerabadranPh.D. candidate @ UCSD Cognitive ScienceVerified email at ucsd.edu
Yuan TangGraduate Student, Harvard UniversityVerified email at g.harvard.edu
Miguel MonaresUCSDVerified email at ucsd.edu
Xiaojing XuUniversity of California, San DiegoVerified email at ucsd.edu
Sarah FabiMercedes-Benz AGVerified email at uni-tuebingen.de
Srinivas RavishankarUC San DiegoVerified email at ucsd.edu

Ritik Raina

Verified email at stonybrook.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bio-inspired learnable divisive normalization for ANNs V Veerabadran, R Raina, VR de Sa SVRHM 2021 Workshop@ NeurIPS, 2021	4	2021
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels V Veerabadran, S Ravishankar, Y Tang, R Raina, V de Sa Advances in Neural Information Processing Systems 36, 2024	2	2024
Cortically motivated recurrence enables visual task extrapolation V Veerabadran, Y Tang, R Raina, V de Sa Journal of Vision 23 (9), 4684-4684, 2023		2023
Analyzing Biases in AU Activation Estimation Toward Fairer Facial Expression Recognition M Monares, Y Tang, R Raina, VR de Sa		2023
Bio-inspired divisive normalization improves object recognition performance in ANNs V Veerabadran, R Raina, V De Sa Journal of Vision 22 (14), 3592-3592, 2022		2022
Exploring Biases in Facial Expression Analysis using Synthetic Faces R Raina, M Monares, M Xu, S Fabi, X Xu, L Li, W Sumerfield, J Gan, ... NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022		2022
Cortically motivated recurrence enables task extrapolation V Veerabadran, Y Tang, R Raina, VR de Sa		2022

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