Sugandha Sharma

13 papers A* 3B 3Journal 5Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription. CoRR Sumit Ranjan, Sugandha Sharma, Ubaid Abbas, Puneeth N. Ail
2024	A*	`conf`	Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals. NeurIPS Abhiram Iyer, Sarthak Chandra, Sugandha Sharma, Ila Fiete
2024	J	`jnl`	Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
2023	—	`conf`	Automated Classification of Animal Vocalization into Estrus and Non-Estrus Condition using AI Techniques. OCIT Sugandha Sharma, Anamika Phoga, Virender Kadyan
2022	A*	`conf`	Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold. ICML Sugandha Sharma, Sarthak Chandra, Ila R. Fiete
2022	J	`jnl`	Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold. CoRR Sugandha Sharma, Sarthak Chandra, Ila R. Fiete
2022	B	`conf`	Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations. CogSci Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete
2022	A*	`conf`	Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. ICLR Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete
2021	J	`jnl`	Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. CoRR Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete
2021	J	`jnl`	Prediction of COVID-19 epidemic curve of India using supervised learning approach. Int. J. Comput. Appl. Technol. Shweta Mongia, Sugandha Sharma, Jaisankar Natarajan, Manoj Kumar, Vasudha Arora, Thompson Stephan, Achyut Shankar, Pragya Gupta, Raghav Kachhawaha
2017	B	`conf`	A Spiking Neural Bayesian Model of Life Span Inference. CogSci Sugandha Sharma, Aaron Voelker, Chris Eliasmith
2016	B	`conf`	A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex. CogSci Sugandha Sharma, Brent Komer, Terrence C. Stewart, Chris Eliasmith
2016	—	`conf`	How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System? ICANN (1) Sugandha Sharma, Bryan P. Tripp