Vin Agarwal
@vin_agarwal
A Mohan Veena player and a grad student studying auditory perception | MIT | IITB
ID: 1161710784986009600
14-08-2019 18:46:49
183 Tweet
278 Followers
262 Following
Thank you McGovern Institute, Patrick McGovern and MIT Brain and Cognitive Sciences for all the support through the years!!! Thanks to my family featured in this photo: Vin Agarwal for always being by my side, and especially Dhruv Sharma, Shivam and Soumya for coming all the way from Canada to attend!
Hatsoff to Sugandha Sharma @ CVPR 2025 and other authors at FieteGroup for their seminal work on understanding how seemingly independent functions can emerge out of a better theoretical and computational model of the hippocampal complex.
Pleased to announce a new paper from our lab by Maddie Cusimano, with contributions from Luke 🐝 Hewitt. It shows that a generative model of auditory scenes can account for human perception of auditory illusions as well as natural scenes. (1/n) sciencedirect.com/science/articl…
New paper from our lab, by Jarrod Hicks. Shows that people use the statistical properties of background noise to hear concurrent “foreground” sounds. Read on for highlights (1). pnas.org/doi/10.1073/pn… MIT Science MIT Brain and Cognitive Sciences McGovern Institute CBMM
How does one brain circuit encode memories of both places and events? 🧠 The answer is out in Nature today! (proud to have lead this work as a Co-First author FieteGroup ) 🔗 nature.com/articles/s4158… Talk: youtube.com/watch?v=P4kHqk… This work extends MESH: proceedings.mlr.press/v162/sharma22b
I think Elon Musk once said something like, 'The most ridiculous outcome is often the most likely.' I saw that in action today. My collaborator Vin Agarwal presented results on our QuantaQuill project at Biostate AI — a bioinformatics co-pilot that writes academic papers from
Nice work! Has some similar capabilities to what we at Biostate AI have with CoPilot and QuantaQuill.
You’ve heard of vibe coding—now meet #VibeResearch. Watch Vin Agarwal turn a plain-language chat into a journal-ready manuscript with Quantaquill.ai