Rahul Singh Maharjan
rahullabs
Uncomfortably Driven by Questions of Uncertainty and Randomness.
Pale Blue Dot
Shervin Safavi
shervinsafavi
natural science, neuroscience, physics, empirical approach, searching for principles, integration, interdisciplinary
Max Planck Institute for Biological Cybernetics Tübingen, Germany
Emanuele Ballarin
emaballarin
PhD student in (neuro-inspired) Deep Learning. Also: robust / trustworthy / Bayesian DL, kernel methods, computational neuroscience. Overenthusiastic tinkerer.
Dept. of Maths, UniTS | @LACoNIC-UniTS ⊆ @ailab-units | @sissa-data-science | @AI-Student-Society Trieste, Italy
SixuanChen
Cognitive Neuroscience 🧠I hope to figure out the learning rules that enable animals to do transfer learning and continue learning across varied domains.
Vipul Sharma
vipulSharma18
ScM CS student at Brown University. Interested in compositionality & abstraction. Learning dynamics, memory formation, and perception of time in humans and AI.
Brown University Providence, RI
Promit Moitra
promitmoitra
Computational cognitive neuroscience | Complex systems. Present - Decision Lab, BSBE, IIT K.
Past: Ph.D. - IISER Mohali. Postdoc - IPR, Gandhinagar
Indian Institute of Technology, Kanpur India
Jaehoon Kim
jaehoonkimm
Ph.D. Student in Artificial Intelligence
Hanyang University Seoul, South Korea
TonyLovesCode
TonyFPY
M.Sc. in CS @ Brown University 🇺🇸 | B.Sc in AI @ University of Nottingham 🇬🇧 |
Ex-Intern @ NIO
MEVENGUE FRANCK
MEVENGUE
Ingénieur | Science | Code | Computer Vision | Machine Learning | Deep Learning | Football
ECAM-EPMI FRANCE , PARIS
Jay Gopal
JayRGopal
Computer Science & Neuroscience at Brown University. Experienced in software engineering and deep learning. Researching computer vision and explainable AI.
Scott Warren
scott-warren
Neurology Research Fellow at Brown University in Providence, Rhode Island
Brown University