He had authored and co-authored a number of papers on theoretical neuroscience prior to this in the late 2000s (collaborating with Haim Sompolinsky, Peter Latham, and Ken Miller in the process) and further taught a course on advanced theoretical neuroscience with Larry Abbott, Stefano Fusi, and Ken Miller in 2008, but it was at this point that Ganguli formally transitioned into theoretical neuroscience, assuming the position at the Sloan-Swartz Center for Theoretical Neurobiology. - Advisers: Dr. Alex Williams, Prof. Scott Linderman, and Prof. Surya Ganguli - Undergraduate research for credit. [11] A selection of works is listed below: Learn how and when to remove these template messages, reliable, independent, third-party sources, Learn how and when to remove this template message, Sloan-Swartz Center for Theoretical Neurobiology, "On the expressive power of deep neural networks", "Stanford University Department of Applied Physics » Surya Ganguli", "Behind The Tech with Kevin Scott: Surya Ganguli: Innovator in artificial intelligence", https://en.wikipedia.org/w/index.php?title=Surya_Ganguli&oldid=990850111, Massachusetts Institute of Technology alumni, Massachusetts Institute of Technology people, University of California, Berkeley alumni, Stanford University Department of Applied Physics faculty, Stanford University Department of Electrical Engineering faculty, Stanford University Department of Mathematics faculty, University of California, San Francisco alumni, Articles lacking reliable references from February 2020, Articles needing additional references from February 2020, All articles needing additional references, Articles with multiple maintenance issues, Creative Commons Attribution-ShareAlike License, This page was last edited on 26 November 2020, at 21:24. Computational and Systems Neuroscience. Currently US citizen. BRIAN A. HARGREAVES (650) 724-3022 bah@stanford.edu Education June 2001 – Ph.D. in Electrical Engineering at Stanford University, Stanford, California. [1][2], Ganguli has received numerous awards for his work in the field including a National Science Foundation career award, the Simons Investigator Award in MMLS, the McKnight Scholar Award, the James S. McDonnell Foundation Scholar Award in Human Cognition, an Alfred P. Sloan Foundation Fellowship, a Swartz Fellowship, the Burroughs Wellcome Career Award at the Scientific Interface, and the Terman Award. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. My research focuses on understanding general principles underlying sensory processing, in particular using tools from deep learning and information theory. %���� Runner up best paper. >> 2020 [20] RNNs can generate bounded hierarchical languages with optimal memory (John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning), In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020. UC Berkeley, B.A. Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension Yuandong Tian ICML 2020: Luck Matters: Understanding Training Dynamics of Deep ReLU Networks [Workshop Poster] Yuandong Tian, Tina … Fall 2007 - Spring 2011 – Advisor: Prof. Tai Sing Lee (��k�嶡YN@�:��s��!.U��)���Ԕ3������}W�W%�@L�N�_�~��C�muUS Despite the linearity of their input … M.A. EMNLP 2019 (long papers). Only upload a photograph of yourself; Photos of children, celebrities, pets, or illustrated cartoon characters will not be approved; Photos containing nudity, gore, or hateful themes are not permissible and may lead to the cancellation of your account Research Talks + Panel 1. 2012-Present Stanford University Ph.D. Neuroscience Ph.D. Minor Computer Science Advisors: Steve Baccus and Surya Ganguli NVIDIA Best Poster Award, SCIEN … Surya Ganguli, Associate Professor of Applied Physics, Stanford HAI. Emergent elasticity in the neural code for space . Applied Physics, Stanford University, 2016 M.S. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). Ganguli Lab website. �#���t �$ �����ރ�;����a����/ Event Title Event Date; Yasmin Hurd, Addiction Institute at Mount Sinai & Icahn School of Medicine : Thursday, March 18, 2021 - 12:30pm: In-House Seminar, Princeton University Dr. Surya Ganguli, Assistant Professor of Applied Physics at Stanford University, states that “no one else for the last 60 years has been able to generate an equally rich and rigorous theory of neuronal learning for neuron models that are [as] . While at Berkeley, he taught undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Analytical Mechanics. Github; LinkedIn; Twitter; Kaggle; Timeline. . Applied Physics, Stanford University, 2013 B.S. Stock, S. Lahriri, A. Williams, & S. Ganguli (2017). Mathematics, University of Hawaii. Applied various high dimensional clustering techniques to understand cell x��Xɒ�6��+T9QU���\�Ym��"e�Jr�H��2E� �rȷ��Ԉgq���ai���n��F������|���ڍFn`�A�w#/u�4Ůk;q4Z�?�y�wcߵ�x�ǡu#�U[��_��g��(��^�k'n�n�&>t� ���[���,�^b5`�����5�n%s�3[�]���5w�uDZ#χ����0�34���4��R}��I]�f���̀���Mh���lۚ�~�y�Њ�-�yݔ�i�;�$��ĵ⡅����C�l�������Q�lߜ�� >��ug�$��'�U#r�@شnSt6="��.i���3�X��ad�F�Iޕ��x�u�j�h;�眞�j�?��_ ߹�VZl�*����Kx�����-�|���7a%P������\�Of~!w�����h�����dX� ��)�0��0��^�m&U��ѐ᛭�K��/ֲҲQ�(��=��)?eM�OQ��s��x^�G���� J�g������6� COU�~}���1⇍�g�����^�Yڈ��ܖ(� dЄ�d1�?����>�Fk�Y��\���-��M ��8���q{�ĉ��Ω�f*�T��{-ޫU�}�8f#ϣ��_% �����,��/���p��+,S.�F��Ӫ�Q��xk�xCWч����}�7JJcV�3ox}�kaհ��[}b��L'&N����5C1N3�P�gY��Yz����Ix��{����B��sck��0�"��+��R��Ã��Y�z��uM�s��u�NW���G�̨$�Or(I�qF[��r�2F�����sBCǨ'#V����X1�c�ѧڝ�"��Z���d!�+E2>��NO���R����O�Y� �m,�$�D{e��4F櫖�}6��F�B��+��`V]Kǜ9��5/����\�s�ނ��. Yoshua Bengio is Professor in the Computer Science and Operations Research departments at U. Montreal, founder and scientific director of Mila and of IVADO. endobj Ben PooleB poole@cs.stanford.edu H 443 386 8123 m cs.stanford.edu/~poole. The EOS Decision and Length Extrapolation Ben Newman, John Hewitt, Percy Liang, and Christopher D. Manning. *eM�y�X�٭0^�!7M{(���G�������)�_ka�p�R'h��v�% ����[�Z3�D� A Structual Probe for Finding Syntax in Word Representations. E. DUCATION. Pruning the parameters of deep neural networks has generated intense interest due to potential savings in time, memory and energy both during training and at test time. NAACL 2019 (short … C.H. stream Surya Ganguli is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Education University of California Berkeley Berkeley, CA Ph.D. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu http://ganguli-gang.stanford.edu/~surya.html Biographic Data Born in Kolkata, India. He is also known for being prolific, high demand public speaker and lecturer, having been invited to give over 200 talks at various universities, institutes, workshops, conferences, and symposiums since 2005 alone. Finally, Ganguli has won a number of awards unrelated to his academic publications, such as the Berkeley Outstanding Graduate Instructor award and the National Council of Teachers of English Award in Writing. �yVU�"J� �;Z��_T){���sz���"oE���?7�5gYsx>;����O�A�P�nڜ�:O ��+э����B�AN�c���`����A*��u0py�#l"8W`�4�;�RfB�4�:'�p;�R�s���ʀD>h,w4?éU�Y�`��ũo�%�r=��T��q:�^;���6�Q�fq�T����}���@/)�l�k �\q�H�L*h܄.3$M�8!��;�5d: �AM9��~u]����*� ��؎��$o���&WK�*y�z���#Ϥ�����p($y�� D����-��@�6-Mj�%�qa���v-H�@{׵�M��Y?ɢa�4~U(���^HP*�9���%����'����Q��I��B�i���#�Q̸��E��:����-�C0�5V|ݲ��r�&[���(QN��@����`Kl�n�k,D�0h���H! Mathematics, Physics, UC Berkeley, May 2014 Highest honors in mathematics, high distinction in general scholarship. GPA: 3.9/4.0. John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, and Christopher D. Manning. Education University of California Berkeley Berkeley, CA Ph.D. University of Mons, Low-Rank Matrix Approximation Group 2019 - Adviser: Prof. Nicolas Gillis - Visiting student researcher. 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