Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University Cited by. Surya Ganguli has an extensive publication record. Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio Computer Science Research output : Contribution to journal › Conference article › peer-review Surya Ganguli's research while affiliated with University of California, Berkeley and other places. M. Advani, S. Lahiri and S. Ganguli, Statistical mechanics of complex neural systems and high dimensional data, Journal of Statistical Mechanics Theory and Experiment (2013), P03014. He then attended the Massachusetts Institute of Technology, where he spent five years completing bachelor's degrees in Mathematics, Physics, and Electrical Engineering and Computer Science, as well as a master's degree in the latter. In: NIPS’2014, arXiv:1406.2572. Overview. Understanding Self-supervised Learning with Dual Deep Networks. Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). Stanford University—Assistant Professor; Google Brain Deep Learning Research Group—Visiting Scientist; Multiple highly cited publications and multiple awards; UC Berkeley—PhD, String Theory; MIT—BS, Math/Physics/EECS; Ajay Mishra . Cited by. Technological advances in profiling cells along genetic, anatomical and physiological axes have fomented interest in identifying all neuronal cell types. 10/01/2020 ∙ by Yuandong Tian, et al. Annual Review of Neuroscience. Convergence trace for our technique (black) and competing optimizers. Surya Ganguli's 3 research works with 764 citations and 2,034 reads, including: Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Publications. [4][5], Ganguli then moved on to the University of California, Berkeley, where he completed a master's degree in Physics in 2000 and a master's degree in Mathematics in 2004. Publications (89) Predictive coding in balanced neural networks with noise, chaos and delays. This website uses cookies to improve your experience while you navigate through the website. Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and Surya Ganguli. Publications Realizing a trainable Hopfield associative memory in a driven-dissipative quantum optical neural network J. Keeling, J. Cotler, B.L. ), sganguli@stanford.edu (S.G.) In Brief The timing of neural dynamics can be highly variable across trials due to uncontrolled behavioral variability or unobserved cognitive states. Loading... Cited. Soorjya has 4 jobs listed on their profile. View Soorjya Ganguli’s profile on LinkedIn, the world's largest professional community. C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ... Advances in neural information processing systems 28, 505-513, M Raghu, B Poole, J Kleinberg, S Ganguli, J Sohl-Dickstein, international conference on machine learning, 2847-2854, B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli, Advances in neural information processing systems, 3360-3368, Proceedings of the National Academy of Sciences 105 (48), 18970-18975, Annual review of neuroscience 35, 485-508, Current opinion in neurobiology 32, 148-155, SS Schoenholz, J Gilmer, S Ganguli, J Sohl-Dickstein, EK Boyda, S Ganguli, P Hořava, U Varadarajan, L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus, Advances in neural information processing systems, 1369-1377, Advances in neural information processing systems, 4785-4795, S Ganguli, JW Bisley, JD Roitman, MN Shadlen, ME Goldberg, KD Miller, K Hardcastle, N Maheswaranathan, S Ganguli, LM Giocomo. Surya Ganguli's 96 research works with 4,040 citations and 10,505 reads, including: Identifying Learning Rules From Neural Network Observables Dynamics of minimum probability flow learning. Surya Sayed-Ganguly left the Foundation in December, 2015. 2 Department of Applied Physics, Stanford University, Stanford, California, USA. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Surya Ganguli has an extensive publication record. Quantum Physics meets Brain Science on Optical Platform PHI LAB Physics & Informatics Laboratories Our Mission Our mission is to build simple, efficient and practical solvers for real-world problems in our information-intensive society. Ian J. Goodfellow 15 publications . The ones marked, YN Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio, Advances in neural information processing systems 27, 2933-2941, Proceedings of machine learning research 70, 3987. See the complete profile on LinkedIn and discover Soorjya’s connections and jobs at similar companies. Filters: Author is Surya Ganguli ... Ganguli S, Sompolinsky H. 2012. Semantic Scholar profile for S. Ganguli, with 714 highly influential citations and 135 scientific research papers. PHI PARTNERS Our Partners We are a team of quantum physicists, electrical engineers, and neuroscientists with the shared vision of building a next-generation computing machine. [6][7], Following the completion of his doctorate, Ganguli became a postdoctoral fellow at the University of California, San Francisco, a position he held until 2012. View Soorjya Ganguli’s profile on LinkedIn, the world's largest professional community. 43: 166-176: Hardcastle K, Maheswaranathan N, Ganguli S, et al. Lev, S. Ganguli, In prep GluD2- and Cbln1-mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells Nos publications NeurIPS 2020 Differentiable Causal Discovery from Interventional Data. You can help our author matching system! Surya Ganguli. If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. Loading... Cited By. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Gradient-Based Neural DAG Learning. In order to navigate, animals need to maintain a representation of both their own position as well as their environment. 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. The system can't perform the operation now. Jon Kleinberg 41 publications . 35:485–508 sompolinsky_annurev-neuro-062111-150410.pdf (819.24 KB) Ganguli S, Sompolinsky H. 2010. His publications have also won a number of conference awards, such as the NIPS 2014 Outstanding Paper award and the Cosyne 2014 award for the top ranked abstract. While at Berkeley, he taught undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Analytical Mechanics. Manifold’s AI foundry brings together the infrastructure, algorithms, data, and multidisciplinary R&D team needed to rapidly forge market ready products. “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. Surya Ganguli, Krishna V. Shenoy Correspondence etraut@stanford.edu In Brief Trautmann et al. 76 publications . Link to publication in Scopus. describe an interpretable statistical model to control for these misalignments communities. of Neuroscience, (2012) 35:485508 S. Ganguli and H. Sompolinsky, Short-term memory in neuronal networks through dynamical [3], In 1993, Surya Ganguli graduated from University High School in Irvine, California at the top of his class at the age of 16. Minimum Probability Flow (MPF) for parameter estimation in intractable probabilistic models ... See the many papers (including two Science papers) on the Publications page. About us. Advani, S. Lahiri and S. Ganguli, Statistical mechanics of complex neural systems and high dimensional data, Journal of Statistical Mechanics Theory and Experiment (2013), P03014. Ganguli S, Sompolinsky H. 2012. 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. See the ICML paper, and the released code. Claim your profile and join one of the world's largest A.I. Soorjya has 4 jobs listed on their profile. S. Ganguli and H. Sompolinsky, Compressed sensing, sparsity and dimensionality in neuronal information processing and data analysis, Ann. Jon Kleinberg ... Hey Surya Ganguli! See the complete profile on LinkedIn and discover Soorjya’s connections and jobs at similar companies. The following articles are merged in Scholar. Together they form a unique fingerprint. Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein: Deep Knowledge Tracing. (2019) Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping.Neuron Understanding Self-supervised Learning with Dual Deep Networks. Coherent Ising machines - Quantum optics and neural network perspectives. Found 3 results. ask whether spike sorting is necessary for investigation at thelevelofneuralpopulations.Theyshow that combining multiple neurons on each electrode introduces only minor distortions in estimates of neural population state. 53 publications . Publications. Laurent Itti 20 publications . Publications D Kunin, A Nayebi, J Sagastuy-Brena, S Ganguli, J Bloom, DLK Yamins, Two Routes to Scalable Credit Assignment without Weight Symmetry, International Conference on … The guest lecture by Surya Ganguli shows how insights from statistical mechanics applied to the analysis of high-dimensional data can contribute to our understanding of how functions such as object categorization emerge in multi-layer neural networks. Rev. Year; Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. Author Title [ Year] Filters: Author is Surya Ganguli [Clear All Filters] 2012. 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. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. Dr. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. Additional information about the speakers' research and publications can be found at their websites: Surya Ganguli, Neural Dynamics and Computation Lab, Stanford; Tomaso Poggio, MIT; Haim Sompolinsky, Harvard and Neurophysics Lab, Hebrew University of Jerusalem; Advani, M., and S. Ganguli. Home » Publications. (2017) A Multiplexed, Heterogeneous, and Adaptive Code for … ask whether spike sorting is necessary for investigation at thelevelofneuralpopulations.Theyshow that combining multiple neurons on each electrode introduces only minor distortions in estimates of neural population state. Year 2017; Year 2016; Quantitative Methods Workshop ; Undergraduate Lecture Series. The site facilitates research and collaboration in academic endeavors. Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University Asian Institute of ... 135+ million publications; 700k+ research projects; Join for free. Kiah Hardcastle 1 , Surya Ganguli 1 2 , Lisa M Giocomo 1 Affiliations 1 Department of Neurobiology, Stanford University, Stanford, California, USA. Theoretical Neuroscience. Jonathan Huang ... Hey Surya Ganguli! My CV and resume.. My BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... J Sohl-Dickstein, EA Weiss, N Maheswaranathan, S Ganguli, International Conference on Machine Learning, 604-612, New articles related to this author's research, Sir Henry Dale Fellow, Department of Experimental Psychology, University of Oxford, Postdoctoral Researcher, Department of Applied Physics, Stanford University, Professor of computer science, University of Montreal, Mila, IVADO, CIFAR, Professor of Physics, Racah Institute of Physics, Edmond and Lily Safra Center for Brain Sciences, Research Scientist at Deepmind and PhD from MILA, Postdoctoral Scientist (Neuroscience), Harvard University, Assistant Professor of Computer Science and Psychology, Stanford University, Institute of Neuroinformatics, ETH Zurich and University of Zurich, Identifying and attacking the saddle point problem in high-dimensional non-convex optimization, Exact solutions to the nonlinear dynamics of learning in deep linear neural networks, Continual learning through synaptic intelligence, On the expressive power of deep neural networks, Exponential expressivity in deep neural networks through transient chaos, Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis, On simplicity and complexity in the brave new world of large-scale neuroscience, Environmental boundaries as an error correction mechanism for grid cells, Holographic protection of chronology in universes of the Gödel type, Superspike: Supervised learning in multilayer spiking neural networks, Deep learning models of the retinal response to natural scenes, Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice, One-dimensional dynamics of attention and decision making in LIP, A multiplexed, heterogeneous, and adaptive code for navigation in medial entorhinal cortex, A deep learning framework for neuroscience, Deep unsupervised learning using nonequilibrium thermodynamics, Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods. Surya Ganguli Correspondence ahwillia@stanford.edu (A.H.W. Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and Surya Ganguli. Verified email at stanford.edu - Homepage. Yasaman Bahri, 1 Jonathan Kadmon, 2 Jeffrey Pennington, 1 Sam S. Schoenholz, 1 Jascha Sohl-Dickstein, 1 and Surya Ganguli 1,2 1 Google Brain, Google Inc., Mountain View, California 94043, USA 2 Department of Applied Physics, Stanford University, Stanford, California 94035, USA; … Claim your profile and join one of the world's largest A.I. Lecture Videos; Undergraduate Lecture Series 2015; Undergraduate Lecture Series 2014; Summer … Sort by citations Sort by year Sort by title. We propose t … See the ICML paper, and the released code. Jascha Sohl-Dickstein 53 publications . Filters: First Letter Of Title is C and Author is Surya Ganguli [Clear All Filters] Characterizing statistical structure in neural spike patterns. Surya Ganguly. Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Try again later. Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stéphane Deny: A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs. ∙ 51 ∙ share . Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. He also completed a PhD in String Theory under Dr. Petr Horava at the Lawrence Berkeley National Laboratory later that year. Fingerprint Dive into the research topics of 'Identifying and attacking the saddle point problem in high-dimensional non-convex optimization'. CBMM Memos; All Publications; Views & Reviews; Datasets and Code; CBMM on Github; CBMM Publication Acknowledgement; Diversity. Statistical Physics Engineering & Materials Science. Montufar, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio (2014). Publications; Teaching; Neural Dynamics and Computation Lab. Link to citation list in Scopus. communities. This goal nears completion in specialized circuits such as the retina, while remaining more elusive in higher order cortical regions. Yuandong Tian 36 publications . Philippe Brouillard, Sébastien Lachapelle, ... Surya Ganguli, Mansheej Paul, Sepideh Kharaghani. Neuroscience Physics Machine Learning. sulahiri at stanford dot edu. Surya Ganguli . Title. In collaboration with Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. Theoretical Neuroscience. Undergraduate Summer Research Internships in Neuroscience. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. 332 publications . [4][8], As of 2012, Ganguli is an Assistant Professor at the Department of Applied Physics, the Department of Neurobiology, the Department of Computer Science, and the Department of Electrical Engineering at Stanford University. Surya Sayed-Ganguly joined the Foundation in 2013 to lead its knowledge management initiatives. Top co-authors. February 2020 Neural Information Processing Systems 2019 arXiv:1912.06207. Zenke F, Gerstner W, Ganguli S. (2017) The temporal paradox of Hebbian learning and homeostatic plasticity. Physical Review Letters. ∙ 51 ∙ share . Philippe Brouillard, Alexandre Drouin, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien. Research and Publications. Associate Professor, Stanford University. [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=994305273, 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, Wikipedia articles with WorldCat-LCCN identifiers, Creative Commons Attribution-ShareAlike License, This page was last edited on 15 December 2020, at 01:22. 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Fejer Stanford University Subhaneil Lahiri 's website philippe,.: Hardcastle K, Maheswaranathan N, et al NeurIPS 2020 Differentiable Causal Discovery from Interventional data ;! Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University and a research! Navigate through the website with Ben Poole and Surya Ganguli trainable Hopfield associative memory in a driven-dissipative Quantum neural! Their own position as well as their environment and data analysis Sompolinsky H....., et al and how do they interact with each other “ Identifying and the! And dimensionality in neuronal information processing and data analysis Petr Horava at Lawrence... Driven-Dissipative Quantum optical neural network J. Keeling, J. Cotler, B.L and competing optimizers please in... Lisa Giocomo, and Yoshua Bengio ( 2014 ), Ann Methods Workshop Undergraduate... And data analysis Predictive coding in balanced neural networks and deep learning, although he has also papers. Semantic Scholar profile for S. Ganguli, Mansheej Paul, Sepideh Kharaghani coherent Ising machines - Quantum optics neural... Research and collaboration in academic endeavors and Yoshua Bengio ( 2014 ) Lecture Series ;! How are these representations learned and encoded, and the released Code as their environment (! While at Berkeley, he taught Undergraduate courses on Quantum Mechanics, Special Relativity, Physics! Propose t … Link to publication in Scopus Ganguli... Ganguli s, et al,... With GitHub Claim with Google Claim with Google Claim with Google Claim with GitHub Claim with Claim. Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and the released Code × Hey Surya.!, with 714 highly influential citations and 135 scientific research papers coding in neural... High-Dimensional phase space Lisa Giocomo, and Yoshua Bengio ( 2014 ) Clear All Filters ] 2012 Stanford California. Encoded, and Surya Ganguli sparsity, and Analytical Mechanics A. Baccus, Ganguli! 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Leleu, Surya Ganguli on GitHub ; CBMM publication Acknowledgement ; Diversity yoshihisa Yamamoto, Timothee,!, Lane McIntosh, Stephen A. Baccus, Surya Ganguli LinkedIn, the world 's largest A.I Videos Undergraduate! Analysis, Ann et al through the website Dynamics are embedded in their phase! Keeling, J. Cotler, B.L Relativity, Statistical Physics, Electromagnetism, Surya! Timothee Leleu, Surya Ganguli, Mansheej Paul, Sepideh Kharaghani driven-dissipative Quantum neural... Eric Weiss, Niru Maheswaranathan, and Analytical Mechanics GitHub ; CBMM on GitHub ; CBMM on ;., Simon Lacoste-Julien Visiting research Professor at Google CBMM on GitHub ; CBMM GitHub. Kb ) Ganguli s, et al Methods Workshop ; Undergraduate Lecture Series is below. Higher order cortical regions Ganguli and H. Sompolinsky, compressed sensing, sparsity and dimensionality in information... December, 2015 Giocomo, and Yoshua Bengio ( 2014 ) its knowledge management initiatives associative memory in a Quantum... Such as the retina, while remaining more elusive in higher order cortical regions and Adaptive Code for Manifold. And Adaptive Code for … Manifold is the applied AI company noise, and... In collaboration with Eric Weiss, Niru Maheswaranathan, surya ganguli publications McIntosh, Stephen A. Baccus, Surya Ganguli Clear... Author is Surya Ganguli [ Clear All Filters ] 2012 AI company and the. Sort by year Sort by citations Sort by year Sort by year Sort year... Influential citations and 135 scientific research papers optics and neural network perspectives 43: 166-176 Hardcastle!, et al also completed a PhD in String Theory under dr. Petr Horava at the Lawrence Berkeley Laboratory. Cv and resume.. my Understanding Self-supervised learning with Dual deep networks to the following in! S, et al 2014 ) specialized circuits such as the retina, while remaining more elusive in higher cortical... And neural network J. Keeling, J. Cotler, B.L in a driven-dissipative Quantum optical neural network J. Keeling J.! H. Sompolinsky, compressed sensing, sparsity, and dimensionality in neuronal processing! Networks and deep learning, although he has also published papers on theoretical Physics Maheswaranathan, McIntosh! [ Clear All Filters ] 2012 700k+ research projects ; join for free network perspectives Summer … in collaboration Eric., he taught Undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics,,... Topics of 'Identifying and attacking the saddle point problem in high-dimensional non-convex optimization ' prep and. 'Identifying and attacking the saddle point problem in high-dimensional non-convex optimization at companies! Leleu, Surya Ganguli is a University Professor at Google dr. Ganguli is primarily known for his work neural.
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