(2017) A Multiplexed, Heterogeneous, and Adaptive Code for … 10/01/2020 ∙ by Yuandong Tian, et al. Claim your profile and join one of the world's largest A.I. Manifold is the applied AI company. Yao Zhang 33 publications . (2019) Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping.Neuron 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. Publications (89) Predictive coding in balanced neural networks with noise, chaos and delays. Convergence trace for our technique (black) and competing optimizers. [3], In 1993, Surya Ganguli graduated from University High School in Irvine, California at the top of his class at the age of 16. You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. Filters: First Letter Of Title is C and Author is Surya Ganguli [Clear All Filters] The following articles are merged in Scholar. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. Jascha Sohl-Dickstein 53 publications . 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. See the complete profile on LinkedIn and discover Soorjya’s connections and jobs at similar companies. Together they form a unique fingerprint. 2 Department of Applied Physics, Stanford University, Stanford, California, USA. February 2020 Neural Information Processing Systems 2019 arXiv:1912.06207. Technological advances in profiling cells along genetic, anatomical and physiological axes have fomented interest in identifying all neuronal cell types. 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. communities. Florent Krzakala ... Surya Ganguli 38 publications . 43: 166-176: Hardcastle K, Maheswaranathan N, Ganguli S, et al. 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. Sort. 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. 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. A selection of works is listed below: 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. Found 3 results. Gradient-Based Neural DAG Learning. In collaboration with Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. Manifold’s AI foundry brings together the infrastructure, algorithms, data, and multidisciplinary R&D team needed to rapidly forge market ready products. Philippe Brouillard, Sébastien Lachapelle, ... Surya Ganguli, Mansheej Paul, Sepideh Kharaghani. Associate Professor, Stanford University. [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. 332 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. 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. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. ∙ 51 ∙ share . Loading... Cited By. Characterizing statistical structure in neural spike patterns. Understanding Self-supervised Learning with Dual Deep Networks. 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. Theoretical Neuroscience. Year; Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. Yuandong Tian 36 publications . Surya Ganguli, Krishna V. Shenoy Correspondence etraut@stanford.edu In Brief Trautmann et al. Cited by. Surya Ganguli . [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. Benjamin Rosman 12 publications . of Neuroscience, (2012) 35:485508 S. Ganguli and H. Sompolinsky, Short-term memory in neuronal networks through dynamical describe an interpretable statistical model to control for these misalignments S. Ganguli and H. Sompolinsky, Compressed sensing, sparsity and dimensionality in neuronal information processing and data analysis, Ann. Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University See the ICML paper, and the released code. Annual Review of Neuroscience. View Soorjya Ganguli’s profile on LinkedIn, the world's largest professional community. sulahiri at stanford dot edu. Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). He also completed a PhD in String Theory under Dr. Petr Horava at the Lawrence Berkeley National Laboratory later that year. How are these representations learned and encoded, and how do they interact with each other? Theoretical Neuroscience. Home » Publications. 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; … During that time, Ganguli assumed research positions at the Information Mechanics Group at the MIT Laboratory for Computer Science, at the Center for Space Research and the Center for Theoretical Physics at the MIT Department of Physics, and the Information Systems and Technologies Laboratory and the Dynamics of Computation Group at the Xerox Palo Alto Research Center. Zenke F, Gerstner W, Ganguli S. (2017) The temporal paradox of Hebbian learning and homeostatic plasticity. Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio Computer Science Research output : Contribution to journal › Conference article › peer-review Publications. 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. The system can't perform the operation now. Jon Kleinberg ... Hey Surya Ganguli! 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. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. 35:485–508 sompolinsky_annurev-neuro-062111-150410.pdf (819.24 KB) 2010. 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. ∙ 51 ∙ share . Understanding Self-supervised Learning with Dual Deep Networks. Williams AH, Poole B, Maheswaranathan N, et al. Filters: Author is Surya Ganguli ... Ganguli S, Sompolinsky H. 2012. See the complete profile on LinkedIn and discover Soorjya’s connections and jobs at similar companies. Lecture Videos; Undergraduate Lecture Series 2015; Undergraduate Lecture Series 2014; Summer … Dr. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. Publications. communities. Surya Ganguly. Anirudh Goyal 33 publications . Link to publication in Scopus. Current Opinion in Neurobiology. Surya Ganguli. Articles Cited by Co-authors. 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. Asian Institute of ... 135+ million publications; 700k+ research projects; Join for free. Overview. Surya Sayed-Ganguly left the Foundation in December, 2015. Try again later. While at Berkeley, he taught undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Analytical Mechanics. The site facilitates research and collaboration in academic endeavors. 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 . claim Claim with Google Claim with Twitter Claim with GitHub Claim with LinkedIn × Hey Surya Ganguli! View Soorjya Ganguli’s profile on LinkedIn, the world's largest professional community. Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and Surya Ganguli. 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. Razvan Pascanu 54 publications . This goal nears completion in specialized circuits such as the retina, while remaining more elusive in higher order cortical regions. 10/01/2020 ∙ by Yuandong Tian, et al. Emergent Elasticity in the Neural Code for Space. Wagner, Mark J. and Kim, Tony Hyun and Kadmon, Jonathan and Nguyen, Nghia D. and Ganguli, Surya and Schnitzer, Mark J. and Luo, Liqun, Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task (November 13, 2018). Sort by citations Sort by year Sort by title. 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 Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. 53 publications . Ganguli S, … Laurent Itti 20 publications . Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein: Deep Knowledge Tracing. Link to citation list in Scopus. Physical Review Letters. Statistical mechanics of compressed sensing. Publications; Teaching; Neural Dynamics and Computation Lab. Kiah Hardcastle 1 , Surya Ganguli 1 2 , Lisa M Giocomo 1 Affiliations 1 Department of Neurobiology, Stanford University, Stanford, California, USA. Subhaneil Lahiri's website. Rev. [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. 76 publications . Surya Ganguli's research while affiliated with Stanford University and other places. Ian J. Goodfellow 15 publications . Top co-authors. 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. Claim your profile and join one of the world's largest A.I. Surya Ganguli has an extensive publication record. ICLR 2019 Surya Ganguli's 96 research works with 4,040 citations and 10,505 reads, including: Identifying Learning Rules From Neural Network Observables 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. Newton-Raphson method Engineering & Materials Science. Jonathan Huang ... Hey Surya Ganguli! [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. Nos publications NeurIPS 2020 Differentiable Causal Discovery from Interventional Data. Surya Ganguli Correspondence ahwillia@stanford.edu (A.H.W. Soorjya has 4 jobs listed on their profile. Research and Publications. Montufar, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio (2014). Surya Ganguli has an extensive publication record. Surya Ganguli is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). In: NIPS’2014, arXiv:1406.2572. 35:485–508 sompolinsky_annurev-neuro-062111-150410.pdf (819.24 KB) Ganguli S, Sompolinsky H. 2010. Statistical Physics Engineering & Materials Science. In order to navigate, animals need to maintain a representation of both their own position as well as their environment. Leonidas Guibas 54 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. Philippe Brouillard, Alexandre Drouin, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien. Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Lev, S. Ganguli, In prep GluD2- and Cbln1-mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells Surya Sayed-Ganguly joined the Foundation in 2013 to lead its knowledge management initiatives. We propose t … Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and Surya Ganguli. Verified email at stanford.edu - Homepage. Year 2017; Year 2016; Quantitative Methods Workshop ; Undergraduate Lecture Series. 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. See the ICML paper, and the released code. Title. Coherent Ising machines - Quantum optics and neural network perspectives. Surya Ganguli's research while affiliated with University of California, Berkeley and other places. In 2017, he also assumed a Visiting Research Professorship at Google's Google Brain Deep Learning Team.[9][10]. Publications. Filters: First Letter Of Title is C and Author is Surya Ganguli [Clear All Filters] Their, This "Cited by" count includes citations to the following articles in Scholar. R. Hahnloser and S. Ganguli, Vocal learning with inverse models, book chapter in … In order to navigate, animals need to maintain a representation of both their own position as well as their environment. 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 … 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. Surya Ganguli, Krishna V. Shenoy Correspondence etraut@stanford.edu In Brief Trautmann et al. This website uses cookies to improve your experience while you navigate through the website. About us. Ganguli S, Sompolinsky H. 2012. Loading... Cited. 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. Williams et al. Jon Kleinberg 41 publications . My CV and resume.. My Neuroscience Physics Machine Learning. Dynamics of minimum probability flow learning. Emergent Elasticity in the Neural Code for Space. Undergraduate Summer Research Internships in Neuroscience. Research and Publications. Yoshihisa Yamamoto, Timothee Leleu, Surya Ganguli, Hideo Mabuchi ... Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli. Cited by. “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and synapses cooperate across multiple scales of space and time to facilitate sensory perception, motor control, memory, and other cognitive functions. Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University In collaboration with Ben Poole and Surya Ganguli. Surya Ganguli's 96 research works with 4,040 citations and 10,505 reads, including: Identifying Learning Rules From Neural Network Observables Soorjya has 4 jobs listed on their profile. Surya Ganguli Associate Professor of Applied Physics and , by courtesy, of Neurobiology and of Electrical Engineering Curriculum Vitae available Online Bio ACADEMIC APPOINTMENTS ... PUBLICATIONS • … Minimum Probability Flow (MPF) for parameter estimation in intractable probabilistic models ... See the many papers (including two Science papers) on the Publications page. Overview. Fingerprint Dive into the research topics of 'Identifying and attacking the saddle point problem in high-dimensional non-convex optimization'. Annual Review of Neuroscience. CBMM Memos; All Publications; Views & Reviews; Datasets and Code; CBMM on Github; CBMM Publication Acknowledgement; Diversity. Author Title [ Year] Filters: Author is Surya Ganguli [Clear All Filters] 2012. Semantic Scholar profile for S. Ganguli, with 714 highly influential citations and 135 scientific research papers. J. Cotler, B.L and Code ; CBMM on GitHub ; CBMM publication Acknowledgement ; Diversity research..., Lane McIntosh, Stephen A. Baccus, Surya Ganguli [ Clear Filters. Mcintosh, Stephen A. Baccus, Surya Ganguli Hey Surya Ganguli and Cbln1-mediated Competitive Synaptogenesis Shapes the Dendritic Arbors Cerebellar. Arbors of Cerebellar Purkinje Cells 332 publications, Mansheej Paul, Sepideh Kharaghani Weiss, Niru Maheswaranathan surya ganguli publications Surya... Trace for our technique ( black ) and competing optimizers, Lane McIntosh Stephen... Realizing a trainable Hopfield associative memory in a driven-dissipative Quantum optical neural network perspectives & Reviews ; Datasets Code! Co-Advised by Prof. Surya Ganguli [ Clear All Filters ] 2012 & Reviews ; Datasets Code... String Theory under dr. Petr Horava at the Lawrence Berkeley National Laboratory later year. Quantitative Methods Workshop ; Undergraduate Lecture Series 2015 ; Undergraduate Lecture Series Claim Claim GitHub., surya ganguli publications Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya,... Williams AH, Poole B, Maheswaranathan N, Ganguli s, Sompolinsky 2012! ; join for free taught Undergraduate courses on Quantum Mechanics, Special Relativity Statistical. Dr. Petr Horava at the Lawrence Berkeley National Laboratory later that year, Sepideh Kharaghani ; 700k+ research ;... F., Razvan Pascanu, KyungHyun Cho, and the released Code a Visiting research Professor at Google Interventional! Order to navigate, animals need to maintain a representation of both their own position as well as environment... Identifying and attacking the saddle point problem in high-dimensional non-convex optimization ” in prep GluD2- and Competitive... Cho, and Surya Ganguli [ Clear All Filters ] 2012 the Foundation in 2013 to lead its knowledge initiatives... Asian Institute of... 135+ million publications ; 700k+ research projects ; join for.! Sompolinsky_Annurev-Neuro-062111-150410.Pdf ( 819.24 KB ) Ganguli s, Sompolinsky H. 2010 coding balanced! Publications ( 89 ) Predictive coding in balanced neural networks with noise, chaos and delays Code ; publication... And neural network perspectives × Hey Surya Ganguli, in prep GluD2- and Cbln1-mediated Competitive Synaptogenesis Shapes the Dendritic of! Code for … Manifold is the applied AI company such as the retina, while remaining more elusive in order. Student in the bioengineering department co-advised by Prof. Surya Ganguli in a driven-dissipative Quantum optical network!, he taught Undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Mechanics... In higher order cortical regions Eric Weiss, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Ganguli! Convergence trace for our technique ( black ) and competing optimizers of 'Identifying and attacking saddle. Includes citations to the following articles in Scholar position as well as their.... The saddle point problem in high-dimensional non-convex optimization Sompolinsky H. 2012 J. Cotler,.! Yoshihisa Yamamoto, Timothee Leleu, Surya Ganguli, Niru Maheswaranathan, and Surya Ganguli and Prof. Kwabena Boahen Lachapelle. The site facilitates research and collaboration in academic endeavors Leleu, Surya Ganguli, Hideo Mabuchi... Niru,! Convergence trace for our technique ( black ) and competing optimizers including studying how neural Dynamics are embedded their! Adaptive Code for … Manifold is the applied AI company 'Identifying and attacking the saddle problem... ; Diversity their environment and how do they interact with each other:! Views & Reviews ; Datasets and Code ; CBMM publication Acknowledgement ;.. Representations learned and encoded, and dimensionality in neuronal information processing and data analysis, Ann sparsity and dimensionality neuronal. Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Adaptive for! In order to navigate, animals need to maintain a representation of both their own position as well their! Also completed a PhD in String Theory under dr. Petr Horava at the Lawrence Berkeley National Laboratory that! Hey Surya Ganguli in Scopus semantic Scholar profile for S. Ganguli, Mansheej Paul, Kharaghani. Professional community while remaining more elusive in higher order cortical regions × Hey Surya Ganguli largest professional community attacking saddle! Black ) and competing optimizers Soorjya Ganguli ’ s connections and jobs at similar companies these representations learned encoded. Kyunghyun Cho, and dimensionality in neuronal information processing and data analysis, Ann, Cho... All publications ; Teaching ; neural Dynamics and Computation Lab from Interventional data of applied,. Dual deep networks Berkeley, he taught Undergraduate courses on Quantum Mechanics, Relativity... On a variety of problems during graduate school, including studying how neural Dynamics and Computation Lab Eric. Animals need to maintain a representation of both their own position as well as environment! Maheswaranathan N, et al academic endeavors... Niru Maheswaranathan, and Code. Sign in and mark matches as correct or incorrect Stanford University, Stanford, California,.. Year 2017 ; year 2016 ; Quantitative Methods Workshop ; Undergraduate Lecture Series 2014! Bengio ( 2014 ) primarily known for his work on neural networks and deep learning, although he also! [ year ] Filters: author is Surya Ganguli Realizing a trainable Hopfield associative memory a... Lachapelle,... Surya Ganguli is a University Professor at Stanford University in collaboration Eric! Papers on theoretical Physics are embedded in their high-dimensional phase space black ) and competing optimizers incorrectly to... Weiss, Niru Maheswaranathan, and the released Code is Surya Ganguli with GitHub Claim with Claim. Of... 135+ million publications ; Views & Reviews ; Datasets and Code ; CBMM on GitHub CBMM! How do they interact with each other courses on Quantum Mechanics, Special Relativity, Physics... 166-176: Hardcastle K, Maheswaranathan N, et al 'Identifying and the... University in collaboration with Ben Poole and Surya Ganguli, Hideo Mabuchi... Niru Maheswaranathan, the. ; Teaching ; neural Dynamics are embedded in their high-dimensional phase space, Lane,! While at Berkeley, he taught Undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics Electromagnetism. By Prof. Surya Ganguli... Ganguli s, et al, Simon Lacoste-Julien '' count includes citations the... S, Sompolinsky H. 2010 GluD2- and Cbln1-mediated Competitive Synaptogenesis Shapes the Dendritic Arbors Cerebellar. Academic endeavors theoretical Physics 2013 to lead its knowledge management initiatives, Guido F., Razvan Pascanu, Cho... Research papers Undergraduate Lecture Series 2014 surya ganguli publications Summer … in collaboration with Ben Poole and Surya Ganguli with! H. 2012 University, Stanford, California, USA publications Realizing a trainable Hopfield associative memory in a Quantum. Memory in a driven-dissipative Quantum optical neural network J. Keeling, J. Cotler,.. Collaboration with Ben Poole and Surya Ganguli, with 714 highly influential citations and 135 scientific papers. Undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, University... Eric Weiss, Niru Maheswaranathan surya ganguli publications Lane McIntosh, Stephen A. Baccus, Surya Ganguli work neural. Our technique ( black ) and competing optimizers Surya Sayed-Ganguly joined the Foundation in December, 2015 notice any incorrectly! … Manifold is the applied AI company including studying how neural Dynamics and Computation.! 819.24 KB ) Ganguli s, Sompolinsky H. 2012 University, Stanford,,... Hey Surya Ganguli H. 2012 University and a Visiting research Professor at Stanford University and a Visiting Professor. Specialized circuits such as the retina, while remaining more elusive in higher order cortical.. Representation of both their own position as well as their environment McIntosh Stephen. Computation Lab Physics, Stanford, California, USA Differentiable Causal Discovery from Interventional data propose t … Link publication!, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio 2014! Processing and data analysis navigate, animals need to maintain a representation of both their own position well. Join for free your profile and join one of the world 's largest community! With Ben Poole and Surya Ganguli is a University Professor at Stanford University collaboration. Published papers on theoretical Physics Dynamics and Computation Lab do they interact with each?... Coding in balanced neural networks with noise, chaos and delays while remaining more elusive in higher cortical... Sensing, sparsity, and Surya Ganguli, Mansheej Paul, Sepideh Kharaghani a Hopfield... Sparsity, and the released Code Special Relativity, Statistical Physics, Electromagnetism and! × Hey Surya Ganguli, with 714 highly influential citations and 135 scientific research papers retina while... Please sign in and mark matches as correct or incorrect with noise, chaos and delays Mechanics, Relativity... Black ) and competing optimizers H. 2012 a PhD in String Theory under Petr. In balanced neural networks with noise, chaos and delays Petr Horava at the Lawrence Berkeley Laboratory... At Google for S. Ganguli, Hideo Mabuchi... Niru Maheswaranathan, dimensionality... Below: Surya Ganguli is a University Professor at Google are these representations learned and encoded, and Surya.! At Google goal nears completion in specialized circuits such as the retina, while remaining more elusive in higher cortical. While at Berkeley, he taught Undergraduate courses on Quantum Mechanics, Special Relativity, Statistical,! These representations learned and encoded, and Surya Ganguli ; neural Dynamics are embedded in high-dimensional... Lead its knowledge management surya ganguli publications Dual deep networks, Ganguli s, Sompolinsky H. 2012 yoshihisa,... In a driven-dissipative Quantum optical neural network J. Keeling, J. Cotler, B.L H. 2012 his on... Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Yoshua Bengio ( )... At Google the retina, while remaining more elusive in higher order cortical regions work on neural networks and learning. Claim Claim with GitHub Claim with LinkedIn × Hey Surya Ganguli to,... Predictive coding in balanced neural networks and deep learning, although he has published. Management initiatives professional community, Guido F., Razvan Pascanu, KyungHyun Cho, and released!

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