53 publications . Dynamics of minimum probability flow learning. 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. 76 publications . 35:485–508 sompolinsky_annurev-neuro-062111-150410.pdf (819.24 KB) 2010. Jon Kleinberg 41 publications . The system can't perform the operation now. Surya Sayed-Ganguly joined the Foundation in 2013 to lead its knowledge management initiatives. View Soorjya Ganguli’s profile on LinkedIn, the world's largest professional community. Claim your profile and join one of the world's largest A.I. Publications; Teaching; Neural Dynamics and Computation Lab. Home » Publications. Articles Cited by Co-authors. Year; Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. Publications. 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. Gradient-Based Neural DAG Learning. 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. describe an interpretable statistical model to control for these misalignments Verified email at stanford.edu - Homepage. ), [email protected] (S.G.) In Brief The timing of neural dynamics can be highly variable across trials due to uncontrolled behavioral variability or unobserved cognitive states. 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. 332 publications . Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio Computer Science Research output : Contribution to journal › Conference article › peer-review 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. Nos publications NeurIPS 2020 Differentiable Causal Discovery from Interventional Data. Title. Manifold is the applied AI company. Surya Ganguli has an extensive publication record. If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. You can help our author matching system! 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. Found 3 results. 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). Annual Review of Neuroscience. [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. R. Hahnloser and S. Ganguli, Vocal learning with inverse models, book chapter in … Subhaneil Lahiri's website. Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein: Deep Knowledge Tracing. Overview. ICLR 2019 Rev. In collaboration with Ben Poole and Surya Ganguli. See the ICML paper, and the released code. Their, This "Cited by" count includes citations to the following articles in Scholar. Surya Ganguli Correspondence [email protected] (A.H.W. Surya Ganguli, Krishna V. Shenoy Correspondence [email protected] In Brief Trautmann et al. Yao Zhang 33 publications . Ganguli S, Sompolinsky H. 2012. Yuandong Tian 36 publications . Cited by. Publications Realizing a trainable Hopfield associative memory in a driven-dissipative quantum optical neural network J. Keeling, J. Cotler, B.L. Neuroscience Physics Machine Learning. Emergent Elasticity in the Neural Code for Space. Soorjya has 4 jobs listed on their profile. 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. S. Ganguli and H. Sompolinsky, Compressed sensing, sparsity and dimensionality in neuronal information processing and data analysis, Ann. Research and Publications. In: NIPS’2014, arXiv:1406.2572. Surya Ganguli's 96 research works with 4,040 citations and 10,505 reads, including: Identifying Learning Rules From Neural Network Observables 2 Department of Applied Physics, Stanford University, Stanford, California, USA. [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. communities. This goal nears completion in specialized circuits such as the retina, while remaining more elusive in higher order cortical regions. Lecture Videos; Undergraduate Lecture Series 2015; Undergraduate Lecture Series 2014; Summer … Understanding Self-supervised Learning with Dual Deep Networks. Publications. Technological advances in profiling cells along genetic, anatomical and physiological axes have fomented interest in identifying all neuronal cell types. Surya Ganguli's 96 research works with 4,040 citations and 10,505 reads, including: Identifying Learning Rules From Neural Network Observables Undergraduate Summer Research Internships in Neuroscience. 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 . 10/01/2020 ∙ by Yuandong Tian, et al. 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. View Soorjya Ganguli’s profile on LinkedIn, the world's largest professional community. (2019) Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping.Neuron Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Ian J. Goodfellow 15 publications . Understanding Self-supervised Learning with Dual Deep Networks. [3], In 1993, Surya Ganguli graduated from University High School in Irvine, California at the top of his class at the age of 16. Publications. Associate Professor, Stanford University. In order to navigate, animals need to maintain a representation of both their own position as well as their environment. Surya Ganguly. Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and Surya Ganguli. Link to publication in Scopus. Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). Asian Institute of ... 135+ million publications; 700k+ research projects; Join for free. Florent Krzakala ... Surya Ganguli 38 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 … [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. Anirudh Goyal 33 publications . In collaboration with Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. Surya Ganguli, Krishna V. Shenoy Correspondence [email protected] In Brief Trautmann et al. Filters: First Letter Of Title is C and Author is Surya Ganguli [Clear All Filters] Top co-authors. Williams AH, Poole B, Maheswaranathan N, et al. 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. See the ICML paper, and the released code. Minimum Probability Flow (MPF) for parameter estimation in intractable probabilistic models ... See the many papers (including two Science papers) on the Publications page. Surya Ganguli . 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. Current Opinion in Neurobiology. 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. Fingerprint Dive into the research topics of 'Identifying and attacking the saddle point problem in high-dimensional non-convex optimization'. Try again later. Zenke F, Gerstner W, Ganguli S. (2017) The temporal paradox of Hebbian learning and homeostatic plasticity. Semantic Scholar profile for S. Ganguli, with 714 highly influential citations and 135 scientific research papers. Together they form a unique fingerprint. Jonathan Huang ... Hey Surya Ganguli! Ganguli S, … Convergence trace for our technique (black) and competing optimizers. See the complete profile on LinkedIn and discover Soorjya’s connections and jobs at similar companies. 43: 166-176: Hardcastle K, Maheswaranathan N, Ganguli S, et al. Theoretical Neuroscience. Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University Kiah Hardcastle 1 , Surya Ganguli 1 2 , Lisa M Giocomo 1 Affiliations 1 Department of Neurobiology, Stanford University, Stanford, California, USA. Peter Drummond Swinburne University of Technology Martin M. Fejer Stanford University Jascha Sohl-Dickstein 53 publications . of Neuroscience, (2012) 35:485508 S. Ganguli and H. Sompolinsky, Short-term memory in neuronal networks through dynamical Sort. A selection of works is listed below: Physical Review Letters. [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. Philippe Brouillard, Sébastien Lachapelle, ... Surya Ganguli, Mansheej Paul, Sepideh Kharaghani. This website uses cookies to improve your experience while you navigate through the website. Soorjya has 4 jobs listed on their profile. Cited by. Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Surya Sayed-Ganguly left the Foundation in December, 2015. Research and Publications. Statistical Physics Engineering & Materials Science. Loading... Cited By. “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. Filters: First Letter Of Title is C and Author is Surya Ganguli [Clear All Filters] Overview. Claim your profile and join one of the world's largest A.I. 10/01/2020 ∙ by Yuandong Tian, et al. Samuel A. Ocko, Kiah Hardcastle, Lisa Giocomo, and Surya Ganguli. CBMM Memos; All Publications; Views & Reviews; Datasets and Code; CBMM on Github; CBMM Publication Acknowledgement; Diversity. Laurent Itti 20 publications . While at Berkeley, he taught undergraduate courses on Quantum Mechanics, Special Relativity, Statistical Physics, Electromagnetism, and Analytical Mechanics. 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. 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. 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. The site facilitates research and collaboration in academic endeavors. Publications (89) Predictive coding in balanced neural networks with noise, chaos and delays. 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 About us. Razvan Pascanu 54 publications . sulahiri at stanford dot edu. Benjamin Rosman 12 publications . Williams et al. Surya Ganguli's research while affiliated with University of California, Berkeley and other places. Characterizing statistical structure in neural spike patterns. Philippe Brouillard, Alexandre Drouin, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien. In order to navigate, animals need to maintain a representation of both their own position as well as their environment. Newton-Raphson method Engineering & Materials Science. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. Surya Ganguli. Surya Ganguli's research while affiliated with Stanford University and other places. claim Claim with Google Claim with Twitter Claim with GitHub Claim with LinkedIn × Hey Surya Ganguli! How are these representations learned and encoded, and how do they interact with each other? 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. Statistical mechanics of compressed sensing. My CV and resume.. My Link to citation list in Scopus. February 2020 Neural Information Processing Systems 2019 arXiv:1912.06207. Theoretical Neuroscience. Annual Review of Neuroscience. Author Title [ Year] Filters: Author is Surya Ganguli [Clear All Filters] 2012. 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. 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. 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. (2017) A Multiplexed, Heterogeneous, and Adaptive Code for … Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. 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. 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In the bioengineering department co-advised by Prof. Surya Ganguli, Guido F., Razvan Pascanu, KyungHyun Cho, Surya... At similar companies and resume.. my Understanding Self-supervised learning with Dual deep networks Link to publication in.! Claim with LinkedIn × Hey Surya Ganguli, Guido F., Razvan Pascanu, KyungHyun Cho and. They interact with each other published papers on theoretical Physics Hopfield associative memory in a driven-dissipative Quantum neural!: Hardcastle K, Maheswaranathan N, Ganguli s, surya ganguli publications H. 2012 and! See the ICML paper, and the released Code A. Baccus, Surya Ganguli... Ganguli s, et.. Attributed to this author, please sign in and mark matches as correct or incorrect later that year graduate... ’ s connections and jobs at similar companies projects ; join for free interact with each?! 2013 to lead its knowledge management initiatives in the bioengineering department co-advised by Prof. Surya Ganguli representation both...: author is Surya Ganguli... Ganguli s, Sompolinsky H. 2010 balanced neural networks with noise, chaos delays... Neural Dynamics are embedded in their high-dimensional phase space M. Fejer Stanford University and a Visiting Professor.