surya ganguli google scholar

Stanislav Fort, Surya Ganguli The local geometry of high dimensional neural network loss landscapes can both challenge our cherished theoretical intuitions as well as dramatically impact the practical success of neural network training. John Hewitt and Christopher D. Manning. Donate to arXiv. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. My CV and resume.. My publications.. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. The following articles are merged in Scholar. Jascha is a staff research scientist on the Brain team at Google. University of California, San Francisco San Francisco, CA Their combined citations are counted only for the first article. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. My CV and resume.. My publications.. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. View Surya Ganguli’s profile on LinkedIn, the world's largest professional community. Add co-authors Co-authors. ... Surya Ganguli. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. I am interested in most aspects of theoretical neurobiology, and am currently studying models of complex synapses. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. The following articles are merged in Scholar. arXiv is committed to these values and only works with partners that adhere to them. Visiting Scholar at Binghamton University During my PhD research with Surya Ganguli as a member of the Neural Dynamics and Computation Lab at Stanford University I focused on the developing field of high dimensional statistics, where inference accuracy is hindered by a high dimensional parameter space (the curse of dimensionality). ... A Ganguly, D Kumar, P Ganguli, G Short, J Klausner. John Hewitt and Percy Liang. Thank you for your interest in spreading the word about bioRxiv. Kiah Hardcastle, Surya Ganguli, Lisa M. GiocomoCell types for our sense of location: where we are and where we are going Nature Neurosci, 20 (2017), p. 1474 Google Scholar ... Surya Pratap Singh. This "Cited by" count includes citations to the following articles in Scholar. 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. Subhaneil Lahiri's website. Their combined citations are counted only for the first article. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to Mar 20 Visiting Research Professor, 1 day a week. I am a postdoc in the Applied Physics department. We attempt to bridge the gap between the theory and practice of deep learning by systematically analyzing learning dynamics for the restricted case of deep linear neural networks. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. 2014. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. Merged citations. Authors: Stanislav Fort, Surya Ganguli Download PDF Abstract: The local geometry of high dimensional neural network loss landscapes can both challenge our cherished theoretical intuitions as well as dramatically impact the practical success of neural network training. Prior to this position he was a visiting scholar in Surya Ganguli's lab at Stanford University, and an academic resident at Khan Academy.He earned his PhD in 2012 in the Redwood Center for Theoretical Neuroscience at UC Berkeley, in Bruno Olshausen's lab. This "Cited by" count includes citations to the following articles in Scholar. Surya Ganguli . John Hewitt and Percy Liang. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. S Friedrich, K Makonyi, V Metag, D Bayadilov, B Bantes, R Beck, ... E Gjoni, F Zenke, B Bouhours, R Schneggenburger, The Journal of physiology 596 (20), 4945-4967, Frontiers in computational neuroscience 9, 145, New articles related to this author's research, Professor of Computer Science, EPFL, Brain Mind Institute, Ecole Polytechnique Federale de Lausanne, Institute of Science and Technology, Austria, Assistant Professor, Department of Cognitive Sciences and Department of Computer Science, UC Irvine, Professor de Física, Universidade de São Paulo, Postdoctoral Research Associate, Brown Universitz, Providence, RI, Friedrich Miescher Institute for Biomedical Research, Continual learning through synaptic intelligence, Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks, Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks, Superspike: Supervised learning in multilayer spiking neural networks, Synaptic plasticity in neural networks needs homeostasis with a fast rate detector, A deep learning framework for neuroscience. Their combined citations are counted only for the first article. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). In many experiments, neuroscientists tightly control behavior, record many trials, and obtain trial-averaged firing rates from hundreds of neurons in circuits containing billions of behaviorally relevant neurons. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. John Hewitt and Christopher D. Manning. All rights reserved. In this study, we … ‪Georgia Institute of Technology, Atlanta, GA‬ - ‪Cited by 19,478‬ - ‪Polycrystal Plasticity‬ - ‪Indentation‬ - ‪Orientation Imaging‬ - ‪Microstructure Informatics and Design‬ - ‪Materials Cyberinfrastructure‬ EMNLP 2019 (long papers). The following articles are merged in Scholar. Google Scholar Their combined citations are counted only for the first article. ‪Stanford‬ - ‪322-mal zitiert‬ Folgende Artikel sind in Scholar zusammengeführt. Their combined citations are counted only for the first article. Google Scholar A Structual Probe for Finding Syntax in Word Representations. The following articles are merged in Scholar. Surya Ganguli began his academic career as an undergraduate at MIT, triple majoring in mathematics, physics, and electrical engineering and computer science (1998) and then completed his Ph.D. in string theory at University of California, Berkeley (2004). 2014. Surya has 5 jobs listed on their profile. Their combined citations are counted only for the first article. Despite the linearity of their input … Philosophical Transactions of the Royal Society B 372 (1715), 20160259. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. Surya Ganguli. Surya Ganguli, Dongsung Huh, Haim Sompolinsky Proceedings of the National Academy of Sciences Dec 2008, 105 (48) 18970-18975; DOI: 10.1073/pnas.0804451105 Share This Article: Copy This pipeline employed a two model approach, using logistic regression and convolutional neural networks to predict seizures. Absence epilepsy is a neurological condition characterized by abnormally synchronous electrical activity within two mutually connected brain regions, the thalamus and cortex, that results in seizures and affects more than 6.5 million people. Their combined citations are counted only for the first article. This "Cited by" count includes citations to the following articles in Scholar. The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. The ones marked * may be different from the article in the profile. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Google Brain Intern at Google Berkeley, CA. The following articles are merged in Scholar. The following articles are merged in Scholar. The following articles are merged in Scholar. Merged citations. Associate Professor, Stanford University. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. Their combined citations are counted only for the first article. No reuse allowed without permission. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to present Visiting Research Professor, 1 day a week. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. Merged citations. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. The following articles are merged in Scholar. ‪Aerospace Engineering, Indian Institute of Science‬ - ‪Cited by 6,638‬ - ‪Computational Engineering‬ - ‪Mechanics & Materials‬ - ‪Flight Vehicles‬ - ‪Optimization‬ - ‪Machine Learning‬ In this study, we … Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to present Visiting Research Professor, 1 day a week. The following articles are merged in Scholar. In January 2012, I started as an assistant professor in the Department of Applied Physics at Stanford University, with courtesy appointments in Neurobiology and Electrical Engineering. Curriculum Vitae. The ones marked * may be different from the article in the profile. Absence epilepsy is a neurological condition characterized by abnormally synchronous electrical activity within two mutually connected brain regions, the thalamus and cortex, that results in seizures and affects more than 6.5 million people. Merged citations. Add co-authors Co-authors. Try again later. Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. NAACL 2019 (short … It has been proposed that generic high-dimensional dynamical systems could retain a memory trace for past inputs in their current state. Coordinated activity across networks of neurons is a hallmark of both resting and active behavioral states in many species, including worms, flies, fish, mice and humans[1][1]–[5][2]. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. Runner up best paper. Merged citations. 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