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What could neural dynamics have to say about neural computation, and do we know how to listen? Speakers will deliver focused 10-minute talks, with periods reserved for …

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A huge system of equations describes the interactions of waves, such as those found in fluid dynamics and quantum mechanics. The theory of wave turbulence is designed to …

The Simons Collaboration on the Global Brain hosts a postdoc-focused Boston-area group meeting every other month to bring together postdocs interested in neural coding and dynamics …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

Public Lecture Particles in Interaction and Wave Turbulence Isabelle Gallagher, Ph.D. Professor, Professor of Mathematics, École Normale Supérieure de Paris (ENS) Director, Foundation Sciences Mathématiques de Paris …

Fall 2020 Date Name Title 9/18/20 Marilena Loverde Mining The Cosmic Web 9/25/20 Stephon Alexander The Story of a Halo: Chern-Simons Theory, Cosmic …

This is a Biophysics and Development Seminar series hosted by the Biophysical Modeling Group and the Developmental Dynamics Group.

Abstract: The recent success of machine learning suggests that neural networks may be capable of approximating high-dimensional functions with controllably small errors. As a result, they could …

Topic: Electrons in Moiré Superlattices: A playground for correlation and topology Abstract: Interactions among electrons and the topology of their energy bands can create novel quantum phases of …

The goal of MAIN is to bring trainees and world leaders in Neuroscience and AI together from across the globe, and build a more inclusive and diverse Neuro …

Topic: Machine learning approaches for disease genomics

Title: Learning in Graph Neural Networks Abstract: Graph Neural Networks (GNNs) have become a popular tool for learning representations of graph-structured inputs, with applications in computational chemistry …

Presenter: David Odde, Ph.D. Department of Biomedical Engineering, University of Minnesota Title: Mechanics of Brain Cancer Cell Migration Abstract: Glioblastoma(GBM) is a highly malignant brain cancer …

In this presentation, Rebecca Goldin will share some humorous as well as serious stories about statistical bloopers in the media, peppered with suggestions for better communication. Numerical reasoning …

Title: Insights into searches for the nanohertz gravitational-wave background with a Fisher analysis Abstract: Within the next several years pulsar timing arrays (PTAs) are positioned to detect …

Moderator: Wenda Zhou, CCM/NYU Topic: Approximate Cross-validation Paper: Selected papers on approximate cross-validation: Approximate leave-one-out for fast parameter tuning in high dimensions, Wang …

… bounded-degree graphs (Bjorklund, Husfeldt, Kaski, and Koivisto, 2010) and graphs with bounded average degree (Golovnev, Kulikov and Mihajilin, 2016). November 20, 2020 John Peebles- Directed Laplacian …

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Mirror symmetry is a concept born out of string theory that straddles algebraic and symplectic geometry. In this lecture, Nicholas Sheridan will explain what mirror symmetry is and …

… make an appearance in mirror symmetry. He will present joint work with Abouzaid, Ganatra and Iritani, where they find a geometric origin for these numbers’ appearance. Separate …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

Speaker: Joan Bruna Estrach Courant Institute of Mathematical Sciences, New York University Title: On depth separation for neural networks Abstract: Neural networks define functional spaces with appealing behavior …

Title: Far-from equilibrium dynamics November 17, 2020 Frank Pollmann: Fractonic quantum critical points beyond GLW paradigm

Guest Presenter: Dr. Elena F. Koslover, Ph.D., Assistant Professor, Department of Physics University of California, San Diego

Talk Topic: A Higher-Order Spectral Analysis of Active Suspensions

This Junior Scientist Workshop provides an exciting opportunity for graduate students and recent PhDs interested in the mechanistic basis of cognition to present their research to a diverse …

Moderator: Aki Vehtari [Aalto Uni] Topic: Improvements and limitations of autodiff variational inference (ADVI) Paper: – Robust, Accurate Stochastic Optimization for Variational Inference https://arxiv.org/abs/2009.00666 …

The Simons Collaboration on the Global Brain hosts a West Coast group meeting to bring together postdocs and PhD students interested in neural coding and dynamics to discuss …

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In the phase diagrams of many substances (such as water, helium and magnets), there are ‘critical’ points with remarkable physical properties. Mathematically these points exhibit a high degree …

… Online 4:45 – 5:00 PM ET Webinar waiting room opens 5:00 – 6:15 PM ET Talk + Q&A In the phase diagrams of many substances …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

The Simons Collaboration on the Global Brain hosts a postdoc-focused Boston-area group meeting every other month to bring together postdocs interested in neural coding and dynamics …

Topic: Modeling single-cell gene regulatory networks with the Inferelator.

… networks, including fully-connected and convolutional neural networks with ReLU or LeakyReLU activations. In particular, we study the gradient descent or gradient flow (ie, gradient descent with …

Presenter: Aurélien Roux, Ph.D. Professor, Biochemistry Department, University of Geneva Title: In vitro reconstitution of tissue morphogenesis Abstract: Morphogenesis is the process by which cellular tissues acquire …

Lab meeting is canceled today

UPDATE: Postponed: COVID-19: Because of the ongoing COVID-19/SARS-CoV-2 outbreak, CSHL and the organizers have reached the difficult decision to postpone the meeting on …

Like a musical composition, physicist Stephon Alexander will present a four-part movement, each containing a vignette of experiences he had interacting and collaborating with artists and musicians …

Title: Non-Gibbs Statistical Equilibrium of Star Clusters Abstract: Gibbs distribution is thought to be valid for all real world many-body systems in statistical equilibrium. Stellar dynamics …

Conference on the Mathematical Theory of Deep Neural Networks: Recent advances in deep neural networks (DNNs), combined with open, easily-accessible implementations, have made DNNs a powerful, versatile …