Debate: "Does Hierarchical Predictive Coding Explain Perception?" (Clark, Heeger, Melloni, Rescorla)
Debate between Andy Clark, David Heeger, Lucia Melloni and Michael Rescorla at NYU on May 8, 2018. Moderated by Ned Block. Sponsored by the NYU ...
NYU Center for Mind, Brain and Consciousness
Course on the Statistical Learning Theory: 06 Generalization Bound
ML4U
Recurrent Switching Linear Dynamical Systems for Neural and Behavioral Analysis
Scott Linderman – Professor, Stanford Abstract The trend in neural recording capabilities is clear: we can record orders of magnitude more neurons now than we ...
Stanford Research Talks
Sunrose Shrestha: The topology and geometry of random square-tiled surfaces
DinAmicI: Another Internet Seminar June 17, 2020 Speaker: Sunrose Shrestha (Tufts University, USA) Title: The topology and geometry of random square-tiled ...
DinAmicI
Statistical and Computational aspects of Wasserstein Barycenters - P. Rigollet @ MAD+ (8 Apr 2020)
Speaker: Philippe Rigollet (MIT)
Math and Data Plus
Lecture 06 Case Studies: HMM and CRF
10-708 PGM
UMAP Uniform Manifold Approximation and Projection for Dimension Reduction | SciPy 2018 |
This talk will present a new approach to dimension reduction called UMAP. UMAP is grounded in manifold learning and topology, making an effort to preserve ...
Enthought
Ankur Parikh: Spectral Probabilistic Modeling and Applications to Natural Language Processing
Talk: Ankur Parikh Title: Spectral Probabilistic Modeling and Applications to Natural Language Processing Abstract: Being able to effectively model latent ...
Allen Institute for AI
A New Physics of the Matrix - The World as a Holographic Simulation
The author overviews a new testable theory which replaces the outdated notion of time-slicing present in classical and quantum mechanics, with a proposal for ...
Sky Nelson-Isaacs
LSE Events | Prof. Alison Gopnik | Why Children Learn Better: the evolution of learning
For Slides+Audio please see: http://www.lse.ac.uk/website-archive/newsAndMedia/videoAndAudio/channels/publicLecturesAndEvents/player.aspx?id=3819 ...
LSE
Large Scale Malicious Domain Detection with Spark AITing Chen Tencent,Hao Guo Tencent
Malicious domains are one of the main resources used to mount attacks over the Internet. It is important to detect such activities by mining the large-scale ...
Databricks
Postselection-free entanglement dynamics via spacetime duality ▸ Matteo Ippoliti #frontiers
Recorded as part of the "Frontiers of Quantum Computing and Quantum Dynamics" KITP online conference. Non-equilibrium quantum dynamics is rapidly ...
Kavli Institute for Theoretical Physics
Eugene Demler “Big Data Perspective on Quantum Matter”
Stanford University APPLIED PHYSICS/PHYSICS COLLOQUIUM Tuesday, January 8, 2019 4:30 p.m. on campus in Hewlett Teaching Center, Rm. 201 Eugene ...
Stanford Physics
Visualization and Interactive Data Analysis - DataEDGE 2013
DataEDGE 2013 - http://dataedge.ischool.berkeley.edu Visualization and Interactive Data Analysis Jeffrey Heer, Assistant Professor of Computer Science, ...
Berkeley School of Information
Cognitive Neuroscience at Dartmouth - Spike timing, sequences, and model-based prediction
The Center for Cognitive Neuroscience at Dartmouth presents: Matt van der Meer - Spike timing, sequences, and model-based prediction in the rat hippocampus ...
Dartmouth
Lightning Talks - Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly Brukhim
Workshop on New Directions in Reinforcement Learning and Control Topic:Lightning Talks Speaker: Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly ...
Institute for Advanced Study
UW Allen School Colloquium: Scott Linderman (Columbia University)
Machine Learning Models and Algorithms for Neuroscience Abstract: Advances in machine learning are profoundly impacting many scientific domains, offering ...
Paul G. Allen School
AI Weekly Update #10 - October 28th, 2019
https://ai.googleblog.com/2019/10/audio-and-visual-quality-measurement.html https://arxiv.org/pdf/1910.09470.pdf ...
Henry AI Labs
Lightning Talks - Galen Cho, Christina Yu, Cyril Zhang, Laura Balzano, Max Simchovitz
Workshop on New Directions in Reinforcement Learning and Control Topic: Lightning Talks Speaker: Galen Cho, Christina Yu, Cyril Zhang, Laura Balzano, Max ...
Institute for Advanced Study
Cecilia Clementi: "Learning molecular models from simulation and experimental data"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Learning molecular models from ...
Institute for Pure & Applied Mathematics (IPAM)
Learning with Primal and Dual Model Representations: A Unifying Picture
Source - http://www.icassp2016.org/ShowRecording.asp?C=5BEE280F Johan Suykens - KU Leuven Learning with Primal and Dual Model Representations: A ...
李立峰
Colloquium: How thermodynamics becomes stochastic
How thermodynamics becomes stochastic — a short exploration of recent advances in statistical physics IFT/ICTP-SAIFR Colloquium - March 11, 2020 Ralf ...
Instituto de Física Teórica, IFT-UNESP
"A Whirlwind Tour of Molecular Machine Learning" by Patrick Riley
This talk is part of IACS's 2019 symposium on the Future of Computation: "Data Science at the Frontier of Discovery: Machine Learning in the Physical World" ...
Harvard Institute for Applied Computational Science
Model Selection for Optimal Prediction in Statistical Learning - Part 2 / 2 | AISC
Speaker(s): Ernst Fokoue Facilitator(s): Nour Fahmy Speaker(s): Ernest Fokoue Facilitator(s): Nour Fahmy Find the recording, slides, and more info at ...
ML Explained - A.I. Socratic Circles - AISC
Probabilistic Model Construction Via Grammatical Inference
EECS 500.
Case Western Reserve University
Facilitating Drug Discovery with HDX-Mass Spectrometry
GEN webinar hosted live on December 2, 2015. Dr. Ganesh Anand from the National University of SIngapore and Ms. Kai Zhang from the Lilly Biotechnology ...
Waters Corporation
Analyzing Mobile ad hoc Network Protocols via Probabilistic Model Checking [1/26]
Ad hoc networks are formed as collections of nodes that communicate over wireless channels. The dynamic and distributed nature of such networks means that ...
Microsoft Research
Molecules: Breaking and Making Chemical Bonds with Dudley Herschbach
Dudley Herschbach, Professor of Science at Harvard and winner of the Nobel Prize for chemistry, delivers the Hitchcock Lecture at UC Berkeley. He explores the ...
University of California Television (UCTV)
The 5 Unbreakable Rules of Trading
In this session, Stuart will explain what he believes are unbreakable rules when it comes to developing a trading plan that you can implement with confidence.
MetaStock
Earthrise: Celebrating the Photograph that Changed (How We View) the World
On Christmas Eve, 1968, the NASA crew on Apollo 8 took the Earthrise photograph, the first photo of the earth from the perspective of the moon.
Library of Congress
Jet Quenching and the Most Liquid Liquid in the Universe - K. Rajagopal - 2/24/2015
Introduction by Mark Wise. Learn more about the Inaugural Celebration and Symposium of the Walter Burke Institute for Theoretical Physics: ...
caltech
105.8W Basic Probability Notions; Introducing the Project
Introduction to the "House Hunters" project Basic probability examples: outcomes & events, sample space, equally probably outcomes, mutually exclusive events ...
Matthew Salomone
Statistical mechanics of deep learning by Surya Ganguli
Statistical Physics Methods in Machine Learning DATE: 26 December 2017 to 30 December 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru The ...
International Centre for Theoretical Sciences
A Conversation with Prof. Eric Shea-Brown
On September 21, 2018, CBMM Postdoc Frederico Azevedo took the opportunity to sit down and chat briefly with Prof. Eric Shea-Brown of University of ...
MITCBMM
Introduction to High-Throughput Sequencing
This is the first module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold ...
Bioinformatics DotCa
Understanding Monoclonal Antibody Unfolding and Aggregation
Investigations on thermal behavior are essential during the development of therapeutic proteins. Understanding the link between thermal unfolding and ...
Wyatt Technology
Reinforcement Learning - Jan Peters - MLSS 2017
This is Jan Peters' lecture on Reinforcement Learning, given at the Machine Learning Summer School 2017, held at the Max Planck Institute for Intelligent ...
Max Planck Institute for Intelligent Systems
Humanism Enlightenment and Progress with Steven Pinker
Much of what we call wisdom consists in balancing the conflicting desires within ourselves, and much of what we call morality and politics consists in balancing ...
The Psychology Podcast
An Introduction to the Cognitive Abilities Test CAT4 Webinar 9 April 2014
This webinar offers a practical introduction to getting the most from the assessment for schools who have recently started using CAT4 and for those that are ...
GL Assessment
ACT@UCR Seminar: A Localic Approach to Dependency, Conflict, and Concurrency - Gershom Bazerman
Petri nets have been of interest to applied category theory for some time. Back in the 1980s, one approach to their semantics was given by algebraic gadgets ...
Applied Category Theory
Ruben Coen-Cagli - Tutorial on Computational Neuroscience
Presented at Cognitive Computational Neuroscience (CCN) 2017 (http://www.ccneuro.org) held September 6-8, 2017.
Kendrick Kay
Self organized tissue architecture: morphogenesis in a dish by Maithreyi Narasimha & Vijaykumar....
Program ICTP - ICTS Winter School on Quantitative Systems Biology ORGANIZERS: Buzz Baum, Guillaume Salbreux, Stefano Di Talia and Vijaykumar ...
International Centre for Theoretical Sciences
