Colloquium
- Lisa Fauci, Department of Mathematics, Tulane UniversityBuckling, mixing, swimming, dissolving: adventures with helices at the microscale.The motion of passive or actuated elastic filaments in a fluid environment is a common element in many
- Eduardo Corona, Department of Applied Mathematics, º£½ÇÉçÇøA crash course in boundary integral methods with applications to Stokesian suspensionsBoundary integral methods consist on re-formulating PDE boundary value problems in
- Margaret Cheney, Department of Mathematics at Colorado State University, will talk, "Passive Source Localization"This talk introduces the problem of localizing electromagnetic sources from measurements of their radiated fields at two moving
- Leslie Greengard, Courant Department of Mathematics, New York UniversityAdaptive methods for the simulation of diffusion and fluid flow in complex geometries We will review the state of the art in integral equation methods for the solution of the
- John Bush, Department of Mathematics, Massachusetts Institute of Technology (MIT)Hydrodynamic quantum analogsIn 2005, Yves Couder and Emmanuel Fort discovered that droplets walking on a vibrating fluid bath exhibit several features previously
- Doug Nychka, Department of Applied Mathematics and Statistics, Colorado School of MinesFlorian Gerber, Department of Biostatistics, University of ZurichClimate models, large spatial datasets, and harnessing deep learning for a statistical
- Mason Porter; Department of Mathematics; University of California, Los Angeles (UCLA)Opinion Dynamics on NetworksFrom the spreading of diseases and memes to the development ofopinions and social influence, dynamical processes are influenced
- Matthew Peters, Senior Research Scientist, Allen Institute for Artificial IntelligenceA guided tour of contextual word representations for language understandingThe last 3-4 years have seen a tremendous increase in the abilities of natural language
- Abdelrahman Mohamed, Research Scientist, Facebook AI ResearchRecent advances in speech representation learningSelf-supervised representation learning methods recently achieved great successes in NLP and computer vision domains, reaching new
- Pieter Abbeel; Professor of Electrical Engineering and Computer Science; University of California, BerkeleyUnsupervised Reinforcement LearningDeep reinforcement learning (Deep RL) has seen many successes, including learning to play Atari games, the