Colloquium
- Lisa Fauci, Department of Mathematics, Tulane ³Ô¹ÏÍøBuckling, 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, ³Ô¹ÏÍø of Colorado BoulderA 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 ³Ô¹ÏÍø, 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 ³Ô¹ÏÍøAdaptive 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, ³Ô¹ÏÍø of ZurichClimate models, large spatial datasets, and harnessing deep learning for a statistical
- Mason Porter; Department of Mathematics; ³Ô¹ÏÍø 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; ³Ô¹ÏÍø of California, BerkeleyUnsupervised Reinforcement LearningDeep reinforcement learning (Deep RL) has seen many successes, including learning to play Atari games, the