Colloquium
- Esteban Real, Software Engineer, Google BrainEvolving Machine Learning AlgorithmsThe effort devoted to hand-crafting machine learning (ML) models has motivated the use of automated methods. These methods, collectively known as AutoML, can today
- Christian Szegedy, Staff Research Scientist, GoogleMachine Learning for Mathematical Reasoning In this talk I will discuss the application of transformer based language models and graph neural networks on automated reasoning tasks in first
- Rico Sennrich, Professor of Computational Linguistics, University of ZurichLessons from Multilingual Machine Translation Neural models have brought rapid advances to the field of machine translation, and have also opened up new
- Rob Fergus, Professor of Computer Science, New York University and Research Scientist, DeepMindBiological structure and function emerge from scaling unsupervised learning to 250 million protein sequences In the field of artificial
- Susan Murphy, Radcliffe Alumnae Professor at the Radcliffe Institute and Professor of Statistics and Computer Science, Harvard UniversityChallenges in Developing Learning Algorithms to Personalize Treatment in Real TimeThere are a variety of
- APPM Colloquium: Speaker : Susan Murphy Affiliations: Department of Statistics, Harvard UniversityDepartment of Computer Science, Harvard UniversityRadcliffe Institute for Advanced Study, Harvard University Day/Time:
- Alex Hening, Department of Mathematics, Tufts UniversyThe competitive exclusion principle in stochastic environmentsThe competitive exclusion principle states in its simplest form that a number of species competing for a smaller number of
- Vrushali Bokil, Department of Mathematics, Oregon State UniversityCompatible Discretizations for Maxwell’s Equations in Complex MaterialsIn this talk, we discuss the construction of a specific compatible discretization, the Mimetic Finite
- William J. Layton, Department of Mathematics, University of Pittsburgh5 ideas, good and bad, in computational fluid dynamics The goal of numerical analysis of the Navier-Stokes equations is to extend the accuracy, reliability and
- James Sethian; Department of Mathematics; University of California, BerkeleyAdvances in Advancing Interfaces: The Mathematics of Manufacturing of Industrial Foams, Fluidic Devices, and Automobile PaintingHow do inkjet printers