Seminars

Nonlinear Waves Seminar - Sean Nixon

Sept. 7, 2021

Sean Nixon, Department of Applied Mathematics, University of Colorado Boulder Analytical study of Floquet topological insulators The search for novel phenomena in photonic waveguides centers on engineering systems that feature unique dispersive properties often involving spectral degeneracies. From optical graphene to unidirectional invisibility to the anomalous quantum Hall effect, spectral...

Applied Mathematics Colloquium - Doug Nychka and Florian Gerber

Sept. 3, 2021

Doug Nychka, Department of Applied Mathematics and Statistics, Colorado School of Mines Florian Gerber, Department of Biostatistics, University of Zurich Climate models, large spatial datasets, and harnessing deep learning for a statistical computation Numerical simulations of the motion and state of the Earth's atmosphere and ocean yield large and complex...

Mathematical Biology Seminar - Dan Messenger

Aug. 30, 2021

Dan Messenger, Department of Applied Mathematics, University of Colorado Boulder Weak-Form Sparse Identification of Nonlinear Dynamics with Applications to Cell Migration The weak-form sparse identification of nonlinear dynamics (WSINDy) algorithm for inferring nonlinear governing equations from noisy datasets significantly improves the accuracy and robustness to noise of strong-form methods. Furthermore,...

Applied Mathematics Colloquium - Mason Porter

Aug. 27, 2021

Mason Porter; Department of Mathematics; University of California, Los Angeles (UCLA) Opinion Dynamics on Networks From the spreading of diseases and memes to the development ofopinions and social influence, dynamical processes are influenced heavilyby the networks on which they occur. In this talk, I'll discuss the socialinfluence and opinion models...

Mathematical Biology Seminar - David Bortz and Nancy Rodriguez

Aug. 23, 2021

David Bortz and Nancy Rodriguez, Department of Applied Mathematics, University of Colorado Boulder Overview of Math Biology Research in the Applied Math Department David Bortz will give an overview of the math bio group here in the Applied Math Department. He will also describe his research group and our investigations...

APPM Department Colloquium - Matthew Peters

April 30, 2021

Matthew Peters, Senior Research Scientist, Allen Institute for Artificial Intelligence A guided tour of contextual word representations for language understanding The last 3-4 years have seen a tremendous increase in the abilities of natural language understanding systems to perform tasks such as text generation, question answering, and information extraction. These...

APPM Department Colloquium - Abdelrahman Mohamed

April 26, 2021

Abdelrahman Mohamed, Research Scientist, Facebook AI Research Recent advances in speech representation learning Self-supervised representation learning methods recently achieved great successes in NLP and computer vision domains, reaching new performance levels while reducing required labels for many downstream scenarios. Speech representation learning is experiencing similar progress, with work primarily focused...

APPM Department Colloquium - Pieter Abbeel

April 23, 2021

Pieter Abbeel; Professor of Electrical Engineering and Computer Science; University of California, Berkeley Unsupervised Reinforcement Learning Deep reinforcement learning (Deep RL) has seen many successes, including learning to play Atari games, the classical game of Go, robotic locomotion and manipulation. However, past successes are ultimately in fairly narrow problem domains...

Complex/Dynamical Systems Seminar - Juniper Lovato

April 22, 2021

Juniper Lovato, Director of Outreach for Complex Systems, University of Vermont Limits of individual consent and models of distributed consent in online social networks Personal data is not discrete in socially-networked digital environments. A user who consents to allow access to their profile can expose the personal data of their...

APPM Department Colloquium - Mihaela van der Schaar

April 16, 2021

Mihaela van der Schaar, John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine, University of Cambridge; Turing Fellow, The Alan Turing Institute in London; Chancellor’s Professor, UCLA Why medicine is creating exciting new frontiers for machine learning Medicine stands apart from other areas where machine learning can be...

Pages