Frontiers in Computing + Mathematical Sciences

Monday, January 30, 2017 (Schedule & Abstracts)

Location: 105 Annenberg
Time Speaker
9:20 Introduction
Mathieu Desbrun, Caltech
9:30 Data Privacy: How to Survive the Inference Avalanche
Reza Shokri, Cornell University
10:30 Coffee Break (Annenberg Lobby)
11:00 Data-Driven Probabilistic Modeling and High-Performance Computing: Algorithms and Applications to Physical and Biological Systems
Paris Perdikaris, Massachusetts Institute of Technology
1:15 Extreme Events and Metastability in Fluids and Waves
Tobias Grafke, New York University
2:15 Coffee Break (Annenberg Lobby)
2:45 Towards a Theory of Fairness in Machine Learning
Jamie Morgenstern, University of Pennsylvania
3:45 Coffee Break (Annenberg Lobby)
4:15 Shared-Memory Parallelism Can Be Simple, Fast, and Scalable
Julian Shun, UC Berkeley

Monday, February 27, 2017 (Schedule & Abstracts)

Location: 105 Annenberg
Time Speaker
9:20 Introduction
Mathieu Desbrun, Caltech
9:30 Learning to See Without a Teacher
Phillip Isola, UC Berkeley
10:30 Coffee Break (Annenberg Lobby)
11:00 Modeling, Dynamics and Numerics Through the Lens of Geometry: Recent Advances in Fluid-Structure Interaction and Irreversible Processes
François Gay-Balmaz, Ecole Normale Supérieure, Paris
1:30 Hardness of Approximation Between P and NP
Aviad Rubinstein, UC Berkeley
2:30 Coffee Break (Annenberg Lobby)
3:00 Learning from People
Nihar Shah, UC Berkeley


 

Department of Computing + Mathematical Sciences