Seminars

Weekly Computational Sciences / Machine Learning seminar

The Computational Sciences department hosts a weekly seminar on Wednesdays at 12:30pm ET via zoom.


List of speakers

  • April 27th 2022 - Howie Altman and Milton Hernandez (Perceiver.ai) - Algorithm Discovery and Optimization using Genetic Programming

  • April 13th 2022 - Peer-Timo Bremer (LLNL) - Cognitive Simulation and Virtual Diagnostics to Drive High Rep Laser Facilities

  • March 23rd 2022 - Milan Kloewer (Oxford) - Low-precision climate computing: preserving information despite fewer bits

  • March 16th 2022 - Aaron Ho (TU Eindhoven) - Insights from the development of 15D QuaLiKiz neural network and its training dataset

  • March 9th 2022 - Zhewei Yao (Microsoft) - AdaHessian: An Adaptive Second Order Optimizer for Machine Learning

  • February 23rd 2022 - Paola Buitrago (Pittsburgh Supercomputing Center) - Transforming Science and Engineering Research Through An Innovative High Performance AI+HPC Ecosystem at PSC

  • February 16th 2022 - Ian Cosden (Princeton University) - Research Software Engineers

  • February 9th 2022 - Tim Randles (LANL) - How containers are changing HPC at Los Alamos National Laboratory

  • February 2nd 2022 - Aaditya Chandrasekhar (U. Wisconsin) - Topology Optimization using Neural Networks - slides

  • January 26th 2022: Yadu Babuji (U. Chicago) - Introducing Parsl: A Python Parallel Scripting Library

  • December 15th 2021: Azarakhsh Jalalvand (U. Ghent) - ECE signal processing for detecting and locating Alfven Eigenmodes at DIII-D

  • December 1st 2021: Stephen Green - Simulation-based inference for gravitational waves

  • November 17th 2021: James Juno (PPPL) - Prioritizing, Leveraging, and Disseminating Fundamental Algorithms Research

  • November 3rd 2021: Nils Thuerey (TU Munich) - Differentiable Physics Simulations for Deep Learning

  • October 20th 2021: Alexey Dosovitskiy - Transformers for Computer Vision

  • October 13th 2021: S. Smith and O. Menighini (GA) - OMFIT: A Community and Framework for Integrated Modeling and Analysis

  • October 6th 2021: Alan Kaptanoglu (U. Washington) - Physics-constrained reduced-order models for MHD

  • September 8th 2021: M. Hummel and G. Taylor (MongoDB) - Data Management in Document-Oriented NoSQL Databases for Scientific Use Cases

  • September 1st 2021: Bernat Font (Barcelona Supercomputing Center) - A ML model to simulate 3D turbulence in a 2D system applied to wake flows


Previous presentations are listed here