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Marcus Noack - Gaussian Process Approximation & Uncertainty Quantification for Autonomous Experiment
Presenter
- Marcus Noack
May 2, 2023
IPAM
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
Presenter
- Joshua Schrier
May 2, 2023
IPAM
Deborah Bard - The Superfacility Model for Connected Science - IPAM at UCLA
Presenter
- Deborah Bard
May 1, 2023
IPAM
Sambit Das - Computation of core energetics of pyramidal dislocation in Mg & Mg-Y alloy using DFT-FE
Presenter
- Sambit Das
April 21, 2023
IPAM
Thomas Hudson - Atomistic and continuum approaches to nanoscale crystal plasticity - IPAM at UCLA
Presenter
- Thomas Hudson
April 20, 2023
IPAM
Thomas Swinburne - Learning uncertainty-aware models of defect kinetics at scale - IPAM at UCLA
Presenter
- Thomas Swinburne
April 19, 2023
IPAM
Liming Xiong - Prediction of Microstructure Evolution in Plastically Deformed Heterogeneous Alloys
Presenter
- Liming Xiong
April 19, 2023
IPAM
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Presenter
- Shenglin Huang
April 18, 2023
IPAM
Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA
Presenter
- Tias Guns
March 2, 2023
IPAM
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA
Presenter
- Petar Veličković
March 2, 2023
IPAM
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM