Start date cannot be after end date.
Eun-Ah Kim - Machine Learning for Quantum Simulation - IPAM at UCLA
Presenter
- Eun-Ah Kim
April 15, 2022
IPAM
Giulia Galli - Embedding theories for quantum simulations on hybrid classical-quantum architectures
Presenter
- Giulia Galli
March 28, 2022
IPAM
Di Fang - Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics
Presenter
- Di Fang
January 24, 2022
IPAM
Realistic Binary Neutron Stars Collisions Simulations: Challenges and Opportunities
Presenter
- Maria Hamilton
October 7, 2021
IPAM
Tensor Optimization Algorithms and Libraries for Quantum Simulation
Presenter
- Edgar Solomonik
May 28, 2021
IMSI
Neutrino transport in neutron star merger simulations
Presenter
- Francois Foucart
October 29, 2020
ICERM
Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning
Presenter
- Peter Stone
July 30, 2020
IAS
Data-Driven Variational Multiscale Reduced Order Models
Presenter
- Traian Iliescu
March 25, 2020
ICERM
Machine learning for atomic and molecular simulations
Presenter
- Michele Ceriotti
November 18, 2019
IPAM
Data-driven models for predictive molecular simulations
Presenter
- Francesco Paesani
October 18, 2019
IPAM
Maximum Entropy Methods for Combining Physics-Based Simulation with Empirical Data
Presenter
- Andrew White
October 15, 2019
IPAM
The interplay between physically motivated simulations and machine learning
Presenter
- Kyle Cranmer
September 9, 2019
IPAM