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Explore the impact of traumatic brain injury on brain connectivity with Sarah Muldoon's presentation at IPAM, featuring analysis of structural network changes and clinical outcomes.
Learn oscillatory dynamics analysis with Arkady Pikovsky from Universität Potsdam, in a short program by IPAM at UCLA. Understand phase demodulation and network reconstruction.
Explore individual probabilities, reference class problem, and model multiplicity with Aaron Roth from the University of Pennsylvania, in a less than 1-hour session by IPAM.
Explore algorithmic fairness with Guy Rothblum of Apple Inc. and Omer Reingold of Stanford University in this less than 1-hour material from IPAM at UCLA.
Join IPAM's Latinx in Mathematical Sciences Conference for a brief, insightful presentation by David Uminsky on data science, Fourier analysis, and topological data analysis.
Explore how machine learning enhances Quantum Monte Carlo methods with Brenda Rubenstein's lecture from the Institute for Pure & Applied Mathematics. Less than 1-hour workload.
Explore variational wavefunctions for fermions and gauge theories using machine learning with Bryan Clark from the University of Illinois, offered by IPAM.
Explore machine learning approaches to improve density functional theory with Marivi Fernandez-Serra's lecture at IPAM. Learn about neural networks, physically informed machine learning, and more in under 1 hour.
Explore quantum mechanics with Lucas Wagner from the University of Illinois, focusing on compact representations of excited states from QMC. Offered by IPAM, it's under 1-hour long.
Dive into Quantum Simulation with Nathan Wiebe from the University of Toronto, in a 2-3 hour program offered by IPAM at UCLA, covering the Schrodinger Equation, Hamiltonian Simulation, and more.
Dive into Quantum Algorithms with Jens Palsberg from UCLA's IPAM. Understand Grover's Algorithm, Quantum Circuits, and more in a 2-3 hour study.
Join IPAM UCLA's info session to explore mathematical and computational challenges in quantum computing, featuring experts from UC Berkeley, Google, and UCLA Physics.
Dive into computer-assisted proofs in quadratic forms arithmetic with Princeton's Johnathan Hanke. Offered by IPAM at UCLA, this under 1-hour material explores theorems made possible by modern software.
Explore symbolic computation verification with the HolPy theorem prover in this less than 1-hour material by Bohua Zhan from the Chinese Academy of Sciences, offered by IPAM at UCLA.
Explore deep learning's role in interactive theorem proving with Jason Rute of IBM, in a less than 1-hour session by IPAM at UCLA.
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