Invited Speakers
Patrick Heimbach
"Learning from Data through the Lens of Ocean Models, Surrogates, and their Derivatives"
Sergey Ovchinnikov
"Differentiable Programming for Protein Sequences and Structure"
Adam Paszke
"Parallel-friendly Automatic Differentiation in Dex and JAX"
Harshitha Menon
"Approximate High Performance Computing Guided by Automatic Differentiation"
Frank Noe
"Differentiabe Programming in Molecular Physics"
Karen Liu
"Learnable Physics Models"
Yuan Zhou
"SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis"
Keno Fischer
"Diffractor.jl: High Level, High Performance AD for Julia"
