9 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Learning to Compile Programs to Neural Networks
Logan Weber, Jesse Michel, Alex Renda +1
A is a neural network that mimics the behavior of a program. Researchers have used these neural surrogates to automatically tune program in…
cs.PL2020★ 8 cited
: Computable Semantics for Differentiable Programming with Higher-Order Functions and Datatypes
Benjamin Sherman, Jesse Michel, Michael Carbin
Deep learning is moving towards increasingly sophisticated optimization objectives that employ higher-order functions, such as integration, continuous optimization, and root-findin…
cs.SI2018★ 9 cited
Directed Random Geometric Graphs
Jesse Michel, Sushruth Reddy, Rikhav Shah +2
Many real-world networks are intrinsically directed. Such networks include activation of genes, hyperlinks on the internet, and the network of followers on Twitter among many other…