3 papers
cs.DC2026
PopPy: Opportunistically Exploiting Parallelism in Python Agentic Workflows
Stephen Mell, David Mell, Konstantinos Kallas +4
Agentic workflows, which compose calls to ML models using a general-purpose programming language like Python, are widely used for a variety of user-facing tasks, from software engi…
cs.LG2025
Compiling to linear neurons
Joey Velez-Ginorio, Nada Amin, Konrad Kording +1
We don't program neural networks directly. Instead, we rely on an indirect style where learning algorithms, like gradient descent, determine a neural network's function by learning…
cs.PL2025
Compiling to recurrent neurons
Joey Velez-Ginorio, Nada Amin, Konrad Kording +1
Discrete structures are currently second-class in differentiable programming. Since functions over discrete structures lack overt derivatives, differentiable programs do not differ…