1 citations · 1 across the 3 of their papers we have counts for
4 papers
Langevin Flow Maps: Efficient Molecular Dynamics and Transition Path Sampling
Sam McCallum, Niklas Rindtorff, Alexander Tong +1
Molecular dynamics simulations proceed by integrating the Langevin equations over many small femtosecond timesteps. This poses a challenge for estimating ensemble properties and tr…
Strong Stochastic Flow Maps
Sam McCallum, Zander W. Blasingame, Timothy Herschell +3
Flow and diffusion models generate high-quality samples in many modalities; however, many network evaluations are required during inference due to numerical integration of an under…
Reversible Deep Equilibrium Models
Sam McCallum, Kamran Arora, James Foster
Deep Equilibrium Models (DEQs) are an interesting class of implicit model where the model output is implicitly defined as the fixed point of a learned function. These models have b…
Efficient, Accurate and Stable Gradients for Neural ODEs
Sam McCallum, James Foster
Training Neural ODEs requires backpropagating through an ODE solve. The state-of-the-art backpropagation method is recursive checkpointing that balances recomputation with memory c…