Aaron J Havens

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks

Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations