Koes, David

4 publications

NeurIPS 2025 BoltzNCE: Learning Likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation Rishal Aggarwal, Jacky Chen, Nicholas Matthew Boffi, David Koes

ICMLW 2024 Accelerating NCE Convergence with Adaptive Normalizing Constant Computation Anish Sevekari, Rishal Aggarwal, Maria Chikina, David Koes

NeurIPSW 2023 Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure Ian Dunn, David Koes

CVPR 2001 Precise Omnidirectional Camera Calibration Dennis Strelow, Jeffrey Mishler, David Koes, Sanjiv Singh