Solar Array Power Prediction for Near-Space Vehicles Based on a Hybrid Method. - Yang Gao; Guoning Xu; Sheng Wang; Yongxiang Li; Rong Cai; Zhaojie Li; Yanchu Yang; Yanlei Zhang (IEEE Access, 2022)

Neural FIM for learning Fisher information metrics from point cloud data. - Oluwadamilola Fasina; Guillaume Huguet; Alexander Tong 001; Yanlei Zhang; Guy Wolf; Maximilian Nickel; Ian Adelstein; Smita Krishnaswamy (ICML, 2023)

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. - Guillaume Huguet; Alexander Tong 001; Edward De Brouwer; Yanlei Zhang; Guy Wolf; Ian Adelstein; Smita Krishnaswamy (NeurIPS, 2023)

Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport. - Alexander Tong 001; Nikolay Malkin; Guillaume Huguet; Yanlei Zhang; Jarrid Rector-Brooks; Kilian Fatras; Guy Wolf; Yoshua Bengio (CoRR, 2023)

Graph topological property recovery with heat and wave dynamics-based features on graphs. - Dhananjay Bhaskar; Yanlei Zhang; Charles Xu 004; Xingzhi Sun 003; Oluwadamilola Fasina; Guy Wolf; Maximilian Nickel; Michael Perlmutter; Smita Krishnaswamy (CoRR, 2023)

Simulation-Free Schrödinger Bridges via Score and Flow Matching. - Alexander Tong 001; Nikolay Malkin; Kilian Fatras; Lazar Atanackovic; Yanlei Zhang; Guillaume Huguet; Guy Wolf; Yoshua Bengio (AISTATS, 2024)

Divide and Conquer: Isolating Normal-Abnormal Attributes in Knowledge Graph-Enhanced Radiology Report Generation. - Xiao Liang; Yanlei Zhang; Di Wang 011; Haodi Zhong; Ronghan Li; Quan Wang 006 (ACM Multimedia, 2024)

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. - Xingzhi Sun 003; Danqi Liao; Kincaid MacDonald; Yanlei Zhang; Chen Liu 020; Guillaume Huguet; Guy Wolf; Ian Adelstein; Tim G. J. Rudner; Smita Krishnaswamy (CoRR, 2024)

Exploring the Manifold of Neural Networks Using Diffusion Geometry. - Elliott Abel; Peyton Crevasse; Yvan Grinspan; Selma Mazioud; Folu Ogundipe; Kristof Reimann; Ellie Schueler; Andrew J. Steindl; Ellen Zhang; Dhananjay Bhaskar; Siddharth Viswanath; Yanlei Zhang; et al. (CoRR, 2024)

Improving and generalizing flow-based generative models with minibatch optimal transport. - Alexander Tong 001; Kilian Fatras; Nikolay Malkin; Guillaume Huguet; Yanlei Zhang; Jarrid Rector-Brooks; Guy Wolf; Yoshua Bengio (Trans. Mach. Learn. Res., 2024)

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. - Xingzhi Sun 003; Danqi Liao; Kincaid MacDonald; Yanlei Zhang; Guillaume Huguet; Guy Wolf; Ian Adelstein; Tim G. J. Rudner; Smita Krishnaswamy (AISTATS, 2025)

Principal Curvatures Estimation with Applications to Single Cell Data. - Yanlei Zhang; Lydia Mezrag; Xingzhi Sun 003; Charles Xu 004; Kincaid MacDonald; Dhananjay Bhaskar; Smita Krishnaswamy; Guy Wolf; Bastian Rieck (ICASSP, 2025)

AdaFisher: Adaptive Second Order Optimization via Fisher Information. - Damien Martins Gomes; Yanlei Zhang; Eugene Belilovsky; Guy Wolf; Mahdi S. Hosseini (ICLR, 2025)

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics. - Siddharth Viswanath; Rahul Singh; Yanlei Zhang; J. Adam Noah; Joy Hirsch; Smita Krishnaswamy (CoRR, 2025)