* denotes equal contribution
Bhaskar, D.*, Zhang, Y*., Moore, J.*, Gao, F., Rieck, B., Wolf, Khasawneh, F., Munch, E., Noah, J. Adam, Pushkarskaya, H., Pittenger, C., Greco, V., Krishnaswamy, S. (2024). "Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity", bioRxiv, DOI: 10.1101/2023.03.22.533807, (Nature Computational Science (Under Review), 2025, pdf).
Singh, R., Zhang, Y., Bhaskar, D., Srihari, V., Tek, C., Zhang, X., Noah, J. A., Krishnaswamy, S., and Hirsch, J. "Deep Multimodal Representations and Classification of First-Episode Psychosis via Live Face Processing", Frontiers in Psychiatry Schizophrenia, 2025 (pdf).
Zhang, Y., Mezrag, L., Sun, X., Xu, C., Macdonald, K., Bhaskar, D., Krishnaswamy, S., Wolf, G., Rieck, B. "Principal Curvatures Estimation with Applications to Single Cell Data", The 50th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025, (pdf).
Viswanath, S., Singh, R., Zhang, Y., J Adam Noah, Joy Hirsch, Smita Krishnaswamy. "SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics", arXiv preprint arXiv:2506.16602, 2025 (Submitted to NeurIPS 2025, pdf)
Gomes, D. M., Zhang, Y., Belilovsky, E., Wolf, G., and Hosseini, M. S. "AdaFisher: Adaptive Second Order Optimization via Fisher Information", The Thirteenth International Conference on Learning Representations (ICLR), 2025. (Accepted, pdf)
Sun, X., Liao, D., MacDonald, K., Zhang, Y., Liu, C., Huguet, G., Wolf, G., Adelstein, I., Rudner, T. G. J., and Krishnaswamy, S. "Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds", International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. (Accepted, pdf)
Bhaskar*, D., Zhang*, Y., Xu*, C., Sun, X., Fasina, O., Wolf, G., Nickel, M., Perlmutter, M., and Krishnaswamy, "Graph Topological Property Recovery with Heat and Wave Dynamics-based Features on Graphs" (submitted to NeurIPS 2025, pdf)
Zhang, Y., Huguet, G., Brouwer, E.D., Fasina, O., Tong, A., Ricky T. Q. Chen, Wolf, G., Nickel, M., Adelstein, I., Smita Krishnaswamy. “Neural FIM for learning Fisher information metrics from point cloud data”, September, 2025. (Journal Version, submitted to IEEE TPAMI)
Fasina, O., Huguet, G., Tong, A., Zhang, Y., Wolf, G., Nickel, M., Adelstein, I., and Krishnaswamy, S., "Neural FIM for learning Fisher information metrics from point cloud data", International Conference on Machine Learning (ICML), 2023. (Conference Paper, pdf)
Huguet, G., Tong, A., Brouwer, E. D., Zhang, Y., Wolf, G., Adelstein, I., and Krishnaswamy, S., "A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction", Neural Information Processing Systems (NeurIPS), 2023. (pdf)
(Conference Paper) Bhaskar, D., MacDonald, K., Fasina, O., Thomas, D., Rieck, B., Adelstein, I., and Krishnaswamy, S. "Diffusion Curvature for Estimating Local Curvature in High Dimensional Data", Neural Information Processing Systems (NeurIPS), 2022.
(Journal Version) MacDonald, K., Bhaskar, D., Zhang, Y., Ian Adelstein, Smita Krishnaswamy. “Diffusion Curvature for Estimating Local Curvature in High Dimensional Data” .
Tong, A., Malkin, N., Fatras, K., Atanackovic, L., Zhang, Y., Huguet, G., Wolf, G., and Bengio, Y. "Simulation-free Schrödinger bridges via score and flow matching", International Conference on Artificial Intelligence and Statistics (AISTATS), 2023. (pdf)
Tong, A., Malkin, N., Huguet, G., Zhang, Y., Rector-Brooks, J., FATRAS, K., Wolf, G., and Bengio, Y., "Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport", Presented in Frontiers4LCD Workshop @ ICML, 2023. (pdf)
Tong, A., Malkin, N., Huguet, G., Zhang, Y., Rector-Brooks, J., FATRAS, K., Wolf, G., and Bengio, Y. "Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport", Transactions on Machine Learning Research (TMLR), 2023. (pdf).
Lewis, A., and Zhang, Y., ''Topologies for geometric flows and continuous dependence on parameters'', (Submitted to EJDE), 2023. (pdf)
Zhang, Y., ''The exponential map for time-varying vector fields'', (pdf), 2022.
Zhang, Y., Feng, W., and Abdella, K., "Positive solutions for second-order differential equations with singularities and separated integral boundary conditions", Electron J. Qual. Theory of Differ. Equ., no. 75, pp. 1–12, 2020. (pdf)
Kang, S., Zhang, Y., and Feng, W., "Nonlinear Spectrum and Fixed Point Index for a Class of Decomposable Operators", Mathematics, vol. 9, no. 3, 2021. (pdf)