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Publications

For the most up to date list of publications see my Google Scholar

2026

  1. arXiv
    Path-independent Flow Matching for Multi-parameter Generative Dynamics
    Francisco Téllez, AmirHossein Zamani, Philippe Martin, Shuang Ni, Guy Wolf, Eugene Belilovsky, Sina Sanjari, and Yanlei Zhang
    2026
    arXiv HTML
  2. arXiv
    MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data
    Xingzhi Sun, João Felipe Rocha, Brett Phelan, Dhananjay Bhaskar, Guillaume Huguet, Yanlei Zhang, Alexander Tong, Ke Xu, Oluwadamilola Fasina, Mark Gerstein, Natalia Ivanova, Christine L. Chaffer, Guy Wolf, and Smita Krishnaswamy
    2026
    arXiv HTML

2025

  1. ICLR
    AdaFisher: Adaptive Second Order Optimization via Fisher Information
    Daniel M. Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, and Mahdi S. Hosseini
    In International Conference on Learning Representations , 2025
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  2. AISTATS
    Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
    Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, and Smita Krishnaswamy
    In International Conference on Artificial Intelligence and Statistics , 2025
    arXiv
  3. ICASSP
    Principal Curvatures Estimation with Applications to Single Cell Data
    Yanlei Zhang, Léo Mezrag, Xingzhi Sun, Chuangqi Xu, Kincaid Macdonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, and Bastian Rieck
    In IEEE International Conference on Acoustics, Speech and Signal Processing , 2025
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  4. Front. Psych.
    Deep Multimodal Representations and Classification of First-Episode Psychosis via Live Face Processing
    Rohan Singh, Yanlei Zhang, Dhananjay Bhaskar, Vinod Srihari, Cenk Tek, Xiaodong Zhang, J. Adam Noah, Smita Krishnaswamy, and Joy Hirsch
    Frontiers in Psychiatry, 2025
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  5. IEEE TPAMI
    Neural FIM: Bridging Statistical Manifolds and Generative Modeling through Fisher Geometry
    Yanlei Zhang, Guillaume Huguet, Edward De Brouwer, Oluwaseun Fasina, Alexander Tong, Ricky T. Q. Chen, Guy Wolf, Maximilian Nickel, Ian Adelstein, and Smita Krishnaswamy
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
    Under Review
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  6. Preprint
    BDN: Blaschke Decomposition Networks
    Yanlei Zhang, Daniel Gomes, Chen Liu, Ronald Coifman, Michael Perlmutter, Guy Wolf, Smita Krishnaswamy, and Dhananjay Bhaskar
    TechRxiv Preprint, 2025
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  7. Nat. Comp. Sci.
    Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
    Dhananjay Bhaskar, Yanlei Zhang, Jason Moore, Feng Gao, Bastian Rieck, Guy Wolf, Firas Khasawneh, Elizabeth Munch, J. Adam Noah, Helen Pushkarskaya, Christopher Pittenger, Valentina Greco, and Smita Krishnaswamy
    Nature Computational Science, 2025
    Under Review
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  8. NeurIPS
    SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics
    Sriram Viswanath, Rohan Singh, Yanlei Zhang, J. Adam Noah, Joy Hirsch, and Smita Krishnaswamy
    Advances in Neural Information Processing Systems, 2025
    Submitted
    arXiv
  9. NeurIPS
    Graph Topological Property Recovery with Heat and Wave Dynamics-Based Features on Graphs
    Dhananjay Bhaskar, Yanlei Zhang, Chuangqi Xu, Xingzhi Sun, Oluwaseun Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, and Smita Krishnaswamy
    Advances in Neural Information Processing Systems, 2025
    Submitted
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2023

  1. NeurIPS
    A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
    Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, and Smita Krishnaswamy
    In Advances in Neural Information Processing Systems , 2023
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  2. ICML
    Neural FIM for Learning Fisher Information Metrics from Point Cloud Data
    Oluwaseun Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, and Smita Krishnaswamy
    In International Conference on Machine Learning , 2023
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  3. AISTATS
    Simulation-Free Schrödinger Bridges via Score and Flow Matching
    Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, and Yoshua Bengio
    In International Conference on Artificial Intelligence and Statistics , 2023
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  4. TMLR
    Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport
    Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, and Yoshua Bengio
    Transactions on Machine Learning Research, 2023
    arXiv
  5. arXiv
    Topologies for Geometric Flows and Continuous Dependence on Parameters
    Andrew Lewis, and Yanlei Zhang
    arXiv preprint, 2023
    arXiv

2022

  1. arXiv
    The Exponential Map for Time-Varying Vector Fields
    Yanlei Zhang
    arXiv preprint, 2022
    arXiv

2021

  1. Mathematics
    Nonlinear Spectrum and Fixed Point Index for a Class of Decomposable Operators
    Shugui Kang, Yanlei Zhang, and Wenying Feng
    Mathematics, 2021
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2020

  1. EJQTDE
    Positive Solutions for Second-Order Differential Equations with Singularities and Separated Integral Boundary Conditions
    Yanlei Zhang, Wenying Feng, and Kenzu Abdella
    Electronic Journal of Qualitative Theory of Differential Equations, 2020
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