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publications
Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling
Published in Under review, 2025
We introduce a Koopman operator framework for linearizing Continuous Normalizing Flows, enabling one-step and interpretable sampling for generative models.
Recommended citation: Erkan Turan, Ari Siozopoulos, Louis Martinez, Julien Gaubil, Emery Pierson, and Maks Ovsjanikov. (2025). *Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling.* Preprint, under review.
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Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
Published in Under review, 2025
We introduce a dual-pass spectral encoder and latent-space communication framework for unsupervised graph alignment, achieving state-of-the-art robustness and generalization to cross-modal tasks.
Recommended citation: Maysam Behmanesh, Erkan Turan, and Maks Ovsjanikov. (2025). *Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication.* Preprint, under review.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Physics Examiner
Preparatory Classes, Ministère de l'Éducation nationale, 2020
Physics Examiner, Ministère de l’Éducation nationale
(September 2020 – April 2021, Paris, France)
CSC_53431_EP – Analysis and Deep Learning on Geometric Data
Graduate course, École Polytechnique, 2024
Teaching Assistant, École Polytechnique
(Fall 2024, Master’s course)