Alternating diffusion maps for dementia severity assessment. - Tal Shnitzer; Maya Rapaport; Noga Cohen; Natalya Yarovinsky; Ronen Talmon; Judith Aharon-Peretz (ICASSP, 2017)

Diffusion Maps Kalman Filter. - Tal Shnitzer; Ronen Talmon; Jean-Jacques E. Slotine (CoRR, 2017)

Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis. - Tal Shnitzer; Ronen Talmon; Jean-Jacques E. Slotine (IEEE Trans. Signal Process., 2017)

Diffusion Maps Particle Filter. - Lukas Forster; Alexander Schmidt 004; Walter Kellermann; Tal Shnitzer; Ronen Talmon (EUSIPCO, 2019)

Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators. - Tal Shnitzer; Mirela Ben-Chen; Leonidas J. Guibas; Ronen Talmon; Hau-Tieng Wu (SIAM J. Math. Data Sci., 2019)

Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows. - Tal Shnitzer; Ronen Talmon; Jean-Jacques E. Slotine (IEEE Trans. Signal Process., 2020)

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. - Ya-Wei Eileen Lin; Tal Shnitzer; Ronen Talmon; Franz Villarroel-Espindola; Shruti Desai; Kurt A. Schalper; Yuval Kluger (PLoS Comput. Biol., 2021)

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. - Tal Shnitzer; Mikhail Yurochkin; Kristjan H. Greenewald; Justin M. Solomon (ICML, 2022)

Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. - Tal Shnitzer; Hau-Tieng Wu; Ronen Talmon (CoRR, 2022)

ManiFeSt: Manifold-based Feature Selection for Small Data Sets. - David Cohen; Tal Shnitzer; Yuval Kluger; Ronen Talmon (CoRR, 2022)

Few-Sample Feature Selection via Feature Manifold Learning. - David Cohen; Tal Shnitzer; Yuval Kluger; Ronen Talmon (ICML, 2023)

Large Language Model Routing with Benchmark Datasets. - Tal Shnitzer; Anthony Ou; Mírian Silva; Kate Soule; Yuekai Sun; Justin Solomon 001; Neil Thompson; Mikhail Yurochkin (CoRR, 2023)

GeRA: Label-Efficient Geometrically Regularized Alignment. - Dustin Klebe; Tal Shnitzer; Mikhail Yurochkin; Leonid Karlinsky; Justin Solomon 001 (CoRR, 2023)

MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes. - Avigail Cohen Rimon; Tal Shnitzer; Mirela Ben-Chen (CoRR, 2024)