Tal Shnitzer

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Nonlinear Dimensionality Reduction

Laplacian Eigenmaps

Manifold Learning

Top Venues

IEEE Trans. Signal Process.

SIAM J. Math. Data Sci.

Publications

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
Few-Sample Feature Selection via Feature Manifold Learning. ICML (2023)
Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin
Large Language Model Routing with Benchmark Datasets. CoRR (2023)
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon
GeRA: Label-Efficient Geometrically Regularized Alignment. CoRR (2023)
Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. CoRR (2022)
Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon
Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. CoRR (2022)
Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. ICML (2022)
David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
ManiFeSt: Manifold-based Feature Selection for Small Data Sets. CoRR (2022)
Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger
Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. PLoS Comput. Biol. 17 (3) (2021)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows. IEEE Trans. Signal Process. 68 (2020)
Tal Shnitzer, Mirela Ben-Chen, Leonidas J. Guibas, Ronen Talmon, Hau-Tieng Wu
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators. SIAM J. Math. Data Sci. 1 (3) (2019)
Lukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer, Ronen Talmon
Diffusion Maps Particle Filter. EUSIPCO (2019)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Diffusion Maps Kalman Filter. CoRR (2017)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis. IEEE Trans. Signal Process. 65 (4) (2017)
Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz
Alternating diffusion maps for dementia severity assessment. ICASSP (2017)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Manifold Learning with Contracting Observers for Data-driven Time-series Analysis. CoRR (2016)