Tal Shnitzer

According to our database, Tal Shnitzer authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes.

Avigail Cohen Rimon, Tal Shnitzer, Mirela Ben-Chen

CoRR, 2024

2023

GeRA: Label-Efficient Geometrically Regularized Alignment.

Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon

CoRR, 2023

Large Language Model Routing with Benchmark Datasets.

Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin

CoRR, 2023

Few-Sample Feature Selection via Feature Manifold Learning.

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon

Proceedings of the International Conference on Machine Learning, 2023

2022

ManiFeSt: Manifold-based Feature Selection for Small Data Sets.

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon

CoRR, 2022

Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators.

Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon

CoRR, 2022

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets.

Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon

Proceedings of the International Conference on Machine Learning, 2022

2021

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

2020

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

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 Particle Filter.

Lukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer, Ronen Talmon

Proceedings of the 27th European Signal Processing Conference, 2019

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 Kalman Filter.

Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine

CoRR, 2017

Alternating diffusion maps for dementia severity assessment.

Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017