E-LIB Suche - Ergebnisse für: Shnitzer, Tal

1

Spatiotemporal analysis using Riemannian composition of dif..:

Shnitzer, Tal ; Wu, Hau-Tieng ; Talmon, Ronen
Applied and Computational Harmonic Analysis. 68 (2024) - p. 101583 , 2024

Link: https://doi.org/10.1016/..

2

Graph of graphs analysis for multiplexed data with applicat..:

Lin, Ya-Wei Eileen ; Shnitzer, Tal ; Talmon, Ronen...
PLOS Computational Biology. 17 (2021) 3 - p. e1008741 , 2021

Link: https://doi.org/10.1371/..

3

Manifold Learning for Data-Driven Dynamical System Analysis:

, In: Lecture Notes in Control and Information Sciences; The Koopman Operator in Systems and Control,

Shnitzer, Tal ; Talmon, Ronen ; Slotine, Jean-Jacques - p. 359-382 , 2020

Link: https://doi.org/10.1007/..

4

Diffusion Maps Kalman Filter for a Class of Systems With Gr..:

Shnitzer, Tal ; Talmon, Ronen ; Slotine, Jean-Jacques
IEEE Transactions on Signal Processing. 68 (2020) - p. 2739-2753 , 2020

Link: https://doi.org/10.1109/..

5

Recovering Hidden Components in Multimodal Data with Compos..:

Shnitzer, Tal ; Ben-Chen, Mirela ; Guibas, Leonidas..
SIAM Journal on Mathematics of Data Science. 1 (2019) 3 - p. 588-616 , 2019

Link: https://doi.org/10.1137/..

6

Layer‐ and Cell‐Specific Recruitment Dynamics during Epilep..:

Aeed, Fadi ; Shnitzer, Tal ; Talmon, Ronen.
Annals of Neurology. 87 (2019) 1 - p. 97-115 , 2019

Link: https://doi.org/10.1002/..

7

Diffusion Maps Particle Filter:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),

Forster, Lukas ; Schmidt, Alexander ; Kellermann, Walter.. - p. 1-5 , 2019

Link: https://doi.org/10.23919..

8

EEG-based geometric modeling and analysis of cognitive dete..:

Shnitzer, Tal ; Yarovinsky, Natalya ; Talmon, Ronen.
Neurology. 88 (2017) 16_supplement - p. , 2017

Link: https://doi.org/10.1212/..

9

Large Language Model Routing with Benchmark Datasets:

Shnitzer, Tal ; Ou, Anthony ; Silva, Mírian...
http://arxiv.org/abs/2309.15789. , 2023

Link: http://arxiv.org/abs/230..

10

GeRA: Label-Efficient Geometrically Regularized Alignment:

Klebe, Dustin ; Shnitzer, Tal ; Yurochkin, Mikhail..
http://arxiv.org/abs/2310.00672. , 2023

Link: http://arxiv.org/abs/231..

11

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

Cohen, David ; Shnitzer, Tal ; Kluger, Yuval.
http://arxiv.org/abs/2207.08574. , 2022

Link: http://arxiv.org/abs/220..

12

Log-Euclidean Signatures for Intrinsic Distances Between Un..:

Shnitzer, Tal ; Yurochkin, Mikhail ; Greenewald, Kristjan.
http://arxiv.org/abs/2202.01671. , 2022

Link: http://arxiv.org/abs/220..

13

Spatiotemporal Analysis Using Riemannian Composition of Dif..:

Shnitzer, Tal ; Wu, Hau-Tieng ; Talmon, Ronen
http://arxiv.org/abs/2201.08530. , 2022

Link: http://arxiv.org/abs/220..

14

Diffusion Maps Kalman Filter for a Class of Systems with Gr..:

Shnitzer, Tal ; Talmon, Ronen ; Slotine, Jean-Jacques
10.1109/TSP.2020.2987750. , 2020

Link: https://hdl.handle.net/1..

15

Manifold Learning With Contracting Observers for Data-Drive..:

Shnitzer, Tal ; Talmon, Ronen ; Slotine, Jean-Jacques
http://dx.doi.org/10.1109/TSP.2016.2616334. , 2019

Link: https://hdl.handle.net/1..