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1

Learning Random Feature Dynamics for Uncertainty Quantifica..:

, In: 2022 IEEE 61st Conference on Decision and Control (CDC),

Agudelo-Espana, Diego ; Nemmour, Yassine ; Scholkopf, Bernhard. - p. 4937-4944 , 2022

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

2

Maximum Mean Discrepancy Distributionally Robust Nonlinear ..:

, In: 2022 IEEE 61st Conference on Decision and Control (CDC),

Nemmour, Yassine ; Kremer, Heiner ; Scholkopf, Bernhard. - p. 5660-5667 , 2022

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

3

Reliable Real-Time Ball Tracking for Robot Table Tennis:

Gomez-Gonzalez, Sebastian ; Nemmour, Yassine ; Schölkopf, Bernhard.
Robotics. 8 (2019) 4 - p. 90 , 2019

Link: https://doi.org/10.3390/..

4

Estimation Beyond Data Reweighting: Kernel Method of Moment:

Kremer, Heiner ; Nemmour, Yassine ; Schölkopf, Bernhard.
http://arxiv.org/abs/2305.10898. , 2023

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

5

Reliable Real-Time Ball Tracking for Robot Table Tennis:

Gomez-Gonzalez, Sebastian ; Nemmour, Yassine ; Schölkopf, Bernhard.
https://tuprints.ulb.tu-darmstadt.de/15740/1/robotics-08-00090-v2.pdf. , 2022

Link: http://tuprints.ulb.tu-d..

6

Maximum Mean Discrepancy Distributionally Robust Nonlinear ..:

Nemmour, Yassine ; Kremer, Heiner ; Schölkopf, Bernhard.
http://arxiv.org/abs/2204.11564. , 2022

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

7

Shallow Representation is Deep: Learning Uncertainty-aware ..:

Agudelo-España, Diego ; Nemmour, Yassine ; Schölkopf, Bernhard.
http://arxiv.org/abs/2106.13066. , 2021

Link: http://arxiv.org/abs/210..

8

Adversarially Robust Kernel Smoothing:

Zhu, Jia-Jie ; Kouridi, Christina ; Nemmour, Yassine.
http://arxiv.org/abs/2102.08474. , 2021

Link: http://arxiv.org/abs/210..

9

Distributional Robustness Regularized Scenario Optimization..:

Nemmour, Yassine ; Schölkopf, Bernhard ; Zhu, Jia-Jie
http://arxiv.org/abs/2110.13588. , 2021

Link: http://arxiv.org/abs/211..

10

Reliable Real Time Ball Tracking for Robot Table Tennis:

Gomez-Gonzalez, Sebastian ; Nemmour, Yassine ; Schölkopf, Bernhard.
http://arxiv.org/abs/1908.07332. , 2019

Link: http://arxiv.org/abs/190..

11

Maximum mean discrepancy distributionally robust nonlinear ..:

Yassine, Nemmour ; Heiner, Kremer ; Bernhard, Schölkopf.
https://doi.org/10.48550/arXiv.2204.11564. , 2022

Link: https://doi.org/10.48550..

12

Distributional robustness regularized scenario optimization..:

Yassine, Nemmour ; Bernhard, Schölkopf ; Jia-Jie, Zhu
https://doi.org/10.48550/arXiv.2110.13588. , 2021

Link: https://doi.org/10.48550..

13

Shallow representation is deep: Learning uncertainty-aware ..:

Diego, Agudelo-España ; Yassine, Nemmour ; Bernhard, Schölkopf.
https://doi.org/10.48550/arXiv.2106.13066. , 2021

Link: https://doi.org/10.48550..

14

Adversarially robust kernel smoothing:

Jia-Jie, Zhu ; Christina, Kouridi ; Yassine, Nemmour.
https://doi.org/10.48550/arXiv.2102.08474. , 2021

Link: https://doi.org/10.48550..

15

Reliable Real-Time Ball Tracking for Robot Table Tennis:

Sebastian Gomez-Gonzalez ; Yassine Nemmour ; Bernhard Schölkopf.
https://www.mdpi.com/2218-6581/8/4/90. , 2019

Link: https://doi.org/10.3390/..

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