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...@@ -28,14 +28,14 @@ For each Journal Club, a team member selects one of the top papers from the [rea ...@@ -28,14 +28,14 @@ For each Journal Club, a team member selects one of the top papers from the [rea
The Orga Team is by no means a closed circle, new members are welcome at any time. The Orga Team is by no means a closed circle, new members are welcome at any time.
### The Orga Team and responsibilities ### The Orga Team and responsibilities
* Feb 21, 2022: Susanne Wenzel (INM-1, Big Data Analytics Group) * Mar 21, 2022: Clara Betancourt, Karim Mache, Bing Gong, Scarlet Stadtler (JSC, Earth System Data Exploration Group (ESDE) )
* Mar 21, 2022: __Clara Betancourt__, Karim Mache, Bing Gong, Scarlet Stadtler (JSC, Earth System Data Exploration Group (ESDE) )
* Apr 18, 2022: Tobias Tesch (IBG-3, Agrosphere) * Apr 18, 2022: Tobias Tesch (IBG-3, Agrosphere)
* May 16, 2022: Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL)) * May 16, 2022: Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL))
* Jun 20, 2022: Stefan Kesselheim (JSC, Helmholtz AI Consultant Team) * Jun 20, 2022: Stefan Kesselheim (JSC, Helmholtz AI Consultant Team)
* Summer Break to be decided * Summer Break to be decided
* Hanno Scharr (Data Analytics and Machine Learning, IAS-8) * Hanno Scharr (Data Analytics and Machine Learning, IAS-8)
* Emre Neftci (PGI-15, Neuromorphic Software Ecosystems) * Emre Neftci (PGI-15, Neuromorphic Software Ecosystems)
* Susanne Wenzel (INM-1, Big Data Analytics Group)
### How to select papers ### How to select papers
tbd tbd
...@@ -48,26 +48,23 @@ tbd ...@@ -48,26 +48,23 @@ tbd
Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7) Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
* **From local explanations to global understanding with explainable AI for trees** <br> * **From local explanations to global understanding with explainable AI for trees** <br>
Lundberg et al. (2020), Nature Machine Intelligence, volume 2, pages56–67 (2020) Lundberg et al. (2020), Nature Machine Intelligence, volume 2, pages56–67 (2020)<br>
[[link](https://doi.org/10.1038/s42256-019-0138-9)] [[link](https://doi.org/10.1038/s42256-019-0138-9)]
* Intro: Scarlet Stadtler * Intro: Scarlet Stadtler
* Moderation Bing Gong * Moderation Bing Gong
## Past Meetings
### 21 February 2022 ### 21 February 2022
Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
* **What's Hidden in a Randomly Weighted Neural Network?** (CVPR, 2020)<br> * **What's Hidden in a Randomly Weighted Neural Network?** (CVPR, 2020)<br>
Ramanujan, V., Wortsman, M., Kembhavi, A., Farhadi, A., & Rastegari, M. Ramanujan, V., Wortsman, M., Kembhavi, A., Farhadi, A., & Rastegari, M.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2020).<br> In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2020).<br>
[[link](https://openaccess.thecvf.com/content_CVPR_2020/papers/Ramanujan_Whats_Hidden_in_a_Randomly_Weighted_Neural_Network_CVPR_2020_paper.pdf)] [[paper with appendix](https://arxiv.org/pdf/1911.13299.pdf)] [[link](https://openaccess.thecvf.com/content_CVPR_2020/papers/Ramanujan_Whats_Hidden_in_a_Randomly_Weighted_Neural_Network_CVPR_2020_paper.pdf)] [[paper with appendix](https://arxiv.org/pdf/1911.13299.pdf)]
* Intro: Roshni Kamath * Intro: Roshni Kamath
## Past Meetings
### 17 January 2022 ### 17 January 2022
* **Deep DeclarativeNetworks**<br> * **Deep DeclarativeNetworks**<br>
...@@ -401,4 +398,4 @@ A training schedule using filter pruning and orthogonal reinitialization ...@@ -401,4 +398,4 @@ A training schedule using filter pruning and orthogonal reinitialization
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