###### tags: research

# Study Group of Ronen's Lab

:::info
- **Location**: Zoom at the link https://technion.zoom.us/j/95299884176
- **Time**: Thursday 14:00 - 15:00 Jerusalem time
- **Member**: Ido, Amitay, Almog, Ori, Ya-Wei, Yuval, Tamir, Shay, Adi, Emil, Benjamin, Avigail, Itay, David, Pavel, Gal
:::

| Date | Speakers |
|------|------|
|Feb 24| Ido, Ya-Wei|
|Mar 03| Amitay, David|
|Mar 10| Ori, Adi|
|Mar 24| Avigail, Itay|
|Mar 31| Gal, Shay |
|Apr 07| Ya-Wei|
|Apr 14| Emil |
|Apr 28| Adi |
|May 19| David |
|Jun 02| Ya-Wei|
|Jun 09| Ido |
|Jun 16| * Break * |
|Jun 23| Ori |
|Jun 30| Ya-Wei |
|Jul 07| Amitay |
|Jul 14| * Break * |
|Jul 20| Shay |
|Jul 27| Gal |
|Aug 03| Ido |
|Aug 10| David|
|Aug 17| Adi |
|Aug 24| Itay|
|Aug 31| * Break *
|Sep 07| Avigail |

# Research Interest

| Name | Area |
| ------ | --------------------------------------------------------------------------- |
| Ido | Graph signal processing, GNN, Multi-modal data analysis |
| Amitay | Riemannian geometry, Reinforcement learning, Signal processing |
| Almog | Riemannian geometry, Domain adpatation, High-dimensional data analysis |
| Ori | Spectral analysis, Riemannian geometry, Domain daptation, Causal inference |
| Ya-Wei | Hyperbolic geometry in machine learning |
| Yuval | Anomaly Detection, Geometry Learning |
| Tamir | Riemannian geometry, Domain adpatation, Kernel matching |
| Shay | Manifold learning, GNN, Multi-modal analysis, Bioinformatics, ML |
| Adi | Spectral Analysis, Multimodal Data, Speech Recognition|
|Emil | Koopman theory, Dynamic mode decomposition |
|Avigail |Riemannian geometry, Spectral graph theory, Time-series analysis|
|Itay | Classical & Graph Signal Processing, Spectral Analysis, Manifold Learning |
|David | |
|Pavel | |
|Gal | Multi-modal data analysis, Riemannian geometry, Hyperbolic spaces, Domain adpatation |

# Publication Venues
## Journal
* [SIAM Journal on Mathematics of Data Science (SIMODS)](https://www.siam.org/publications/journals/siam-journal-on-mathematics-of-data-science-simods)
* [IEEE Transactions on Signal Processing (TSP)](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=78)
* [IEEE Transactions on Signal and Information Processing over Networks](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6884276)
* [Signal Processing](https://www.sciencedirect.com/journal/signal-processing)
* [Applied and Computational Harmonic Analysis (ACHA)](https://www.journals.elsevier.com/applied-and-computational-harmonic-analysis)
* [Proceedings of the National Academy of Sciences (PNAS)](https://www.pnas.org/)
## Conference
* [International Conference on Learning Representations (ICLR)](https://iclr.cc/)
* Submission time: Around October
* OpenReview
* [Conference on Neural Information Processing Systems (NeurIPS)](https://nips.cc/)
* Submission time: Around May
* OpenReview
* [International Conference on Machine Learning (ICML)](https://icml.cc/)
* Submission time: Around January
* [European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)](https://ecmlpkdd.org/)
* Submission time: Around March
* [International Conference on Acoustics, Speech, and Signal Processing (ICASSP)](https://ieeexplore.ieee.org/xpl/conhome/1000002/all-proceedings)
* Submission time: Around October
* [European Association for Signal Processing (EUSIPCO)](https://ieeexplore.ieee.org/xpl/conhome/1801907/all-proceedings)
* Submission time: Around February/March
* [Conference held by Computer Vision Foundation](https://www.thecvf.com/) and [the list of papers](https://openaccess.thecvf.com/menu)
* Conference on Computer Vision and Pattern Recognition (CVPR)
* International Conference on Computer Vision (ICCV)
* Winter Conference on Applications of Computer Vision (WACV)
* European Conference on Computer Vision (ECCV)

# Feb 24th - Ido and Ya-Wei
## Ido
* Paper: Levie, R., Huang, W., Bucci, L., Bronstein, M. and Kutyniok, G., 2021.[ Transferability of spectral graph convolutional neural networks.](https://arxiv.org/pdf/1907.12972.pdf) Journal of Machine Learning Research, 22(272), pp.1-59.

## Ya-Wei
* Paper:
* López, F., Pozzetti, B., Trettel, S., Strube, M. and Wienhard, A., 2021. [Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices.](https://openreview.net/pdf?id=9uXILaIam0) Advances in Neural Information Processing Systems, 34
* Di Giovanni, F., Luise, G. and Bronstein, M., 2022. [Heterogeneous manifolds for curvature-aware graph embedding](https://arxiv.org/pdf/2202.01185.pdf). arXiv preprint arXiv:2202.01185.
* [Notion Note](https://ya-wei.notion.site/24-02-2022-53a8b4df16774b098d9d05b364a4381e)

# Mar 3rd - David and Amitay
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=01baf42f-bc6a-481b-87b7-ae4d00e139f7)

## David
* https://arxiv.org/pdf/2201.08530.pdf

## Amitay
* https://arxiv.org/pdf/1803.00195.pdf
* https://arxiv.org/pdf/1904.13016.pdf

# Mar 10th - Ori and Adi
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=5de4822e-e02b-4871-9d40-ae5400e1f333)
## Ori
* Supervised domain adaptation
* [A theory of learning from different domains](https://www.alexkulesza.com/pubs/adapt_mlj10.pdf)
* [Unified Deep Supervised Domain Adaptation and Generalization](https://openaccess.thecvf.com/content_ICCV_2017/papers/Motiian_Unified_Deep_Supervised_ICCV_2017_paper.pdf)
* [Few-Shot Adversarial Domain Adaptation](https://arxiv.org/pdf/1711.02536.pdf)
* [Domain-Adaptive Few-Shot Learning](https://openaccess.thecvf.com/content/WACV2021/papers/Zhao_Domain-Adaptive_Few-Shot_Learning_WACV_2021_paper.pdf)

* Causality:
* [Toward Causal Representation Learning](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9363924)
* [Causal discovery and inference:concepts and recent methodological advances](https://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-016-0018-x.pdf)
* [Ordinal Causal Discovery](https://arxiv.org/pdf/2201.07396.pdf)
* [Causal Inference on Discrete Data Using Additive Noise Models](https://arxiv.org/pdf/0911.0280.pdf)
* [Causal Inference on Discrete Data via Estimating Distance Correlations](https://arxiv.org/pdf/1803.07712.pdf)

## Adi

* Holomorphic and spectral analysis fot Multimodal Data Kernel Interpolations - Draft
* [My Presentation](https://technionmail-my.sharepoint.com/:p:/g/personal/adi_arbel_campus_technion_ac_il/Ef6OM6CzLDBChjwznppAElUBxdgv_4PX9wCEoPcNMfku6g?e=vurPru)
* Supplementary
* [Refined Heinz-Kato-Löwner inequalities by Stefan Steinerberger ](https://arxiv.org/abs/1608.05050)
* [Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing](https://arxiv.org/abs/2009.08062)
* [Functions Harmonic in a Strip](https://www.jstor.org/stable/2034126)

# Mar 24th - Avigail and Itay
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=91d4e6ac-bbbb-4b8e-a0d5-ae6200e6a958)
## Avigail
* De Domenico, M. and Biamonte, J., 2016. [Spectral entropies as information-theoretic tools for complex network comparison.](https://journals.aps.org/prx/pdf/10.1103/PhysRevX.6.041062) Physical Review X, 6(4), p.041062.
## Itay

* [slide](https://drive.google.com/file/d/1TwPNqkmrSPWKNqz-iznJOASopsC0wVNa/view?usp=sharing)

# Mar 31st - Gal and Shay
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=19386a2a-3e99-4636-b0c4-ae6900da2d1b)

## Gal
* [Slides](https://technionmail-my.sharepoint.com/:p:/g/personal/gmaman_campus_technion_ac_il/EZQv6q3aPBdFiyV2gOClI5gBThLKQLfgz1gS6c27DvNYuw?e=0b4Cmb)
* Papers:
* [Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing](https://arxiv.org/pdf/2009.08062.pdf)
* [Spectral Discovery of Jointly Smooth Features for Multimodal Data](https://arxiv.org/pdf/2004.04386.pdf)
* [A Common Variable Minimax Theorem for Graphs](https://arxiv.org/pdf/2107.14747.pdf)
## Shay

# April 7th - Ya-Wei
* [Slides - Intro to Group Theory](https://www.dropbox.com/s/njqjjr2cg0f0k3b/0704%20-%20Group%20Theory.pdf?dl=0)
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=acb630a8-eddd-4a73-b8bb-ae7000ccbb72)
* Nice resource
* [awesome-equivariant-network: Paper list for equivariant neural network](https://github.com/Chen-Cai-OSU/awesome-equivariant-network)
* [Geometric Deep Learning - GNN beyond permutation equivariance](https://petar-v.com/talks/5G-CS224W.pdf)

# April 14th - Emil

* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=bb93ca5b-ca16-4167-bdcf-ae7700caa36c)

[Slides - Structure of delay-coordinates DMD](https://www.dropbox.com/scl/fi/ir7l46bpey11kffophvnl/sdcDMD3.pptx?dl=0&rlkey=znrve2os1d1zugshnaaqua74k)

# April 28th - Adi
Low-rank Kernel Learning for Graph-based Clustering by Kang et al.

* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=ac129180-35db-40e3-8e63-ae8500c870e8)
* [Slides](https://technionmail-my.sharepoint.com/:p:/g/personal/adi_arbel_campus_technion_ac_il/EThl9388JY1HjzKFfCJhAGoBMcqj83IuKJWi7iNfa0dUxQ?e=1EOLaT)
* [Original Paper](https://arxiv.org/abs/1903.05962)

# May 19th - David
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=77d844b4-4ef7-4c1f-b317-ae9a00d3cd9d)

# June 2nd - Ya-Wei
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=173f0f85-5807-482f-9a04-aea800cabfca)
* Shnitzer, T., Yurochkin, M., Greenewald, K. and Solomon, J., 2022. [Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. ](https://arxiv.org/abs/2202.01671) arXiv preprint arXiv:2202.01671.

# June 9th - Ido
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c9fedd9e-655a-4f7a-8cd6-aeaf00b956c3)

# June 23rd - Ori
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=bebf60bc-e361-42ef-8daa-aebd00e0a03c)

# June 30th - Ya-Wei
* [Recording](https://panoptotech.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=4cb8edac-43ce-44e9-9df4-aec400ca1b2d)

# July 27th - Gal
* [Slides](https://technionmail-my.sharepoint.com/:p:/g/personal/gmaman_campus_technion_ac_il/EREgHN3u-w1IgGZ3NlhScdwBu5ZWBq8wJ1ejSh5o5tYIcg?e=LmXaGo)

# August 18th - Adi

* [Slides](https://technionmail-my.sharepoint.com/:b:/g/personal/adi_arbel_campus_technion_ac_il/ETMSmMOafA9DsCzigKgQFNIBcDFRc1grQqHl178YJiJMnA?e=M2cDQ8)
* [Recording](https://technion.zoom.us/rec/share/YdUtkfqDovYbB6C3g72rgnNkBd12P34CzxP4euDkkIakVxwtZfYiUGXi58PIcfpY.F1xB9xMSXYwVj52h)
* Note: Discussion was presented in Hebrew