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description: "I am interesting in making modern AI models efficient. In particular, I work on discovering and exploiting structure in Neural Networks (sparsity, low-dimensional representations and similar) for efficient training, fine-tuning and inference. I am a former full-time core developer for [PyTorch](https://github.com/pytorch/pytorch) and [Lightning Thunder](https://github.com/Lightning-AI/lightning-thunder). Check my [GitHub](https://github.com/nikitaved) to see what I work on now."
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next: Senior Engineer at NVIDIA
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- role: Research assistants
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members:
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- name: Ben Horvath
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last_name: Horvath
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start_date: May 25
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end_date: ongoing
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email: ben.horvath@cispa.de
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- name: Adarsh Jamadandi
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last_name: Jamadandi
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photo: c01adja.jpg
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start_date: Aug 23
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end_date: Jul 24
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url: https://nelaturuharsha.github.io/
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next: [Applied Scientist Intern Amazon, PhD at Calgary University]
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next: Applied Scientist Intern at Amazon
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- role: Research engineers
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members:
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- name: Nikita (Nik) Vedeneev
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last_name: Vedeneev
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photo: c01mive.jpg
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start_date: Dec 24
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end_date: May 25
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email: mikita.vedzeneyeu@cispa.de
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url: https://github.com/nikitaved
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description: "I am interesting in making modern AI models efficient. In particular, I work on discovering and exploiting structure in Neural Networks (sparsity, low-dimensional representations and similar) for efficient training, fine-tuning and inference. I am a former full-time core developer for [PyTorch](https://github.com/pytorch/pytorch) and [Lightning Thunder](https://github.com/Lightning-AI/lightning-thunder). Check my [GitHub](https://github.com/nikitaved) to see what I work on now."
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next: Senior Engineer at NVIDIA
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- name: Advait Athreya
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last_name: Athreya
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start_date: Dec 21
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end_date: Oct 22
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- role: Visiting students
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members:
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- name: Otto Piramuthu
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last_name: Piramuthu
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start_date: Jun 24
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end_date: Aug 24
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end_date: Aug 24
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- role: Master's thesis
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members:
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- name: Adarsh Jamadandi
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thesis: On the Importance of Graph-Task Alignment for Graph Neural Networks
Copy file name to clipboardExpand all lines: _data/news.yml
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- date: 15. September 2025
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headline: "Rebekka and Celia are presenting at the Workshop on Mining and Learning with Graphs ([MLG](https://mlg-europe.github.io/2025/)) in Porto with a keynote and two posters, respectively."
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- date: 14. August 2025
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headline: "Tom is [presenting](https://cohere.com/events/Cohere-Labs-Tom-Jacobs-2025) his work on implicit regularization at Cohere Labs: Open Science Community."
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- date: 12. June 2025
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headline: "Tom is attending the [AIM](https://aimath.nl/index.php/2025/03/13/4th-aim-cluster-event-tilburg/) (AI & Mathematics) workshop at Tilburg University."
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headline: "Tom is attending the AI & Mathematics Workshop ([AIM](https://aimath.nl/index.php/2025/03/13/4th-aim-cluster-event-tilburg/)) at Tilburg University."
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- date: 2. June 2025
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headline: "Rebekka and Celia are presenting at [NetSci](https://netsci2025.github.io/) in Maastricht with a [satellite keynote](/outreach#netbiomed-2025-keynote-jun-2-2025) and a lightning talk."
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- date: 1. June 2025
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headline: "Welcome Baraah!"
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headline: "Rebekka and Celia are presenting at [NetSci](https://netsci2025.github.io/) in Maastricht with a [satellite keynote](/outreach#netbiomed-2025-keynote-jun-2-2025) and a lightning talk."
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- date: 27. May 2025
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headline: "Celia is visiting TU Wien and presenting at the ML Research Unit's [seminar](https://ml-tuw.github.io/ruml_seminar/)."
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- date: 1. May 2025
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headline: "Our paper on [implicit bias](https://arxiv.org/pdf/2504.12883) has been accepted at ICML 2025."
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- date: 1. May 2025
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headline: "Welcome Baraah!"
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- date: 24. March 2025
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headline: "Rebekka is at [CPAL](https://cpal.cc/spotlight_track/) presenting three [papers](/publications) as recent spotlights."
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- date: 13. February 2025
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headline: "Celia is presenting her work on graph rewiring at Cohere Labs ([video](/outreach#celia-rubio-madrigal--cohere-labs-feb-13-2025))."
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headline: "Celia is presenting her work on graph rewiring at Cohere Labs: Open Science Community ([video](/outreach#celia-rubio-madrigal--cohere-labs-feb-13-2025))."
description: "I lead the Relational Machine Learning Group at the Helmholtz Center CISPA since 2021. Our research on sparse deep learning is funded by an [ERC starting grant](https://cispa.de/en/research/grants/sparse-ml) since December 2023 and by Apple Research since August 2025. From 2019-2021, I was a PostDoc at the Biostatistics Department of the Harvard T.H. Chan School of Public Health working with John Quackenbush, from 2017-2018 at the Institute for Machine Learning at ETH Zurichwith Joachim Buhmann, and from 2016-2017 at the Chair of Systems Design at ETH Zurich with Frank Schweitzer. My PhD research at the ETH Risk Center was supervised by Frank Schweitzer and co-supervised by Hans J. Herrmann from 2013-2016. My thesis on systemic risk won the Zurich Dissertation Prize and our work on international maize trade received the CSF Best Contribution Award. I studied Mathematics and Physics at TU Darmstadt."
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description: "I lead the Relational Machine Learning Group at the Helmholtz Center CISPA since 2021. Our research on sparse deep learning is funded by an [ERC starting grant](https://cispa.de/en/research/grants/sparse-ml) since December 2023 and by Apple Research since August 2025. From 2019-2021, I was a PostDoc at the Biostatistics Department of the Harvard T.H. Chan School of Public Health working with John Quackenbush, from 2017-2018 at the Institute for Machine Learning at ETH Zurich with Joachim Buhmann, and from 2016-2017 at the Chair of Systems Design at ETH Zurich with Frank Schweitzer. My PhD research at the ETH Risk Center was supervised by Frank Schweitzer and co-supervised by Hans J. Herrmann from 2013-2016. My thesis on systemic risk won the Zurich Dissertation Prize and our work on international maize trade received the CSF Best Contribution Award. I studied Mathematics and Physics at TU Darmstadt."
description: "My research addresses generalization challenges in graph learning, focusing on the dual role of input graphs as both data and computation structures, and the effects of modifying them under different criteria. I hold two degrees in Mathematics and Computer Science from Universidad Complutense de Madrid, and I received the prestigious postgraduate fellowship from la Caixa Foundation in 2022. This allowed me to study a master's at Strathclyde in the UK, where I was awarded the Best Overall Performance Prize."
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description: "I study generalization challenges in graph learning, focusing on the dual role of input graphs as both data and computation structures, and the effects of modifying them under different criteria. In 2022 I received a ”la Caixa” Foundation Postgraduate Fellowship which funded my master's at the University of Strathclyde, where I was awarded the Best Overall Prize. I previously completed degrees in Mathematics and Computer Science from Universidad Complutense de Madrid."
description: "I study how multiple agents interact, learn, and how these processes can be optimized. Currently, I'm developing a general framework that enables a wide range of agents—from simple nodes to complex models—to interact efficiently. My past work focused on optimizing multi-agent reinforcement learning using ideas from game theory. I recently completed a Data Science and AI master at Saarland University. Previously, I did a bachelor in Electrical and Electronics Engineering at University of Khartoum."
<p>We are part of the <ahref="https://cispa.de">CISPA Helmholtz Center for Information Security</a> in Saarbrücken and St. Ingbert, Germany, and are grateful to <ahref="https://www.uni-saarland.de">Saarland University (UdS)</a> for granting us supervision rights.</p>
We are part of the [CISPA Helmholtz Center for Information Security](https://cispa.de) in Saarbrücken and St. Ingbert, Germany, and are grateful to [Saarland University (UdS)](https://www.uni-saarland.de) for granting us supervision rights.
Are you curious about some of our research and have further questions? Feel free to drop us an e-mail ([burkholz@cispa.de](mailto:burkholz@cispa.de)) to get in touch.
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### Student positions at UdS
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We welcome Master and Bachelor students from Saarland University interested in completing their thesis with our group. We also offer paid internship (HiWi) positions at CISPA. Topics around machine learning theory and applications are available—see the [team](/team)'s interestsand recent [publications](/publications) and contact us by email for more details.
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We welcome Master and Bachelor students from Saarland University interested in completing their thesis with our group. We also offer paid internship (HiWi) positions at CISPA. Topics around machine learning theory and applications are available—see the [team](/team)'s interests, past theses, and recent [publications](/publications), and contact us by email for more details.
<p>We are part of the <ahref="https://cispa.de">CISPA Helmholtz Center for Information Security</a> in Saarbrücken and St. Ingbert, Germany, and are grateful to <ahref="https://www.uni-saarland.de">Saarland University (UdS)</a> for granting us supervision rights.</p>
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