Martin Carrasco
@martin.topology.rocks
ELLIS PhD @ AIDOS - Interested in Geometrical Deep Learning | Topological Deep Learning | Graphs
All these insights resulted in a 9.5/10 thesis grade (whatever that means), which I hope serves as a hook to give it a read!
📖 On arxiv: arxiv.org/abs/2511.03068
📖 On arxiv: arxiv.org/abs/2511.03068
Homomorphism distortion: A metric to distinguish them all and in the latent space bind them
For far too long, expressivity of graph neural networks has been measured \emph{only} in terms of combinatorial properties. In this work we stray away from this tradition and provide a principled way ...
arxiv.org
November 27, 2025 at 12:51 PM
All these insights resulted in a 9.5/10 thesis grade (whatever that means), which I hope serves as a hook to give it a read!
📖 On arxiv: arxiv.org/abs/2511.03068
📖 On arxiv: arxiv.org/abs/2511.03068
Under mild assumptions, we obtain a metric and we show 𝘤𝘰𝘮𝘱𝘭𝘦𝘵𝘯𝘦𝘴𝘴. However, as all graphs enthusiasts might notice, this implies the GI problem.
That's not the end of the story because we show that we can sample graphs and achieve completeness in expectation :0 !
That's not the end of the story because we show that we can sample graphs and achieve completeness in expectation :0 !
November 27, 2025 at 12:51 PM
Under mild assumptions, we obtain a metric and we show 𝘤𝘰𝘮𝘱𝘭𝘦𝘵𝘯𝘦𝘴𝘴. However, as all graphs enthusiasts might notice, this implies the GI problem.
That's not the end of the story because we show that we can sample graphs and achieve completeness in expectation :0 !
That's not the end of the story because we show that we can sample graphs and achieve completeness in expectation :0 !
My thesis project embarks on this question, under the supervision of both @erikjbekkers.bsky.social , @pseudomanifold.topology.rocks and @olgatticus.bsky.social we devise a metric over graphs, 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 the maps that exists between them. It also has a cool name!
𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐬𝐦 𝐃𝐢𝐬𝐭𝐨𝐫𝐭𝐢𝐨𝐧 (ⒽⒹ)
𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐬𝐦 𝐃𝐢𝐬𝐭𝐨𝐫𝐭𝐢𝐨𝐧 (ⒽⒹ)
November 27, 2025 at 12:51 PM
My thesis project embarks on this question, under the supervision of both @erikjbekkers.bsky.social , @pseudomanifold.topology.rocks and @olgatticus.bsky.social we devise a metric over graphs, 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 the maps that exists between them. It also has a cool name!
𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐬𝐦 𝐃𝐢𝐬𝐭𝐨𝐫𝐭𝐢𝐨𝐧 (ⒽⒹ)
𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐬𝐦 𝐃𝐢𝐬𝐭𝐨𝐫𝐭𝐢𝐨𝐧 (ⒽⒹ)
Reposted by Martin Carrasco
It may only be a band-aid, but we have just announced our new "Salon des Refusés" sessions for papers rejected due to space constraints: bsky.app/profile/euri...
Congratulations to everyone who got their @neuripsconf.bsky.social papers accepted 🎉🎉🎉
At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
September 19, 2025 at 9:35 AM
It may only be a band-aid, but we have just announced our new "Salon des Refusés" sessions for papers rejected due to space constraints: bsky.app/profile/euri...
Reposted by Martin Carrasco
The workshops focused on (in chronological order):
- Variational Inference (youtube.com/playlist?lis...)
- Optimal Transport (youtube.com/playlist?lis...)
- Parallel Computing (youtube.com/playlist?lis...), and
- Computational Physics (youtube.com/playlist?lis...).
- Variational Inference (youtube.com/playlist?lis...)
- Optimal Transport (youtube.com/playlist?lis...)
- Parallel Computing (youtube.com/playlist?lis...), and
- Computational Physics (youtube.com/playlist?lis...).
September 2, 2025 at 12:13 PM
The workshops focused on (in chronological order):
- Variational Inference (youtube.com/playlist?lis...)
- Optimal Transport (youtube.com/playlist?lis...)
- Parallel Computing (youtube.com/playlist?lis...), and
- Computational Physics (youtube.com/playlist?lis...).
- Variational Inference (youtube.com/playlist?lis...)
- Optimal Transport (youtube.com/playlist?lis...)
- Parallel Computing (youtube.com/playlist?lis...), and
- Computational Physics (youtube.com/playlist?lis...).
Reposted by Martin Carrasco
Let's push for the obvious solution: Dear @neuripsconf.bsky.social ! Allow authors to present accepted papers at EurIPS instead of NeurIPS rather than just additionally. Likely, at least 500 papers would move to Copenhagen, problem solved.
August 28, 2025 at 7:19 PM
Let's push for the obvious solution: Dear @neuripsconf.bsky.social ! Allow authors to present accepted papers at EurIPS instead of NeurIPS rather than just additionally. Likely, at least 500 papers would move to Copenhagen, problem solved.
Reposted by Martin Carrasco
We can’t wait to see what the community builds with TopoBench! Star our repo, read the paper, and bring reproducibility to your TDL research. Contributions and feedback are welcome! #OpenSource #Python #AcademicTwitter
August 25, 2025 at 5:22 PM
We can’t wait to see what the community builds with TopoBench! Star our repo, read the paper, and bring reproducibility to your TDL research. Contributions and feedback are welcome! #OpenSource #Python #AcademicTwitter
Reposted by Martin Carrasco
This was a massive team effort!
Developed & led by @levtelyatnikov.bsky.social , @gbg141.bsky.social , Theodore Papamarkou. With major contributions from @Marco Montagna, Mustafa Hajij, Ghada Zamzmi, Michael T. Schaub, @ninamiolane.bsky.social , & @sscardapane.bsky.social , and many others!
Developed & led by @levtelyatnikov.bsky.social , @gbg141.bsky.social , Theodore Papamarkou. With major contributions from @Marco Montagna, Mustafa Hajij, Ghada Zamzmi, Michael T. Schaub, @ninamiolane.bsky.social , & @sscardapane.bsky.social , and many others!
August 25, 2025 at 5:22 PM
This was a massive team effort!
Developed & led by @levtelyatnikov.bsky.social , @gbg141.bsky.social , Theodore Papamarkou. With major contributions from @Marco Montagna, Mustafa Hajij, Ghada Zamzmi, Michael T. Schaub, @ninamiolane.bsky.social , & @sscardapane.bsky.social , and many others!
Developed & led by @levtelyatnikov.bsky.social , @gbg141.bsky.social , Theodore Papamarkou. With major contributions from @Marco Montagna, Mustafa Hajij, Ghada Zamzmi, Michael T. Schaub, @ninamiolane.bsky.social , & @sscardapane.bsky.social , and many others!