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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
news
Attended LOGML 2025
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Had the fantastic opportunity to attend LOGML - 2025 and work on Rademacher complexity bounds for GNNs. We will be realising more soon…
Attended the Probabilistic ML School by ELLIS
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What a big set of experts! This school showed me that probability is very cool, even cooler no-one is looking at the geometry!
Attended EEML 2025
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Best summer school of the season, definitly will do an EEML again. My favourite talk was on natural gradients by James Marten. Very cool topic!
Attended EDS 2025
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It was fantastic to finall hear about AI regulation at EDS 2025, the talks by Prof. Petri and Prof. Petri where particularly interesting.
M.Sc. Graduation
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Officially graduated from the M.Sc. in AI with a thesis grade of 9.5/10! Had a lot of fun reading about graph theory along the way, I am sad it’s over but I will be sharing the results soon enough!
portfolio
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publications
Applications of TopoX to Topological Deep Learning
Published in In the proceedings of Geometric-Grounded Representation Learning and Generative Modelling at ICML 2024, 2024
Recommended citation: M. Carrasco, A. Berentzen, A. Garcia, "Applications of TopoX to Topological Deep Learning." In the proceedings of Geometric-Grounded Representation Learning and Generative Modelling at ICML 2024, 2024.
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ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Published in In the proceedings of Geometric-Grounded Representation Learning and Generative Modelling at ICML 2024, 2024
Use Google Scholar for full citation
Recommended citation: G. Bernardez, L. Telyatnikov, M. Hajij, M. Carrasco, "ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain." In the proceedings of Geometric-Grounded Representation Learning and Generative Modelling at ICML 2024, 2024.
Inter-Node Message Passing Through Optical Reconfigurable Memory Channel
Published in IEEE Access, 2024
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Recommended citation: M. Palma, J. Gonzalez, M. Carrasco, R. Rubio-Noriega, K. Bergman, R. Azevedo, "Inter-Node Message Passing Through Optical Reconfigurable Memory Channel." IEEE Access, 2024.
Topobench: A framework for benchmarking topological deep learning
Published in arXiv preprint arXiv:2406.06642, 2024
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Recommended citation: Lev Telyatnikov, Guillermo Bernardez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael Schaub, Jonas Verhellen, ... others, "Topobench: A framework for benchmarking topological deep learning." arXiv preprint arXiv:2406.06642, 2024.
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
Published in arXiv preprint arXiv:2505.15405, 2025
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Recommended citation: Martin Carrasco, Guillermo Bernardez, Marco Montagna, Nina Miolane, Lev Telyatnikov, "HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations." arXiv preprint arXiv:2505.15405, 2025.
talks
Poster presentation at ICML2024 - GRaM Workshop
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Presented the poster “Applications of TopoX to Topological Deep Learning”
Poster presentation at LOG Amsterdam 2024
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Presented the poster “Applications of TopoX to Topological Deep Learning” in my own turf at LOG Amsterdam.
Poster presentation EEML 2025
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Presented the poster for “HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations” at EEML - 2025 in Sarajevo!
Poster presentation EDS 2025
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Presented the poster (with some minor tweaks) for “HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations” at the ELLIS Doctoral Symposium 2025 in Warsaw!
teaching
Evolutionary Computing
Masters course, Vrije Universiteit Amsterdam, 2024
Conducted working group sections to answer questions about previous topics touched in lectuers and advice students on their class projects
Deep Learning
Master course, Vrije Universiteit Amsterdam, 2024
I worked on leading working group sessions explaining elemental topics in deep learning with a focus on CNNs and GNNs