Sitemap
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.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
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
Published:
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
Published:
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
Published:
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.
publications
Dirac equation in 2-dimensional curved spacetime, particle creation, and coupled waveguide arrays
Elsevier, 2016
Dirac equation on a square waveguide lattice with site-dependent coupling strengths and the gravitational Aharonov-Bohm effect
American Physical Society, 2020
Graph Scattering beyond Wavelet Shackles
NeurIPS - Advances in Neural Information Processing Systems, 2022
Limitless stability for Graph Convolutional Networks
ICLR - International Conference on Learning Representations, 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Oral @ New Frontiers in Graph Learning Workshop (NeurIPS 2023), 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs
ICLR - International Conference on Learning Representations. Also accepted at: NeurIPS 2023 New Frontiers in Graph Learning Workshop (Oral); Graph Signal Processing Workshop 2024 (Oral)., 2024
Transferability for Graph Convolutional Networks
Outstanding Abstract @ ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling, 2024
On the successful Incorporation of Scale into Graph Neural Networks
Best Paper & Oral @ ICLR 2025 Workshop on Machine Learning Multiscale Processes, 2025
talks
Learning on Graphs Conference
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Invited talk presented at the Learning on Graphs Conference satellite event at Ecole Polytechnique, Paris.
Learning on Graphs Conference
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Two oral presentations given at the Learning on Graphs Conference satellite event at King Juan Carlos University, Madrid.
Frontiers in Graph Learning Workshop
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Two oral presentations given at the Frontiers in Graph Learning Workshop, NeurIPS 2023.
Learning on Graphs & Geometry Seminar (LoG2)
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Invited talk presented at the Learning on Graphs & Geometry Seminar (LoG2), University of Oxford.
Graph Signal Processing Workshop
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Oral presentation given at the Graph Signal Processing Workshop, Delft University.
Machine Learning Multiscale Processes Workshop
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Invited talk presented at the Machine Learning Multiscale Processes Workshop during ICLR 2025.