News
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2020
2024
| 11/2024 |
Our paper "CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs" has been accepted at LoG 2024! Great collaboration with Farzin Soleymani and Bastian Rieck. |
| 09/2024 |
Two papers accepted at NeurIPS 2024! "Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization" with colleagues from MediaTek Research, and "Deep Equilibrium Algorithmic Reasoning" in collaboration with Dobrik Georgiev, JJ Wilson, and Pietro Liò . |
| 02/2024 |
Our paper "The Deep Equilibrium Algorithmic Reasoner" has been accepted at the CVPR Workshop on Multimodal Algorithmic Resoning! This is a collaboration with the amazing Dobrik Georgiev and Pietro Liò on a new model for Neural Algorithmic Reasoning. |
2023
| 05/2023 |
I am starting a new position as a Senior Deep Learning Researcher at MediaTek Research! I look forward to working with this amazing team. |
| 03/2023 |
I have successfuly defended my PhD thesis (available here)! I look forward to the next steps in my career. |
2022
| 11/2022 |
Our paper "Scalable Theory-Driven Regularization of Scene Graph Generation Models" has been accepted for publication at AAAI 2023! |
| 09/2022 |
Our paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks" has been accepted for publication at NeurIPS 2022! |
| 09/2022 |
I am starting as a Research Scientist Intern at Meta AI in London! |
| 08/2022 |
I have been awarded a Helmholtz Visiting Researcher Grant by HIDA. I will then visit Dr. Bastian Rieck at Helmholtz Munich to collaborate on exciting projects at the intersection of GNNs and topology! |
| 07/2022 |
I have given a talk at the University of Cambridge about Graph Neural Networks and the problem of size-generalization. Check out the recording here. |
| 04/2022 |
Our paper "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach" has been accepted as oral at IJCNN 2022! |
| 04/2022 |
I am joining the lab of Professor Pietro Liò at the University of Cambridge for a research visit until July 2022. |
| 01/2022 |
Our paper "The Impact of Global Structural Information in Graph Neural Networks" has been accepted for publication in Data, special issue Knowledge Extraction from Data Using Machine Learning. |
2021
| 06/2021 |
I have been accepted for participation at the London Geometry and Machine Learning Summer School (LOGML) 2021. |
| 03/2021 |
Our paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", which contained the work developed for my Master's thesis, has been accepted for publication on the IEEE Sensors Journal. |
| 01/2021 |
I will be spending 6 months at Samsung AI Research (Cambridge) under the supervision of Dr. Efthymia Tsamoura. |
2020