Biography

I am a PhD student at the Informatics Institute of the University of Amsterdam supervised by Efstratios Gavves. I studied Physics at the University of Turin where I graduated cum laude and Physics at the Imperial College where I graduated with first class honours. My research focuses on the intersection of Dynamical systems and Deep Learning. My interests also lie in applied Geometry for computer vision and representation learning. I am currently doing a research internship at ServiceNow where I am working on causal discovery from time series.

News

[Sep 2024] Our work Space-Time Continuous PDE Forecasting using Equivariant Neural Fields has been accepted at NeurIPS 2024!.

[Aug 2024] I joined ServiceNow in the beautiful Montreal as a research intern working on time-series and causal discovery.

[May 2024] Our work Ai-sampler: Adversarial Learning of Markov kernels with involutive maps has been accepted at ICML 2024. See you in Vienna!

[Feb 2024] Our work How to Train Neural Field Representations: A Comprehensive Study and Benchmark has been accepted at CVPR 2024!

[Jan 2024] Our library and neural field arena for efficient training of implicit representations and benchmarking downstream models is out.

[Jul 2023] Our work Geometric Contrastive Learning has been accepted as an oral at Proceedings of the 4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop at ICCV 2023.

[May 2023] Our work on Learning Lie Group Symmetry Transformations with Neural Networks has been accepted at the Proceedings of the 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at the 40th ICML, 2023

[May 2023] Our work Neural Modulation Fields for Conditional Cone Beam Neural Tomography has been accepted at the 1st workshop on Synergy of Scientific and Machine Learning Modeling, SynS & ML at ICML.

[Jun 2022] I am presenting my work on Learning Time-Reversible Dynamics accepted as oral at the fourth Learning for Dynamcis and Control (L4DC) conference.

FOMO research project

The long version of the project proposal for the UvA Foundation Models course.