Federico Errica
Federico Errica
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Paper accepted at ICLR 2024!!
Graph-Induced Sum-Product Networks have been (finally!) accepted at ICLR 2024! Blog post coming in the following months… stay tuned! Special thanks to Mathias Niepert for his relentless support =).
Federico Errica
Jan 15, 2024
1 min read
Research
Paper accepted at JCP!!
Our work on learning to accelerate Hamiltonian Monte Carlo simulations has been accepted at the Journal of Chemical Physics! Shout out to my colleagues Henrik and Francesco for the hard work =)
Federico Errica
Nov 27, 2023
1 min read
Research
PyDGN accepted at JOSS!
PyDGN just got accepted in Journal of Open Source Software =) I have to say, compared to other prestigious journals, I got much more constructive feedback and the review process was faster and transparent.
Federico Errica
Oct 1, 2023
1 min read
Software
Paper accepted at NeurIPS 2023!!
I am really excited: my very first single-author paper has been accepted at NeurIPS 2023! I still can’t believe that I managed to pull this off, especially after submitting it for the first time =) give it a few weeks for the papers to be released on OpenReview!
Federico Errica
Sep 24, 2023
1 min read
Research
Paper accepted at ICML 2022!!
Infinite Contextual Graph Markov Model
Federico Errica
May 15, 2022
1 min read
Research
PyDGN 1.0.0
PyDGN 1.0.0 is out! We have added a documentation, refactored the code, implemented a bunch of user-friendly features and provided clean, well commented configuration files!
Federico Errica
Mar 2, 2022
1 min read
Software
Started a new job
While I prepare my Ph.D. thesis’ defense, I have just started working for NEC Laboratories Europe as a Research Scientist! The people and the environment are truly stimulating, stay tuned for more updates on deep learning for graphs =).
Federico Errica
Jan 13, 2022
1 min read
PyDGN v0.5.0 is out!
PyDGN v0.5.0 is out
Federico Errica
Aug 13, 2021
1 min read
Software
Paper accepted at ICML 2021!!
Graph Mixture Density Network
Federico Errica
May 9, 2021
1 min read
Research
2 Papers accepted at IJCNN 2021!
Deep Bayesian Graph Networks & Low-resource Classification
Federico Errica
Apr 13, 2021
1 min read
Research
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