Antony Alexos

Antony Alexos

ML PhD student @ UCI

About me

As a Ph.D. candidate at the University of California, Irvine, under the mentoring of Professor Pierre Baldi my focus lies in the realm of Machine Learning. My academic prowess is complemented by a suite of advanced technical, scientific, and engineering skills. Beyond these competencies, I bring a robust work ethic, unwavering dedication, and an ability to consistently uphold professional standards. My expertise extends to effective communication and fostering team collaboration, crucial in any high-stakes environment.

My main research interests lie in Deep Learning, Probabilistic Learning, Computer Vision, and Deep Generative Models. I am also interested in problems at the intersection of math and application in Machine Learning. I am currently working on Text-to-Speech Synthesis, Theory of Neural Networks, Attention Mechanisms, and Bio-Plausible Deep Learning.

I finished my undergraduate studies in the Electrical and Computer Engineering Department at the University of Thessaly(UTH) with a minor in Data Science and graduated 4th in my class. I did my undergraduate thesis with Professor Gerasimos Potamianos on Sign Language Video-to-Text Translation. There I founded HERMES (a powered exoskeleton for Cybathlon 2020 a global competition in Zürich) and UTH Trading and Investing Club, and I served as a Chair and Vice-chair in the IEEE SB Volos. I also worked in Hilti (Switzerland), in the Oactive project in CERTH (Volos) with Dr. Dimitrios Tsaopoulos, in In4Capital (London-remote), and in SML Lab (Cyprus-remote) with Dr. Sotirios Chatzis. I am fortunate to be also advised by Professors Panos Toulis and Sotirios Chatzis.

I spend my free time either reading or doing outdoor activities (surfing, running, trail running).

News

  • December 2023 Our work Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data with LLNL has been accepted to AIM 2024 as an Extended Abstract.
  • November 2023 Our paper FastStitch: Towards speech editing by hitch-hiking a pre-trained FastSpeech2 model has been accepted to NLDL 2024 as an oral.
  • October 2023 Our paper AttentionStitch: How Attention Solves the Speech Editing Problem has been accepted to NeurIPS 2023 Workshop on Machine Learning for Audio.
  • May 2022 Our paper “Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach” has been accepted to ICML 2022.
  • March 2022 I will join Disney Research at Walt Disney Imagineering this summer for a research internship on deep generative models.
  • November 2021 Our paper “Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach” has been accepted as a spotlight talk in NeurIPS Bayesian Deep Learning workshop 2021 and as a poster in AABI 2022. You can find the video presentation here.
  • January 2021 Our paper “Local Competition and Stochasticity for Adversarial Robustness in Deep Learning” has been accepted to AISTATS 2021.
  • August 2020 I successfully defended my undergraduate thesis on Sign Language Translation which you can find here.
  • June 2020 Our paper “Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative” with CERTH has been accepted to IISA20.
  • May 2020 In September 2020 I will join UCI as a PhD student.
  • February 2020
    • Our paper “Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective” has been accepted to LION14.
    • In March I will join HILTI in Switzerland for a data science internship.
  • October 2019 Our paper “Which attributes matter the most for loan origination? A neural attention approach.” has been accepted to Robust AI for Financial Services Workshop in NeurIPS 2019.