Antonios Alexos

According to our database, Antonios Alexos authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A theory of synaptic neural balance: From local to global order.

Pierre Baldi, Antonios Alexos, Ian Domingo, Alireza Rahmansetayesh

Artif. Intell., 2025

Improving Deep Learning Speed and Performance Through Synaptic Neural Balance.

Antonios Alexos, Ian Domingo, Pierre Baldi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems.

Antonios Alexos, Yu-Dai Tsai, Ian Domingo, Maryam Pishgar, Pierre Baldi

CoRR, 2024

AttentionStitch: How Attention Solves the Speech Editing Problem.

Antonios Alexos, Pierre Baldi

CoRR, 2024

FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model.

Antonios Alexos, Pierre Baldi

Proceedings of the Northern Lights Deep Learning Conference, 2024

Nuclear Fusion Diamond Polishing Dataset.

Antonios Alexos, Junze Liu, Shashank Galla, Sean Hayes, Kshitij Bhardwaj, Alexander Schwartz, Monika Biener, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data.

Antonios Alexos, Junze Liu, Akash Tiwari, Kshitij Bhardwaj, Sean Hayes, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar

CoRR, 2023

2022

Structured Stochastic Gradient MCMC.

Antonios Alexos, Alex J. Boyd, Stephan Mandt

Proceedings of the International Conference on Machine Learning, 2022

2021

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning.

Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Local Competition and Uncertainty for Adversarial Robustness in Deep Learning.

Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis

CoRR, 2020

Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective.

Antonios Alexos, Serafeim P. Moustakidis, Christos Kokkotis, Dimitrios Tsaopoulos

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative.

Antonios Alexos, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Dimitrios Tsaopoulos

Proceedings of the 11th International Conference on Information, 2020