Theodoridis, Sergios

5 publications

NeurIPS 2025 Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis

ICLR 2024 Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan

AISTATS 2021 Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis

UAI 2020 An Interpretable and Sample Efficient Deep Kernel for Gaussian Process Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui

ICML 2019 Nonparametric Bayesian Deep Networks with Local Competition Konstantinos Panousis, Sotirios Chatzis, Sergios Theodoridis