Morphological Perceptrons: Geometry and Training Algorithms. - Vasileios Charisopoulos; Petros Maragos (ISMM, 2017)

Managing stakeholder knowledge for the evaluation of innovation systems in the face of climate change. - Alexandros Nikas; Haris Ch. Doukas; Jenny Lieu; Rocío Alvarez Tinoco; Vasileios Charisopoulos; Wytze van der Gaast (J. Knowl. Manag., 2017)

A Tropical Approach to Neural Networks with Piecewise Linear Activations. - Vasileios Charisopoulos; Petros Maragos (CoRR, 2018)

Composite optimization for robust blind deconvolution. - Vasileios Charisopoulos; Damek Davis; Mateo Díaz; Dmitriy Drusvyatskiy (CoRR, 2019)

Incrementally Updated Spectral Embeddings. - Vasileios Charisopoulos; Austin R. Benson; Anil Damle (CoRR, 2019)

Entrywise convergence of iterative methods for eigenproblems. - Vasileios Charisopoulos; Austin R. Benson; Anil Damle (NeurIPS, 2020)

Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. - Vasileios Charisopoulos; Yudong Chen 001; Damek Davis; Mateo Díaz; Lijun Ding; Dmitriy Drusvyatskiy (Found. Comput. Math., 2021)

Tropical Geometry and Machine Learning. - Petros Maragos; Vasileios Charisopoulos; Emmanouil Theodosis (Proc. IEEE, 2021)

Communication-Efficient Distributed Eigenspace Estimation. - Vasileios Charisopoulos; Austin R. Benson; Anil Damle (SIAM J. Math. Data Sci., 2021)

Communication-efficient distributed eigenspace estimation with arbitrary node failures. - Vasileios Charisopoulos; Anil Damle (NeurIPS, 2022)

Reducing Aggregate Electric Vehicle Battery Capacity Through Sharing. - Polina Alexeenko; Vasileios Charisopoulos (CDC, 2023)

Robust and private stochastic linear bandits. - Vasileios Charisopoulos; Hossein Esfandiari; Vahab Mirrokni (ICML, 2023)

Robust and differentially private stochastic linear bandits. - Vasileios Charisopoulos; Hossein Esfandiari; Vahab Mirrokni (CoRR, 2023)

Nonlinear tomographic reconstruction via nonsmooth optimization. - Vasileios Charisopoulos; Rebecca Willett (CoRR, 2024)

A Superlinearly Convergent Subgradient Method for Sharp Semismooth Problems. - Vasileios Charisopoulos; Damek Davis (Math. Oper. Res., 2024)

Stochastic algorithms with geometric step decay converge linearly on sharp functions. - Damek Davis; Dmitriy Drusvyatskiy; Vasileios Charisopoulos (Math. Program., 2024)

Multi-Frequency Far-Field Wave Scattering Data. - Owen Melia; Olivia Orianne Tsang; Vasileios Charisopoulos; Yuehaw Khoo; Jeremy G. Hoskins; Rebecca Willett (Zenodo, 2024)

Multi-frequency progressive refinement for learned inverse scattering. - Owen Melia; Olivia Tsang; Vasileios Charisopoulos; Yuehaw Khoo; Jeremy G. Hoskins; Rebecca Willett (J. Comput. Phys., 2025)

Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization. - Adela DePavia; Vasileios Charisopoulos; Rebecca Willett (CoRR, 2025)

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay. - Hannah Laus; Suzanna Parkinson; Vasileios Charisopoulos; Felix Krahmer; Rebecca Willett (CoRR, 2025)