Test Set Embedding into Low-Power BIST Sequences Using Maximum Bipartite Matching. - Ioannis Voyiatzis; Kyriakos Axiotis; Nikolaos S. Papaspyrou; Hera Antonopoulou; Costas Efstathiou (Panhellenic Conference on Informatics, 2012)

On the Size and the Approximability of Minimum Temporally Connected Subgraphs. - Kyriakos Axiotis; Dimitris Fotakis 001 (ICALP, 2016)

Fast Modular Subset Sum using Linear Sketching. - Kyriakos Axiotis; Arturs Backurs; Christos Tzamos (CoRR, 2018)

Capacitated Dynamic Programming: Faster Knapsack and Graph Algorithms. - Kyriakos Axiotis; Christos Tzamos (ICALP, 2019)

Fast Modular Subset Sum using Linear Sketching. - Kyriakos Axiotis; Arturs Backurs; Ce Jin 001; Christos Tzamos; Hongxun Wu (SODA, 2019)

Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. - Kyriakos Axiotis; Aleksander Madry; Adrian Vladu (FOCS, 2020)

Faster Sparse Minimum Cost Flow by Electrical Flow Localization. - Kyriakos Axiotis; Aleksander Madry; Adrian Vladu (FOCS, 2021)

Local Search Algorithms for Rank-Constrained Convex Optimization. - Kyriakos Axiotis; Maxim Sviridenko (ICLR, 2021)

Decomposable Submodular Function Minimization via Maximum Flow. - Kyriakos Axiotis; Adam Karczmarz; Anish Mukherjee 001; Piotr Sankowski; Adrian Vladu (ICML, 2021)

Fast and Simple Modular Subset Sum. - Kyriakos Axiotis; Arturs Backurs; Karl Bringmann; Ce Jin 001; Vasileios Nakos; Christos Tzamos; Hongxun Wu (SOSA, 2021)

Sparse Convex Optimization via Adaptively Regularized Hard Thresholding. - Kyriakos Axiotis; Maxim Sviridenko (J. Mach. Learn. Res., 2021)

Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime. - Kyriakos Axiotis; Maxim Sviridenko (ICML, 2022)

Flows, Submodularity, Sparsity, and Beyond: Continuous Optimization Insights for Discrete Problems - Kyriakos Axiotis (2022)

Gradient Descent Converges Linearly for Logistic Regression on Separable Data. - Kyriakos Axiotis; Maxim Sviridenko (ICML, 2023)

SubMix: Learning to Mix Graph Sampling Heuristics. - Sami Abu-El-Haija; Joshua V. Dillon; Bahare Fatemi; Kyriakos Axiotis; Neslihan Bulut; Johannes Gasteiger; Bryan Perozzi; MohammadHossein Bateni (UAI, 2023)

Performance of 𝓁1 Regularization for Sparse Convex Optimization. - Kyriakos Axiotis; Taisuke Yasuda 002 (CoRR, 2023)

Greedy PIG: Adaptive Integrated Gradients. - Kyriakos Axiotis; Sami Abu-El-Haija; Lin Chen; Matthew Fahrbach; Gang Fu (CoRR, 2023)

Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond. - Kyriakos Axiotis; Vincent Cohen-Addad; Monika Henzinger; Sammy Jerome; Vahab Mirrokni; David Saulpic; David P. Woodruff; Michael Wunder (ICML, 2024)

SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization. - Taisuke Yasuda 002; Kyriakos Axiotis; Gang Fu; Mohammad Hossein Bateni 001; Vahab Mirrokni (NeurIPS, 2024)

DeepCrossAttention: Supercharging Transformer Residual Connections. - Mike Heddes; Adel Javanmard; Kyriakos Axiotis; Gang Fu; MohammadHossein Bateni; Vahab Mirrokni (CoRR, 2025)