Hard Threshold Least Mean Squares Algorithm. - Lampros Flokas; Petros Maragos (CoRR, 2016)

Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation. - Abdul Rafae Khan; Subhadarshi Panda; Jia Xu 004; Lampros Flokas (WMT (shared task), 2018)

Online Wideband Spectrum Sensing Using Sparsity. - Lampros Flokas; Petros Maragos (IEEE J. Sel. Top. Signal Process., 2018)

Efficiently avoiding saddle points with zero order methods: No gradients required. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (NeurIPS, 2019)

Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (NeurIPS, 2019)

Principled Weight Initialization for Hypernetworks. - Oscar Chang; Lampros Flokas; Hod Lipson (ICLR, 2020)

Assessing SATNet's Ability to Solve the Symbol Grounding Problem. - Oscar Chang; Lampros Flokas; Hod Lipson; Michael Spranger (NeurIPS, 2020)

No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Thanasis Lianeas; Panayotis Mertikopoulos; Georgios Piliouras (NeurIPS, 2020)

Complaint-driven Training Data Debugging for Query 2.0. - Weiyuan Wu; Lampros Flokas; Eugene Wu 002; Jiannan Wang 001 (SIGMOD Conference, 2020)

Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (NeurIPS, 2021)

Enabling SQL-based Training Data Debugging for Federated Learning. - Yejia Liu; Weiyuan Wu; Lampros Flokas; Jiannan Wang 001; Eugene Wu 002 (Proc. VLDB Endow., 2021)

How I stopped worrying about training data bugs and started complaining. - Lampros Flokas; Weiyuan Wu; Jiannan Wang 001; Nakul Verma; Eugene Wu 002 (DEEM@SIGMOD, 2022)

Complaint-Driven Training Data Debugging at Interactive Speeds. - Lampros Flokas; Weiyuan Wu; Yejia Liu; Jiannan Wang 001; Nakul Verma; Eugene Wu 002 (SIGMOD Conference, 2022)

ConnectorX: Accelerating Data Loading From Databases to Dataframes. - Xiaoying Wang; Weiyuan Wu; Jinze Wu; Yizhou Chen; Nick Zrymiak; Changbo Qu; Lampros Flokas; George Chow; Jiannan Wang 001; Tianzheng Wang 001; Eugene Wu 002; Qingqing Zhou (Proc. VLDB Endow., 2022)

Chaos persists in large-scale multi-agent learning despite adaptive learning rates. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (CoRR, 2023)

Complaint Driven Training Data Debugging for Machine Learning Workflows - Lampros Flokas (2023)

Accelerating Deletion Interventions on OLAP Workload. - Haneen Mohammed; Alexander Yao; Lampros Flokas; Hongbin Zhong; Charlie Summers; Eugene Wu 002 (ICDE, 2024)

FaDE: More Than a Million What-ifs Per Second. - Haneen Mohammed; Eugene Wu 002; Alexander Yao; Charlie Summers; Lampros Flokas; Gromit Yeuk-Yin Chan; Subrata Mitra; Hongbin Zhong (Proc. VLDB Endow., 2024)

Towards a Framework for Hierarchical Text Segmentation using Large Language Models. - Lampros Flokas; Jeffery Cao; Yujian Xu; Eugene Wu 002; Xu Chu 002; Cong Yu 001 (DEEM@SIGMOD, 2025)

Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings. - Jeffery Cao; Lampros Flokas; Yujian Xu; Eugene Wu 002; Xu Chu 002; Cong Yu 001 (SIGMOD Conference Companion, 2025)