A scalable and efficient approach for compiling and analyzing commit history. - Pooyan Behnamghader; Patavee Meemeng; Iordanis Fostiropoulos; Di Huang; Kamonphop Srisopha; Barry W. Boehm (ESEM, 2018)

The Characteristics and Impact of Uncompilable Code Changes on Software Quality Evolution. - Jincheng He; Sitao Min; Kelechi Ogudu; Michael Shoga; Alex Polak; Iordanis Fostiropoulos; Barry W. Boehm; Pooyan Behnamghader (QRS, 2020)

Depthwise Discrete Representation Learning. - Iordanis Fostiropoulos (CoRR, 2020)

Multimodal Phased Transformer for Sentiment Analysis. - Junyan Cheng; Iordanis Fostiropoulos; Barry W. Boehm; Mohammad Soleymani 001 (EMNLP (1), 2021)

Learning Hyperbolic Representations of Topological Features. - Panagiotis Kyriakis; Iordanis Fostiropoulos; Paul Bogdan (ICLR, 2021)

GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization. - Junyan Cheng; Iordanis Fostiropoulos; Barry W. Boehm (CoRR, 2021)

Graph Conditioned Sparse-Attention for Improved Source Code Understanding. - Junyan Cheng; Iordanis Fostiropoulos; Barry W. Boehm (CoRR, 2021)

Implicit Feature Decoupling with Depthwise Quantization. - Iordanis Fostiropoulos; Barry W. Boehm (CVPR, 2022)

Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network. - Iordanis Fostiropoulos; Laurent Itti (CoRR, 2022)

ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments. - Iordanis Fostiropoulos; Laurent Itti (AutoML, 2023)

Reproducibility Requires Consolidated Artifacts. - Iordanis Fostiropoulos; Bowman Brown; Laurent Itti (CAIN, 2023)

Batch Model Consolidation: A Multi-Task Model Consolidation Framework. - Iordanis Fostiropoulos; Jiaye Zhu; Laurent Itti (CVPR, 2023)

Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods. - Panos Achlioptas; Alexandros Benetatos; Iordanis Fostiropoulos; Dimitris Skourtis (CoRR, 2023)

Lightweight Learner for Shared Knowledge Lifelong Learning. - Yunhao Ge; Yuecheng Li; Di Wu; Ao Xu; Adam M. Jones; Amanda Sofie Rios; Iordanis Fostiropoulos; Shixian Wen; Po-Hsuan Huang; Zachary William Murdock; Gozde Sahin; Shuo Ni; et al. (Trans. Mach. Learn. Res., 2023)