Tropical Polynomial Division and Neural Networks. - Georgios Smyrnis; Petros Maragos (CoRR, 2019)

Maxpolynomial Division with Application To Neural Network Simplification. - Georgios Smyrnis; Petros Maragos; George Retsinas (ICASSP, 2020)

Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation. - Georgios Smyrnis; Petros Maragos (ICML, 2020)

Dimensionality Reduction and Attention Mechanisms for Extracting Affective State from Sound Spectrograms. - George Pikramenos; Konstantinos Kechagias; Theodoros Psallidas; Georgios Smyrnis; Evaggelos Spyrou; Stavros J. Perantonis (ICPRAM (Revised Selected Papers), 2020)

Sentiment Analysis from Sound Spectrograms via Soft BoVW and Temporal Structure Modelling. - George Pikramenos; Georgios Smyrnis; Ioannis Vernikos; Thomas Konidaris; Evaggelos Spyrou; Stavros J. Perantonis (ICPRAM, 2020)

Inverse Problems Leveraging Pre-trained Contrastive Representations. - Sriram Ravula; Georgios Smyrnis; Matt Jordan; Alexandros G. Dimakis (NeurIPS, 2021)

Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes. - Panagiotis Misiakos; Georgios Smyrnis; George Retsinas; Petros Maragos (ICLR, 2022)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (CoRR, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (ICLR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)