Georgios Smyrnis

According to our database, Georgios Smyrnis authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

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, Igor Vasiljevic, Jenia Jitsev, Alexandros G. Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt

CoRR, 2024

2023

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, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes.

Panagiotis Misiakos, Georgios Smyrnis, George Retsinas, Petros Maragos

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Inverse Problems Leveraging Pre-trained Contrastive Representations.

Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G. Dimakis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 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

Proceedings of the Pattern Recognition Applications and Methods, 2020

Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation.

Georgios Smyrnis, Petros Maragos

Proceedings of the 37th International Conference on Machine Learning, 2020

Maxpolynomial Division with Application To Neural Network Simplification.

Georgios Smyrnis, Petros Maragos, George Retsinas

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Tropical Polynomial Division and Neural Networks.

Georgios Smyrnis, Petros Maragos

CoRR, 2019