Georgios Smyrnis

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Petros MaragosProfessor of Electrical and Computer Engineering, National Technical University of AthensVerified email at cs.ntua.gr
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
George RetsinasECE NTUA, ATHENA RIC, NCSR DemokritosVerified email at central.ntua.gr
Matt JordanGraduate Research Assistant, UT AustinVerified email at cs.utexas.edu
Evaggelos SpyrouAssociate Professor, Department of Informatics and Telecommunications, University of ThessalyVerified email at uth.gr
Sriram RavulaPhD Student, The University of Texas at AustinVerified email at utexas.edu
Ioannis VernikosPhd University Of Thessaly, Research Assistant National Center of Scientific ResearchVerified email at uth.gr

Georgios Smyrnis

University of Texas at Austin

Verified email at utexas.edu

Machine Learning


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DataComp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... arXiv preprint arXiv:2304.14108, 2023	113	2023
Maxpolynomial Division with Application To Neural Network Simplification G Smyrnis, P Maragos, G Retsinas ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	15	2020
Tropical Polynomial Division and Neural Networks G Smyrnis, P Maragos arXiv preprint arXiv:1911.12922, 2019	15	2019
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation G Smyrnis, P Maragos	11*
Inverse Problems Leveraging Pre-trained Contrastive Representations S Ravula, G Smyrnis, M Jordan, AG Dimakis Advances in Neural Information Processing Systems 34, 8753-8765, 2021	9	2021
Neural network approximation based on hausdorff distance of tropical zonotopes P Misiakos, G Smyrnis, G Retsinas, P Maragos International Conference on Learning Representations, 2022	5	2022
Sentiment Analysis from Sound Spectrograms via Soft BoVW and Temporal Structure Modelling. G Pikramenos, G Smyrnis, I Vernikos, T Konidaris, E Spyrou, ... ICPRAM, 361-369, 2020	5	2020
Dimensionality reduction and attention mechanisms for extracting affective state from sound spectrograms G Pikramenos, K Kechagias, T Psallidas, G Smyrnis, E Spyrou, ... Pattern Recognition Applications and Methods: 9th International Conference …, 2020	1	2020
Language models scale reliably with over-training and on downstream tasks S Yitzhak Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, ... arXiv e-prints, arXiv: 2403.08540, 2024		2024
Enhancing CLIP with a Third Modality E Tsaprazlis, G Smyrnis, AG Dimakis, P Maragos
Lovasz Theta Contrastive Learning G Smyrnis, M Jordan, A Uppal, G Daras, A Dimakis

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