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George Zerveas
George Zerveas
Microsoft AI | ex Brown University, ETH Zurich
Verified email at microsoft.com
Title
Cited by
Cited by
Year
A transformer-based framework for multivariate time series representation learning
G Zerveas, S Jayaraman, D Patel, A Bhamidipaty, C Eickhoff
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
7392021
Using Deepspeed and Megatron to train megatron-turing NLG 530b, A large-scale generative language model.
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
CoRR, abs/2201.11990, 2022
643*2022
Improving clinical predictions through unsupervised time series representation learning
X Lyu, M Hueser, SL Hyland, G Zerveas, G Raetsch
arXiv preprint arXiv:1812.00490, 2018
572018
Mitigating bias in search results through contextual document reranking and neutrality regularization
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
302022
Comprehensive comparison and experimental validation of band-structure calculation methods in III–V semiconductor quantum wells
G Zerveas, E Caruso, G Baccarani, L Czornomaz, N Daix, D Esseni, ...
Solid-State Electronics 115, 92-102, 2016
302016
Parameter-efficient modularised bias mitigation via AdapterFusion
D Kumar, O Lesota, G Zerveas, D Cohen, C Eickhoff, M Schedl, ...
arXiv preprint arXiv:2302.06321, 2023
132023
Cats: Customizable abstractive topic-based summarization
SA Bahrainian, G Zerveas, F Crestani, C Eickhoff
ACM Transactions on Information Systems (TOIS) 40 (1), 1-24, 2021
132021
Unsupervised multivariate time-series transformers for seizure identification on eeg
IY Potter, G Zerveas, C Eickhoff, D Duncan
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
102022
Brown university at trec deep learning 2019
G Zerveas, R Zhang, L Kim, C Eickhoff
arXiv preprint arXiv:2009.04016, 2020
102020
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
arXiv preprint arXiv:2112.08766, 2021
82021
Extracting angina symptoms from clinical notes using pre-trained transformer architectures
AS Eisman, NR Shah, C Eickhoff, G Zerveas, ES Chen, WC Wu, IN Sarkar
AMIA Annual Symposium Proceedings 2020, 412, 2020
82020
Modeling approaches for band-structure calculation in III-V FET quantum wells
E Caruso, G Zerveas, G Baccarani, L Czornomaz, N Daix, D Esseni, ...
EUROSOI-ULIS 2015: 2015 Joint International EUROSOI Workshop and …, 2015
72015
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors
G Zerveas, N Rekabsaz, C Eickhoff
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
3*2023
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest
I Sears, A Garcia-Agundez, G Zerveas, W Rudman, L Mercurio, ...
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
80: Transfer Learning Boosts Performance Of Deep Learning Model Prediction of In-Hospital Mortality In Patients Treated With Extracorporeal Membrane Oxygenation
A Abbasi, I Sears, G Zerveas, N Sodha, C Ventetuolo, C Eickhoff
ASAIO Journal 69 (Supplement 3), 13, 2023
2023
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Articles 1–15