| 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 | 1100 | 2021 |
| 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 | 820* | 2022 |
| Improving clinical predictions through unsupervised time series representation learning X Lyu, M Hueser, SL Hyland, G Zerveas, G Raetsch Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018 | 67 | 2018 |
| 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 | 39 | 2022 |
| 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 | 29 | 2016 |
| Parameter-efficient modularised bias mitigation via AdapterFusion D Kumar, O Lesota, G Zerveas, D Cohen, C Eickhoff, M Schedl, ... Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 26 | 2023 |
| & Catanzaro, B.(2022). 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, ... arXiv preprint arXiv:2201.11990, 0 | 22 | |
| 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 | 18 | 2022 |
| 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 | 15 | 2021 |
| CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking G Zerveas, N Rekabsaz, D Cohen, C Eickhoff Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2021 | 13 | 2021 |
| Brown university at trec deep learning 2019 G Zerveas, R Zhang, L Kim, C Eickhoff arXiv preprint arXiv:2009.04016, 2020 | 13 | 2020 |
| 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, 2021 | 11 | 2021 |
| 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 | 7 | 2015 |
| 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 | 2* | 2023 |
| Improving Information Retrieval through Contextual Ranking with Large Language Models PhD Thesis G Zerveas Brown University Providence, Rhode Island, 2024 | 1 | 2024 |
| 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 |
Carsten EickhoffProfessor, University of TübingenE-mail megerősítve itt: uni-tuebingen.de
