| UpSet: visualization of intersecting sets A Lex, N Gehlenborg, H Strobelt, R Vuillemot, H Pfister IEEE transactions on visualization and computer graphics 20 (12), 1983-1992, 2014 | 1571 | 2014 |
| HiGlass: web-based visual exploration and analysis of genome interaction maps P Kerpedjiev, N Abdennur, F Lekschas, C McCallum, K Dinkla, H Strobelt, ... Genome biology 19 (1), 1-12, 2018 | 936 | 2018 |
| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 730 | 2022 |
| Visualizing and Understanding GANs D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... | 528* | 2019 |
| Lstmvis: A tool for visual analysis of hidden state dynamics in recurrent neural networks H Strobelt, S Gehrmann, H Pfister, AM Rush IEEE transactions on visualization and computer graphics 24 (1), 667-676, 2018 | 467 | 2018 |
| Understanding the role of individual units in a deep neural network D Bau, JY Zhu, H Strobelt, A Lapedriza, B Zhou, A Torralba Proceedings of the National Academy of Sciences 117 (48), 30071-30078, 2020 | 351 | 2020 |
| Semantic photo manipulation with a generative image prior D Bau, H Strobelt, W Peebles, B Zhou, JY Zhu, A Torralba arXiv preprint arXiv:2005.07727, 2020 | 290 | 2020 |
| Seeing what a gan cannot generate D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 288 | 2019 |
| Gltr: Statistical detection and visualization of generated text S Gehrmann, H Strobelt, AM Rush arXiv preprint arXiv:1906.04043, 2019 | 286 | 2019 |
| Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models H Strobelt, S Gehrmann, M Behrisch, A Perer, H Pfister, AM Rush IEEE transactions on visualization and computer graphics 25 (1), 353-363, 2018 | 226 | 2018 |
| Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ... Nature Biomedical Engineering 5 (6), 613-623, 2021 | 188* | 2021 |
| Extraction of organic chemistry grammar from unsupervised learning of chemical reactions P Schwaller, B Hoover, JL Reymond, H Strobelt, T Laino Science Advances 7 (15), eabe4166, 2021 | 148* | 2021 |
| exbert: A visual analysis tool to explore learned representations in transformers models B Hoover, H Strobelt, S Gehrmann arXiv preprint arXiv:1910.05276, 2019 | 148 | 2019 |
| Document cards: A top trumps visualization for documents H Strobelt, D Oelke, C Rohrdantz, A Stoffel, DA Keim, O Deussen IEEE transactions on visualization and computer graphics 15 (6), 1145-1152, 2009 | 139 | 2009 |
| Interactive level-of-detail rendering of large graphs M Zinsmaier, U Brandes, O Deussen, H Strobelt IEEE Transactions on Visualization and Computer Graphics 18 (12), 2486-2495, 2012 | 131 | 2012 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 118 | 2021 |
| Gene mention normalization and interaction extraction with context models and sentence motifs J Hakenberg, C Plake, L Royer, H Strobelt, U Leser, M Schroeder Genome biology 9 (2), 1-16, 2008 | 93 | 2008 |
| CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models V Chenthamarakshan, P Das, S Hoffman, H Strobelt, I Padhi, KW Lim, ... Advances in Neural Information Processing Systems 33, 4320--4332, 2020 | 92 | 2020 |
| Guidelines for effective usage of text highlighting techniques H Strobelt, D Oelke, BC Kwon, T Schreck, H Pfister IEEE transactions on visualization and computer graphics 22 (1), 489-498, 2015 | 79 | 2015 |
| Rolled‐out wordles: A heuristic method for overlap removal of 2d data representatives H Strobelt, M Spicker, A Stoffel, D Keim, O Deussen Computer Graphics Forum 31 (3pt3), 1135-1144, 2012 | 79 | 2012 |
Hanspeter PfisterAn Wang Professor of Computer Science, Harvard Universityseas.harvard.edu의 이메일 확인됨
