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Hendrik Strobelt * Home * Professional * Personal GUTEN TAG. WELCOME. Hi, I am Hendrik Strobelt -- Researcher, Data Scientist, and sometimes in good mood. This web-page should take the role of a web business card. Therefore, I will try to update the collection of my projects and ideas as soon as they are publishable. PROFESSIONAL Currently, I am working as a Researcher in Information Visualisation, Visual Analytics, and Machine Learning at IBM Research AI in Cambridge, MA. I am interested in Visualization of large data sets of unstructured/semi-structured data, biological data, and neural network models. I enjoy advising students and enable them to do great work. I try to be a good citizen in the community by reviewing regularly (InfoVis 2010-2018, BioVis 2012/13, CHI 2011/2014/2017-18, VAST 2010-2018, EuroVis,...), participating in InfoVis PC 2017-19, the VIS OC 2017-19, the BioVis 2013 OC and PC, and other committees. I had the honor to attend three great and motivating Dagstuhl seminars on InfoVis, BioVis, and Progressive Data Science. Oh, and I like to give talks from time to time. Here is a selected list of my publications and projects (see also Google scholar)... * MiniConf - A virtual conference in a box H Strobelt, A Rush Open Source link * Unsupervised attention-guided atom-mapping P Schwaller, B Hoover, J Reymond, H Strobelt, T Laino Chemarxiv + Demo link * Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models V Chenthamarakshan, P Das, I Padhi, H Strobelt, KW Lim, B Hoover, SC Hoffman, A Mojsilovic Exploration Tool link * ExBERT: A visual analysis tool to explore learned representations in transformers models B Hoover, H Strobelt, S Gehrmann ACL 2020 Demo paper link * Visual Interaction with Deep Learning Models through Collaborative Semantic Inference S Gehrmann, H Strobelt, R Krüger, H Pfister, AM Rush VAST 2019 link * Seeing what a GAN cannot generate D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba ICCV 2019 paper with demo link * Catching Unicorns with GLTR: A tool to detect automatically generated text H Strobelt, S Gehrmann, S Rush Demo link * GLTR: Statistical Detection and Visualization of Generated Text S Gehrmann, H Strobelt, S Rush ACL demo paper & arxiv 2019 link * Semantic photo manipulation with a generative image prior D Bau, H Strobelt, W Peebles, J Wulff, B Zhou, JY Zhu, A Torralba Siggraph 2019 paper & poster & demo link * Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection T Sercu, S Gehrmann, H Strobelt, P Das, I Padhi, C Dos Santos, K Wadhawan, V Chenthamarakshan ICLR 2019 Workshop DeepGenStruct link * Interactive Visualization as Mediator Between Human and Machine Intelligence H Strobelt, S Gehrmann Multiple Views (01/29/19) link * GANpaint H Strobelt, D Bau, JY Zhu, A Torralba Demo link * GAN Dissection: Visualizing and Understanding Generative Adversarial Networks D Bau, JY Zhu, H Strobelt, BZhou, JB Tenenbaum, WT Freeman, A Torralba accepted at ICLR 2019 link * Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models H Strobelt, S Gehrmann, M Behrisch, A Perer, H Pfister, A Rush VAST Honrable Mention 2018 link * Forma Fluens -- abstraction, simultaneity and symbolization in drawings. M Martino, H Strobelt, O Cornec, E Phibbs VIS art program, NIPS creativity workshop 2017 link * LSTMVis: Visual Analysis for Recurent Neural Networks H Strobelt, S Gehrmann, B Huber, H Pfister, A Rush ArXiv article, IEEE VIS paper 2017 link * Screenit: Visual Analysis of Cellular Screens K Dinkla,H Strobelt, B Genest, S Reiling, M Borowsky, H Pfister accepted at IEEE VIS 2016 link * booc.io: An Education System with Hierarchical Concept Maps and Dynamic Non-linear Learning Plans M Schwab, H Strobelt, J Tompkin, C Fredericks,C Huff, D Higgins, A Strezhnev, M Komisarchik, G King, H Pfister accepted at VIS 2016 link * Vials: Visualizing Alternative Splicing of Genes H Strobelt, B Alsallakh, J Botros, P Brant, M Borowsky, H Pfister, A Lex To appear in IEEE Transactions on Visualization and Computer Graphics (InfoVis '15). - to be published link * Guidelines for Effective Usage of Text Highlighting Techniques H Strobelt, D Oelke, B Kwon, T Schreck, H Pfister To appear in IEEE Transactions on Visualization and Computer Graphics (InfoVis '15). - to be published link * NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity A. Al-Awami, J. Beyer, H. Strobelt, N. Kasthuri, J.W. Lichtman, H. Pfister, M. Hadwiger To appear in IEEE Transactions on Visualization and Computer Graphics (InfoVis '14). - to be published link * UpSet: Visualization of Intersecting Sets Alexander Lex, Nils Gehlenborg, Hendrik Strobelt, Romain Vuillemot, and Hanspeter Pfister To appear in IEEE Transactions on Visualization and Computer Graphics (InfoVis '14). - to be published link * ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery Christian Partl, Alexander Lex, Marc Streit, Hendrik Strobelt, Anne-Mai Wassermann, Hanspeter Pfister, Dieter Schmalstieg IEEE Transactions on Visualization and Computer Graphics (VAST '14) - to be published link * Comparative Exploration of Document Collections: a Visual Analytics Approach Daniela Oelke, Hendrik Strobelt, Christian Rohrdantz, Iryna Gurevych, Oliver Deussen Computer Graphics Forum (EuroVis) 2014 - to be published link * TextVis at 'Listening to One Million Voices' exhibition at UNICEF building NY Hendrik Strobelt (exhibition) link * Ontologies in Biological Data Visualization Sheelagh Carpendale, Min Chen, Daniel Evanko, Nils Gehlenborg, Carsten Görg, Larry Hunter, Francis Rowland, Margaret-Anne Storey, Hendrik Strobelt IEEE Computer Graphics and Applications, vol. 34, no. 2, pp. 8-15, Mar.-Apr., 2014 link * Interactive Visualization for Real-time Public Transport Journey Planning Josua Krause, Marc Spicker, Leonard Wörteler, Matthias Schäfer, Leishi Zhang, Hendrik Strobelt Proceedings of SIGRAD 2012 -- Interactive Visual Analysis of Data link * Interactive Level-of-Detail Rendering of Large Graphs Michael Zinsmaier, Ulrik Brandes, Oliver Deussen, and Hendrik Strobelt IEEE Transactions on Visualization and Computer Graphics (InfoVis 2012) link * HiTSEE KNIME: A visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform H. Strobelt, E. Bertini, J. Braun, O. Deussen, U. Groth, T. U. Mayer, D. Merhof open access article, WWW, BMC Bioinformatics 2012, 13(Suppl 8):S4 doi:10.1186/1471-2105-13-S8-S4 link * 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, volume 31 issue 3 pp. 1135-1144, doi: 10.1111/j.1467-8659.2012.03106.x, (EuroVis 2012) link * Document Thumbnails with Variable Text Scaling A. Stoffel, H. Strobelt, O. Deussen, D. A. Keim Computer Graphics Forum, volume 31 issue 3 pp. 1165-1173, doi: 10.1111/j.1467-8659.2012.03109.x, (EuroVis 2012) * HiTSEE: A Visualization Tool for Hit Selection and Analysis in High-Throughput Screening Experiments [Honorable Mention] Enrico Bertini, Hendrik Strobelt, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof Proceedings of 1st IEEE Symposium on Biological Data Visualization (BioVis), 2011 link * Improving Stability and Compactness in Street Layout Visualizations Julian Kratt, Hendrik Strobelt, Oliver Deussen Proceedings of VMV 2011: Vision, Modeling and Visualization, 2011 * Interactive Demo -- Stay in Touch with InfoVis: Visualizing Document Collections with Document Cards Hendrik Strobelt, Mathias Heilig, Oliver Deussen Interactive Demos, Visweek 2010 demo * Document Cards: A Top Trumps Visualization for Documents H. Strobelt, D. Oelke, C. Rohrdantz, A. Stoffel, O. Deussen, D. Keim IEEE Transactions on Visualization and Computer Graphics (TVCG - InfoVis), 2009 link * 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, suppl. 2 p. 14, 2008 back to top » PERSONAL I was born in former East Germany. The probability to work and live in the US or even in the western world was at date of birth close to zero. A lot has changed and is changing in the world. Here are some of my personal changes/developments: * 2017-now Research Scientist at IBM Research in Cambridge, MA Explainability Lead for MIT-IBM Watson AI Lab, Visiting Researcher at MIT Adjunct Faculty at CMU (in spring 2021) * 2014-2016 PostDoc in Computer Science at Harvard University (SEAS), Cambridge, MA * 2013 PostDoc in Computer Science at NYU Tandon, New York * 2012 Dr. rer. nat. (PhD) in Computer Science at Uni Konstanz * 2007 Dipl.-Inf. (MA) in Computer Science at TU Dresden * civil service * Abitur (A levels) Käthe Kollwitz Gymnasium Zwickau (a tribute to my teachers :)) Besides the "achievements" listed above I believe that there are more important things in life. Therefore, I try to stay calm and enjoy life, especially when sharing it with friends. back to top » -------------------------------------------------------------------------------- © hs 2013