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ORCIDHendrik Strobelt
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- affiliation: IBM Research AI, USA
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2020 – today
- 2024
[c24]Furui Cheng
, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI 2024: 647:1-647:18- [c23]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Interactive Visual Learning for Stable Diffusion. IJCAI 2024: 8721-8724 - [c22]Daniel Karl I. Weidele, Mauro Martino, Abel N. Valente, Gaetano Rossiello, Hendrik Strobelt, Loraine Franke, Kathryn Alvero, Shayenna Misko, Robin Auer, Sugato Bagchi, Nandana Mihindukulasooriya, Md. Faisal Mahbub Chowdhury, Gregory Bramble, Horst Samulowitz, Alfio Gliozzo, Lisa Amini:
Empirical Evidence on Conversational Control of GUI in Semantic Automation. IUI 2024: 869-885 - [c21]Emily Wall, Laura E. Matzen, Mennatallah El-Assady, Peta Masters, Helia Hosseinpour, Alex Endert, Rita Borgo, Polo Chau, Adam Perer, Harald T. Schupp, Hendrik Strobelt, Lace M. K. Padilla:
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. PacificVis 2024: 22-31 - [i39]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i38]Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh:
Multi-Level Explanations for Generative Language Models. CoRR abs/2403.14459 (2024) - [i37]Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne:
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. CoRR abs/2404.03214 (2024) - [i36]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau:
Interactive Visual Learning for Stable Diffusion. CoRR abs/2404.16069 (2024) - [i35]Furui Cheng, Vilém Zouhar, Robin Shing Moon Chan, Daniel Fürst, Hendrik Strobelt, Mennatallah El-Assady:
Interactive Analysis of LLMs using Meaningful Counterfactuals. CoRR abs/2405.00708 (2024) - [i34]Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan:
Abstraction Alignment: Comparing Model and Human Conceptual Relationships. CoRR abs/2407.12543 (2024) - [i33]Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady:
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. CoRR abs/2410.01690 (2024) - 2023
- [j31]Aoyu Wu, Dazhen Deng, Min Chen, Shixia Liu, Daniel A. Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda B. Viégas, Martin Wattenberg:
Grand Challenges in Visual Analytics Applications. IEEE Computer Graphics and Applications 43(5): 83-90 (2023) - [j30]Patrick Paetzold, Rebecca Kehlbeck, Hendrik Strobelt, Yumeng Xue, Sabine Storandt, Oliver Deussen:
RectEuler: Visualizing Intersecting Sets using Rectangles. Comput. Graph. Forum 42(3): 87-98 (2023) - [j29]Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. 29(1): 1146-1156 (2023) - [j28]Danielle Szafir, David S. Ebert, Hendrik Strobelt:
Welcome: Message from the VIS 2022 General Chairs. IEEE Trans. Vis. Comput. Graph. 29(1): xv (2023) - [c20]Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan:
Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT 2023: 285-296 - [c19]Mary Lou Maher, Justin D. Weisz, Lydia B. Chilton, Werner Geyer, Hendrik Strobelt:
HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2023: 190-192 - [c18]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. NeurIPS 2023 - [c17]Daniel Karl I. Weidele, Gaetano Rossiello, Gregory Bramble, Abel N. Valente, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Mauro Martino, Nandana Mihindukulasooriya, Haritha Ananthakrishnan, Hendrik Strobelt, Hima Patel, Alfio Massimiliano Gliozzo, Owen Cornec, Ankush Gupta, Sameep Mehta, Manish Kesarwani, Horst Samulowitz, Oktie Hassanzadeh, Arvind Agarwal, Lisa Amini:
Conversational GUI for Semantic Automation Layer. ISWC (Posters/Demos/Industry) 2023 - [i32]Richard Brath, Daniel A. Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer, Hendrik Strobelt:
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. CoRR abs/2301.04528 (2023) - [i31]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. CoRR abs/2302.07253 (2023) - [i30]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR abs/2305.03509 (2023) - [i29]Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau:
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR abs/2309.16750 (2023) - [i28]Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR abs/2311.16842 (2023) - [i27]Vidya Prasad, Zhu-Tian Chen, Anna Vilanova, Hanspeter Pfister, Nicola Pezzotti, Hendrik Strobelt:
Unraveling the Temporal Dynamics of the Unet in Diffusion Models. CoRR abs/2312.14965 (2023) - 2022
- [j27]Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
GenNI: Human-AI Collaboration for Data-Backed Text Generation. IEEE Trans. Vis. Comput. Graph. 28(1): 1106-1116 (2022) - [j26]Andreas P. Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit:
ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion. IEEE Trans. Vis. Comput. Graph. 28(2): 1222-1236 (2022) - [c16]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI 2022: 10:1-10:17 - [c15]Justin D. Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B. Chilton, David Bau, Werner Geyer:
HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2022: 4-6 - [i26]Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan:
Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR abs/2206.02958 (2022) - [i25]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i24]Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR abs/2208.07852 (2022) - 2021
- [j25]Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [j24]Joseph Aylett-Bullock, Carolina Cuesta-Lázaro, Arnau Quera-Bofarull, Anjali Katta, Katherine Hoffmann Pham, Benjamin Hoover, Hendrik Strobelt, Rebeca Moreno Jimenez, Aidan Sedgewick, Egmond Samir Evers, David Kennedy, Sandra Harlass, Allen Gidraf Kahindo Maina, Ahmad Hussien, Miguel A. Luengo-Oroz:
Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement. PLoS Comput. Biol. 17(10) (2021) - [c14]Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. EMNLP (Demos) 2021: 96-105 - [c13]Hendrik Strobelt, Benjamin Hoover:
Interactive Corpora Visualization for 60 Years of AI Research. NeurIPS (Competition and Demos) 2021: 278-282 - [i23]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i22]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR abs/2107.09234 (2021) - [i21]Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt:
FairyTailor: A Multimodal Generative Framework for Storytelling. CoRR abs/2108.04324 (2021) - [i20]Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
GenNI: Human-AI Collaboration for Data-Backed Text Generation. CoRR abs/2110.10185 (2021) - [i19]Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. CoRR abs/2111.01582 (2021) - 2020
- [j23]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the role of individual units in a deep neural network. Proc. Natl. Acad. Sci. USA 117(48): 30071-30078 (2020) - [j22]Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. IEEE Trans. Vis. Comput. Graph. 26(1): 863-873 (2020) - [j21]Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush:
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. IEEE Trans. Vis. Comput. Graph. 26(1): 884-894 (2020) - [c12]Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. ACL (demo) 2020: 187-196 - [c11]Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic:
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS 2020 - [i18]Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic:
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR abs/2004.01215 (2020) - [i17]David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic Photo Manipulation with a Generative Image Prior. CoRR abs/2005.07727 (2020) - [i16]Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic:
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR abs/2005.11248 (2020) - [i15]Alexander M. Rush, Hendrik Strobelt:
MiniConf - A Virtual Conference Framework. CoRR abs/2007.12238 (2020) - [i14]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the Role of Individual Units in a Deep Neural Network. CoRR abs/2009.05041 (2020) - [i13]Sarah Schwettmann, Hendrik Strobelt, Mauro Martino:
Latent Compass: Creation by Navigation. CoRR abs/2012.14283 (2020)
2010 – 2019
- 2019
- [j20]David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic photo manipulation with a generative image prior. ACM Trans. Graph. 38(4): 59:1-59:11 (2019) - [j19]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. IEEE Trans. Vis. Comput. Graph. 25(1): 353-363 (2019) - [c10]Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush:
GLTR: Statistical Detection and Visualization of Generated Text. ACL (3) 2019: 111-116 - [c9]David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba:
Seeing What a GAN Cannot Generate. ICCV 2019: 4501-4510 - [c8]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) 2019 - [c7]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding GANs. DGS@ICLR 2019 - [c6]Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan:
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. DGS@ICLR 2019 - [i12]Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir R. Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati:
NeuNetS: An Automated Synthesis Engine for Neural Network Design. CoRR abs/1901.06261 (2019) - [i11]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). CoRR abs/1901.09887 (2019) - [i10]Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush:
GLTR: Statistical Detection and Visualization of Generated Text. CoRR abs/1906.04043 (2019) - [i9]Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush:
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. CoRR abs/1907.10739 (2019) - [i8]Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. CoRR abs/1908.00387 (2019) - [i7]Andreas P. Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit:
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion. CoRR abs/1910.00969 (2019) - [i6]Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. CoRR abs/1910.05276 (2019) - [i5]David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba:
Seeing What a GAN Cannot Generate. CoRR abs/1910.11626 (2019) - 2018
- [j18]Rostam M. Razban, Amy I Gilson, Niamh Durfee, Hendrik Strobelt, Kasper Dinkla, Jeong-Mo Choi, Hanspeter Pfister, Eugene I. Shakhnovich:
ProteomeVis: a web app for exploration of protein properties from structure to sequence evolution across organisms' proteomes. Bioinform. 34(20): 3557-3565 (2018) - [j17]Rostam M. Razban, Amy I Gilson, Niamh Durfee, Hendrik Strobelt, Kasper Dinkla, Jeong-Mo Choi, Hanspeter Pfister, Eugene I. Shakhnovich:
ProteomeVis: a web app for exploration of protein properties from structure to sequence evolution across organisms' proteomes. Bioinform. 34(23): 4140 (2018) - [j16]Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, Alexander M. Rush:
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. IEEE Trans. Vis. Comput. Graph. 24(1): 667-676 (2018) - [c5]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP 2018: 368-370 - [i4]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. CoRR abs/1804.09299 (2018) - [i3]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. CoRR abs/1811.10597 (2018) - [i2]Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu:
Progressive Data Science: Potential and Challenges. CoRR abs/1812.08032 (2018) - 2017
- [j15]Michail Schwab, Hendrik Strobelt, James Tompkin, Colin Fredericks, Connor Huff, Dana Higgins, Anton Strezhnev, Mayya Komisarchik, Gary King, Hanspeter Pfister:
booc.io: An Education System with Hierarchical Concept Maps and Dynamic Non-linear Learning Plans. IEEE Trans. Vis. Comput. Graph. 23(1): 571-580 (2017) - [j14]Kasper Dinkla, Hendrik Strobelt, Bryan Genest, Stephan Reiling, Mark Borowsky, Hanspeter Pfister:
Screenit: Visual Analysis of Cellular Screens. IEEE Trans. Vis. Comput. Graph. 23(1): 591-600 (2017) - 2016
- [j13]Hendrik Strobelt, Bilal Alsallakh, Joseph Botros, Brant Peterson, Mark Borowsky, Hanspeter Pfister, Alexander Lex:
Vials: Visualizing Alternative Splicing of Genes. IEEE Trans. Vis. Comput. Graph. 22(1): 399-408 (2016) - [j12]Hendrik Strobelt, Daniela Oelke, Bum Chul Kwon, Tobias Schreck, Hanspeter Pfister:
Guidelines for Effective Usage of Text Highlighting Techniques. IEEE Trans. Vis. Comput. Graph. 22(1): 489-498 (2016) - [j11]Hendrik Strobelt, Daniela Oelke, Bum Chul Kwon, Tobias Schreck, Hanspeter Pfister:
Errata to "Guidelines for Effective Usage of Text Highlighting Techniques" [1]. IEEE Trans. Vis. Comput. Graph. 22(5): 1637 (2016) - [i1]Hendrik Strobelt, Sebastian Gehrmann, Bernd Huber, Hanspeter Pfister, Alexander M. Rush:
Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. CoRR abs/1606.07461 (2016) - 2014
- [j10]Sheelagh Carpendale, Min Chen, Daniel Evanko, Nils Gehlenborg, Carsten Görg, Lawrence Hunter, Francis Rowland, Margaret-Anne D. Storey, Hendrik Strobelt:
Ontologies in Biological Data Visualization. IEEE Computer Graphics and Applications 34(2): 8-15 (2014) - [j9]Daniela Oelke, Hendrik Strobelt, Christian Rohrdantz, Iryna Gurevych, Oliver Deussen:
Comparative Exploration of Document Collections: a Visual Analytics Approach. Comput. Graph. Forum 33(3): 201-210 (2014) - [j8]Christian Partl, Alexander Lex, Marc Streit, Hendrik Strobelt, Anne Mai Wassermann, Hanspeter Pfister, Dieter Schmalstieg:
ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery. IEEE Trans. Vis. Comput. Graph. 20(12): 1883-1892 (2014) - [j7]Alexander Lex, Nils Gehlenborg, Hendrik Strobelt, Romain Vuillemot, Hanspeter Pfister:
UpSet: Visualization of Intersecting Sets. IEEE Trans. Vis. Comput. Graph. 20(12): 1983-1992 (2014) - [j6]Ali K. Al-Awami, Johanna Beyer, Hendrik Strobelt, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity. IEEE Trans. Vis. Comput. Graph. 20(12): 2369-2378 (2014) - 2012
- [b1]Hendrik Strobelt:
Visualization of Large Document Corpora. University of Konstanz, 2012 - [j5]Hendrik Strobelt, Enrico Bertini, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof:
HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform. BMC Bioinform. 13(S-8): S4 (2012) - [j4]Hendrik Strobelt, Marc Spicker, Andreas Stoffel, Daniel A. Keim, Oliver Deussen:
Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives. Comput. Graph. Forum 31(3pt3): 1135-1144 (2012) - [j3]Andreas Stoffel, Hendrik Strobelt, Oliver Deussen, Daniel A. Keim:
Document Thumbnails with Variable Text Scaling. Comput. Graph. Forum 31(3pt3): 1165-1173 (2012) - [j2]Michael Zinsmaier, Ulrik Brandes, Oliver Deussen, Hendrik Strobelt:
Interactive Level-of-Detail Rendering of Large Graphs. IEEE Trans. Vis. Comput. Graph. 18(12): 2486-2495 (2012) - [c4]Josua Krause, Marc Spicker, Leonard Wörteler, Matthias Schäfer, Leishi Zhang, Hendrik Strobelt:
Interactive Visualization for Real-time Public Transport Journey Planning. SIGRAD 2012: 95-98 - 2011
- [c3]Enrico Bertini, Hendrik Strobelt, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof:
HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments. BioVis 2011: 95-102 - [c2]Julian Kratt, Hendrik Strobelt, Oliver Deussen:
Improving Stability and Compactness in Street Layout Visualizations. VMV 2011: 285-292 - 2010
- [c1]Hendrik Strobelt:
Advanced Visualizations of Large Document Collections. AlgoSyn 2010: 43
2000 – 2009
- 2009
- [j1]Hendrik Strobelt, Daniela Oelke, Christian Rohrdantz, Andreas Stoffel, Daniel A. Keim, Oliver Deussen:
Document Cards: A Top Trumps Visualization for Documents. IEEE Trans. Vis. Comput. Graph. 15(6): 1145-1152 (2009)
Coauthor Index
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