Document Cards: A Top Trumps Visualization for Documents. - Hendrik Strobelt; Daniela Oelke; Christian Rohrdantz; Andreas Stoffel; Daniel A. Keim; Oliver Deussen (IEEE Trans. Vis. Comput. Graph., 2009)

Advanced Visualizations of Large Document Collections. - Hendrik Strobelt (AlgoSyn, 2010)

HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments. - Enrico Bertini; Hendrik Strobelt; Joachim Braun; Oliver Deussen; Ulrich Groth; Thomas U. Mayer; Dorit Merhof (BioVis, 2011)

Improving Stability and Compactness in Street Layout Visualizations. - Julian Kratt; Hendrik Strobelt; Oliver Deussen (VMV, 2011)

Interactive Visualization for Real-time Public Transport Journey Planning. - Josua Krause; Marc Spicker; Leonard Wörteler; Matthias Schäfer 001; Leishi Zhang; Hendrik Strobelt (SIGRAD, 2012)

HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform. - Hendrik Strobelt; Enrico Bertini; Joachim Braun; Oliver Deussen; Ulrich Groth; Thomas U. Mayer; Dorit Merhof (BMC Bioinform., 2012)

Document Thumbnails with Variable Text Scaling. - Andreas Stoffel; Hendrik Strobelt; Oliver Deussen; Daniel A. Keim (Comput. Graph. Forum, 2012)

Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives. - Hendrik Strobelt; Marc Spicker; Andreas Stoffel; Daniel A. Keim; Oliver Deussen (Comput. Graph. Forum, 2012)

Interactive Level-of-Detail Rendering of Large Graphs. - Michael Zinsmaier; Ulrik Brandes; Oliver Deussen; Hendrik Strobelt (IEEE Trans. Vis. Comput. Graph., 2012)

Visualization of Large Document Corpora. - Hendrik Strobelt (2012)

Ontologies in Biological Data Visualization. - Sheelagh Carpendale; Min Chen 001; Daniel Evanko; Nils Gehlenborg; Carsten Görg; Lawrence Hunter; Francis Rowland; Margaret-Anne D. Storey; Hendrik Strobelt (IEEE Computer Graphics and Applications, 2014)

Comparative Exploration of Document Collections: a Visual Analytics Approach. - Daniela Oelke; Hendrik Strobelt; Christian Rohrdantz; Iryna Gurevych; Oliver Deussen (Comput. Graph. Forum, 2014)

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity. - Ali K. Al-Awami; Johanna Beyer; Hendrik Strobelt; Narayanan Kasthuri; Jeff W. Lichtman; Hanspeter Pfister; Markus Hadwiger (IEEE Trans. Vis. Comput. Graph., 2014)

UpSet: Visualization of Intersecting Sets. - Alexander Lex; Nils Gehlenborg; Hendrik Strobelt; Romain Vuillemot; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2014)

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 Trans. Vis. Comput. Graph., 2014)

Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. - Hendrik Strobelt; Sebastian Gehrmann; Bernd Huber; Hanspeter Pfister; Alexander M. Rush (CoRR, 2016)

Vials: Visualizing Alternative Splicing of Genes. - Hendrik Strobelt; Bilal Alsallakh; Joseph Botros; Brant Peterson; Mark Borowsky; Hanspeter Pfister; Alexander Lex (IEEE Trans. Vis. Comput. Graph., 2016)

Guidelines for Effective Usage of Text Highlighting Techniques. - Hendrik Strobelt; Daniela Oelke; Bum Chul Kwon; Tobias Schreck; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2016)

Errata to "Guidelines for Effective Usage of Text Highlighting Techniques" [1]. - Hendrik Strobelt; Daniela Oelke; Bum Chul Kwon; Tobias Schreck; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2016)

Screenit: Visual Analysis of Cellular Screens. - Kasper Dinkla; Hendrik Strobelt; Bryan Genest; Stephan Reiling; Mark Borowsky; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2017)

booc.io: An Education System with Hierarchical Concept Maps and Dynamic Non-linear Learning Plans. - Michail Schwab; Hendrik Strobelt; James Tompkin 001; Colin Fredericks; Connor Huff; Dana Higgins; Anton Strezhnev; Mayya Komisarchik; Gary King; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2017)

Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. - Hendrik Strobelt; Sebastian Gehrmann; Michael Behrisch 001; Adam Perer; Hanspeter Pfister; Alexander M. Rush (BlackboxNLP@EMNLP, 2018)

ProteomeVis: a web app for exploration of protein properties from structure to sequence evolution across organisms' proteomes. - Rostam M. Razban; Amy I Gilson; Niamh Durfee; Hendrik Strobelt; Kasper Dinkla; Jeong-Mo Choi; Hanspeter Pfister; Eugene I. Shakhnovich (Bioinform., 2018)

Progressive Data Science: Potential and Challenges. - Cagatay Turkay; Nicola Pezzotti; Carsten Binnig; Hendrik Strobelt; Barbara Hammer; Daniel A. Keim; Jean-Daniel Fekete; Themis Palpanas; Yunhai Wang; Florin Rusu (CoRR, 2018)

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. - Hendrik Strobelt; Sebastian Gehrmann; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2018)

GLTR: Statistical Detection and Visualization of Generated Text. - Sebastian Gehrmann; Hendrik Strobelt; Alexander M. Rush (ACL (3), 2019)

Seeing What a GAN Cannot Generate. - David Bau; Jun-Yan Zhu; Jonas Wulff; William S. Peebles; Bolei Zhou; Hendrik Strobelt; Antonio Torralba 001 (ICCV, 2019)

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (ICLR (Poster), 2019)

Visualizing and Understanding GANs. - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (DGS@ICLR, 2019)

Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. - Tom Sercu; Sebastian Gehrmann; Hendrik Strobelt; Payel Das; Inkit Padhi; Cícero Nogueira dos Santos; Kahini Wadhawan; Vijil Chenthamarakshan (DGS@ICLR, 2019)

NeuNetS: An Automated Synthesis Engine for Neural Network Design. - 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; et al. (CoRR, 2019)

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (CoRR, 2019)

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. - Benjamin Hoover; Hendrik Strobelt; Sebastian Gehrmann (CoRR, 2019)

Semantic photo manipulation with a generative image prior. - David Bau; Hendrik Strobelt; William S. Peebles; Jonas Wulff; Bolei Zhou; Jun-Yan Zhu; Antonio Torralba 001 (ACM Trans. Graph., 2019)

Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. - Hendrik Strobelt; Sebastian Gehrmann; Michael Behrisch 001; Adam Perer; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2019)

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. - Benjamin Hoover; Hendrik Strobelt; Sebastian Gehrmann (ACL (demo), 2020)

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. - Vijil Chenthamarakshan; Payel Das; Samuel C. Hoffman; Hendrik Strobelt; Inkit Padhi; Kar Wai Lim; Benjamin Hoover; Matteo Manica; Jannis Born; Teodoro Laino; Aleksandra Mojsilovic (NeurIPS, 2020)

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. - Vijil Chenthamarakshan; Payel Das; Inkit Padhi; Hendrik Strobelt; Kar Wai Lim; Benjamin Hoover; Samuel C. Hoffman; Aleksandra Mojsilovic (CoRR, 2020)

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. - 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; et al. (CoRR, 2020)

MiniConf - A Virtual Conference Framework. - Alexander M. Rush; Hendrik Strobelt (CoRR, 2020)

Latent Compass: Creation by Navigation. - Sarah Schwettmann; Hendrik Strobelt; Mauro Martino (CoRR, 2020)

Understanding the role of individual units in a deep neural network. - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Àgata Lapedriza; Bolei Zhou; Antonio Torralba 001 (Proc. Natl. Acad. Sci. USA, 2020)

Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. - Dylan Cashman; Adam Perer; Remco Chang; Hendrik Strobelt (IEEE Trans. Vis. Comput. Graph., 2020)

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. - Sebastian Gehrmann; Hendrik Strobelt; Robert Krüger; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2020)

LMdiff: A Visual Diff Tool to Compare Language Models. - Hendrik Strobelt; Benjamin Hoover; Arvind Satyanarayan; Sebastian Gehrmann (EMNLP (Demos), 2021)

Interactive Corpora Visualization for 60 Years of AI Research. - Hendrik Strobelt; Benjamin Hoover (NeurIPS (Competition and Demos), 2021)

The Role of Interactive Visualization in Fostering Trust in AI. - Emma Beauxis-Aussalet; Michael Behrisch 001; Rita Borgo; Duen Horng Chau; Christopher Collins 001; David S. Ebert; Mennatallah El-Assady; Alex Endert; Daniel A. Keim; Jörn Kohlhammer; Daniela Oelke; Jaakko Peltonen; et al. (IEEE Computer Graphics and Applications, 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. - Angie W. Boggust; Benjamin Hoover; Arvind Satyanarayan; Hendrik Strobelt (CoRR, 2021)

FairyTailor: A Multimodal Generative Framework for Storytelling. - Eden Bensaid; Mauro Martino; Benjamin Hoover; Jacob Andreas; Hendrik Strobelt (CoRR, 2021)

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement. - 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; et al. (PLoS Comput. Biol., 2021)

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. - Angie W. Boggust; Benjamin Hoover; Arvind Satyanarayan; Hendrik Strobelt (CHI, 2022)

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. - Justin D. Weisz; Mary Lou Maher; Hendrik Strobelt; Lydia B. Chilton; David Bau; Werner Geyer (IUI Companion, 2022)

Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. - Angie W. Boggust; Harini Suresh; Hendrik Strobelt; John V. Guttag; Arvind Satyanarayan (CoRR, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - 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; et al. (CoRR, 2022)

ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion. - Andreas P. Hinterreiter; Peter Ruch; Holger Stitz; Martin Ennemoser; Jürgen Bernard; Hendrik Strobelt; Marc Streit (IEEE Trans. Vis. Comput. Graph., 2022)

GenNI: Human-AI Collaboration for Data-Backed Text Generation. - Hendrik Strobelt; Jambay Kinley; Robert Krüger; Johanna Beyer; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2022)

Saliency Cards: A Framework to Characterize and Compare Saliency Methods. - Angie W. Boggust; Harini Suresh; Hendrik Strobelt; John V. Guttag; Arvind Satyanarayan (FAccT, 2023)

HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models. - Mary Lou Maher; Justin D. Weisz; Lydia B. Chilton; Werner Geyer; Hendrik Strobelt (IUI Companion, 2023)

Energy Transformer. - Benjamin Hoover; Yuchen Liang; Bao Pham; Rameswar Panda; Hendrik Strobelt; Duen Horng Chau; Mohammed J. Zaki; Dmitry Krotov (NeurIPS, 2023)

Conversational GUI for Semantic Automation Layer. - 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; et al. (ISWC (Posters/Demos/Industry), 2023)

Grand Challenges in Visual Analytics Applications. - Aoyu Wu; Dazhen Deng; Min Chen 001; Shixia Liu; Daniel A. Keim; Ross Maciejewski; Silvia Miksch; Hendrik Strobelt; Fernanda B. Viégas; Martin Wattenberg (IEEE Computer Graphics and Applications, 2023)

The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. - Richard Brath; Daniel A. Keim; Johannes Knittel; Shimei Pan; Pia Sommerauer; Hendrik Strobelt (CoRR, 2023)

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. - Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Judy Hoffman; Zsolt Kira; Duen Horng Chau (CoRR, 2023)

Unraveling the Temporal Dynamics of the Unet in Diffusion Models. - Vidya Prasad; Zhu-Tian Chen; Anna Vilanova; Hanspeter Pfister; Nicola Pezzotti; Hendrik Strobelt (CoRR, 2023)

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. - Hendrik Strobelt; Albert Webson; Victor Sanh; Benjamin Hoover; Johanna Beyer; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2023)

Welcome: Message from the VIS 2022 General Chairs. - Danielle Szafir; David S. Ebert; Hendrik Strobelt (IEEE Trans. Vis. Comput. Graph., 2023)

RectEuler: Visualizing Intersecting Sets using Rectangles. - Patrick Paetzold; Rebecca Kehlbeck; Hendrik Strobelt; Yumeng Xue; Sabine Storandt; Oliver Deussen (Comput. Graph. Forum, 2023)

RELIC: Investigating Large Language Model Responses using Self-Consistency. - Furui Cheng; Vilém Zouhar; Simran Arora; Mrinmaya Sachan; Hendrik Strobelt; Mennatallah El-Assady (CHI, 2024)

Interactive Visual Learning for Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng Chau (IJCAI, 2024)

Empirical Evidence on Conversational Control of GUI in Semantic Automation. - 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; et al. (IUI, 2024)

Dense Associative Memory Through the Lens of Random Features. - Benjamin Hoover; Duen Horng Chau; Hendrik Strobelt; Parikshit Ram; Dmitry Krotov (NeurIPS, 2024)

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. - Emily Wall 001; 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 (PacificVis, 2024)

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng (Polo) Chau (IEEE VIS, 2024)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. - Walid Bousselham; Angie W. Boggust; Sofian Chaybouti; Hendrik Strobelt; Hilde Kuehne (CoRR, 2024)

Interactive Analysis of LLMs using Meaningful Counterfactuals. - Furui Cheng; Vilém Zouhar; Robin Shing Moon Chan; Daniel Fürst; Hendrik Strobelt; Mennatallah El-Assady (CoRR, 2024)

Abstraction Alignment: Comparing Model and Human Conceptual Relationships. - Angie W. Boggust; Hyemin Bang; Hendrik Strobelt; Arvind Satyanarayan (CoRR, 2024)

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. - Kenza Amara; Lukas Klein; Carsten T. Lüth; Paul Jäger 002; Hendrik Strobelt; Mennatallah El-Assady (CoRR, 2024)

GPT-2 Through the Lens of Vector Symbolic Architectures. - Johannes Knittel; Tushaar Gangavarapu; Hendrik Strobelt; Hanspeter Pfister (CoRR, 2024)

Multi-Level Explanations for Generative Language Models. - 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 (ACL (1), 2025)

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships. - Angie W. Boggust; Hyemin Bang; Hendrik Strobelt; Arvind Satyanarayan (CHI, 2025)

Small Models, Smarter Learning: The Power of Joint Task Training. - Csaba Both; Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Daniel Karl I. Weidele; Mauro Martino; Nima Dehmamy (CoRR, 2025)