Hendrik Strobelt

Orcid: 0000-0002-8995-1683

Affiliations:
  • IBM Research AI, USA


According to our database1, Hendrik Strobelt authored at least 80 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Dense Associative Memory Through the Lens of Random Features.
CoRR, 2024

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.
CoRR, 2024

Abstraction Alignment: Comparing Model and Human Conceptual Relationships.
CoRR, 2024

Interactive Analysis of LLMs using Meaningful Counterfactuals.
CoRR, 2024

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity.
CoRR, 2024

Multi-Level Explanations for Generative Language Models.
CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR, 2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization.
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

Empirical Evidence on Conversational Control of GUI in Semantic Automation.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Interactive Visual Learning for Stable Diffusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

RELIC: Investigating Large Language Model Responses using Self-Consistency.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
RectEuler: Visualizing Intersecting Sets using Rectangles.
Comput. Graph. Forum, June, 2023

Welcome: Message from the VIS 2022 General Chairs.
IEEE Trans. Vis. Comput. Graph., 2023

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models.
IEEE Trans. Vis. Comput. Graph., 2023

Unraveling the Temporal Dynamics of the Unet in Diffusion Models.
CoRR, 2023

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories.
CoRR, 2023

The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference.
CoRR, 2023

Grand Challenges in Visual Analytics Applications.
IEEE Computer Graphics and Applications, 2023


Energy Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Saliency Cards: A Framework to Characterize and Compare Saliency Methods.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022
GenNI: Human-AI Collaboration for Data-Backed Text Generation.
IEEE Trans. Vis. Comput. Graph., 2022

ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion.
IEEE Trans. Vis. Comput. Graph., 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods.
CoRR, 2022

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
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., 2021

FairyTailor: A Multimodal Generative Framework for Storytelling.
CoRR, 2021

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment.
CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR, 2021

The Role of Interactive Visualization in Fostering Trust in AI.
IEEE Computer Graphics and Applications, 2021

Interactive Corpora Visualization for 60 Years of AI Research.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

LMdiff: A Visual Diff Tool to Compare Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference.
IEEE Trans. Vis. Comput. Graph., 2020

Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures.
IEEE Trans. Vis. Comput. Graph., 2020

Understanding the role of individual units in a deep neural network.
Proc. Natl. Acad. Sci. USA, 2020

Latent Compass: Creation by Navigation.
CoRR, 2020

MiniConf - A Virtual Conference Framework.
CoRR, 2020

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
CoRR, 2020

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models.
IEEE Trans. Vis. Comput. Graph., 2019

Semantic photo manipulation with a generative image prior.
ACM Trans. Graph., 2019

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models.
CoRR, 2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract).
CoRR, 2019

NeuNetS: An Automated Synthesis Engine for Neural Network Design.
CoRR, 2019

Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Visualizing and Understanding GANs.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Seeing What a GAN Cannot Generate.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GLTR: Statistical Detection and Visualization of Generated Text.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2018

Progressive Data Science: Potential and Challenges.
CoRR, 2018

ProteomeVis: a web app for exploration of protein properties from structure to sequence evolution across organisms' proteomes.
Bioinform., 2018

Debugging Sequence-to-Sequence Models with Seq2Seq-Vis.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
booc.io: An Education System with Hierarchical Concept Maps and Dynamic Non-linear Learning Plans.
IEEE Trans. Vis. Comput. Graph., 2017

Screenit: Visual Analysis of Cellular Screens.
IEEE Trans. Vis. Comput. Graph., 2017

2016
Errata to "Guidelines for Effective Usage of Text Highlighting Techniques" [1].
IEEE Trans. Vis. Comput. Graph., 2016

Guidelines for Effective Usage of Text Highlighting Techniques.
IEEE Trans. Vis. Comput. Graph., 2016

Vials: Visualizing Alternative Splicing of Genes.
IEEE Trans. Vis. Comput. Graph., 2016

Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks.
CoRR, 2016

2014
ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery.
IEEE Trans. Vis. Comput. Graph., 2014

UpSet: Visualization of Intersecting Sets.
IEEE Trans. Vis. Comput. Graph., 2014

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.
IEEE Trans. Vis. Comput. Graph., 2014

Comparative Exploration of Document Collections: a Visual Analytics Approach.
Comput. Graph. Forum, 2014

Ontologies in Biological Data Visualization.
IEEE Computer Graphics and Applications, 2014

2012
Visualization of Large Document Corpora.
PhD thesis, 2012

Interactive Level-of-Detail Rendering of Large Graphs.
IEEE Trans. Vis. Comput. Graph., 2012

Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives.
Comput. Graph. Forum, 2012

Document Thumbnails with Variable Text Scaling.
Comput. Graph. Forum, 2012

HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform.
BMC Bioinform., 2012

Interactive Visualization for Real-time Public Transport Journey Planning.
Proceedings of SIGRAD 2012, 2012

2011
Improving Stability and Compactness in Street Layout Visualizations.
Proceedings of the 16th International Workshop on Vision, Modeling, and Visualization, 2011

HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments.
Proceedings of the 2011 IEEE Symposium on Biological Data Visualization, 2011

2010
Advanced Visualizations of Large Document Collections.
Proceedings of the Joint Workshop of the German Research Training Groups in Computer Science, 2010

2009
Document Cards: A Top Trumps Visualization for Documents.
IEEE Trans. Vis. Comput. Graph., 2009


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