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Hendrik Strobelt
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics

May 22, 2020
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cicero dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic


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Semantic Photo Manipulation with a Generative Image Prior

May 15, 2020
David Bau, Hendrik Strobelt, William Peebles, Jonas, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba

* Bau, David, et al. "Semantic photo manipulation with a generative image prior." ACM Transactions on Graphics (TOG) 38.4 (2019) 
 * SIGGRAPH 2019 
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Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Apr 02, 2020
Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Ben Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic


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Seeing What a GAN Cannot Generate

Oct 24, 2019
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba

* ICCV 2019 oral; http://ganseeing.csail.mit.edu/ 
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exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models

Oct 11, 2019
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann


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ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion

Oct 02, 2019
Andreas Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit


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Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures

Jul 30, 2019
Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt


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Visual Interaction with Deep Learning Models through Collaborative Semantic Inference

Jul 24, 2019
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush

* IEEE VIS 2019 (VAST) 
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GLTR: Statistical Detection and Visualization of Generated Text

Jun 10, 2019
Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush

* ACL 2019 Demo Track 
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Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Jan 29, 2019
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

* In AAAI-19 workshop on Network Interpretability for Deep Learning arXiv admin note: substantial text overlap with arXiv:1811.10597 
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NeuNetS: An Automated Synthesis Engine for Neural Network Design

Jan 17, 2019
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 Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati

* 14 pages, 12 figures. arXiv admin note: text overlap with arXiv:1806.00250 
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Progressive Data Science: Potential and Challenges

Dec 19, 2018
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu


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GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Dec 08, 2018
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

* 18 pages, 19 figures 
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Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models

Oct 16, 2018
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush

* VAST - IEEE VIS 2018 
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LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

Oct 30, 2017
Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, Alexander M. Rush

* InfoVis 2017 
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