Martin Wattenberg

123 papers A* 21A 5Journal 71Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decomposing Query-Key Feature Interactions Using Contrastive Covariances. CoRR Andrew Lee, Yonatan Belinkov, Fernanda B. Viégas, Martin Wattenberg
2026	J	`jnl`	Story Ribbons: Reimagining Storyline Visualizations with Large Language Models. IEEE Trans. Vis. Comput. Graph. Catherine Yeh, Tara Menon, Robin Singh Arya, Helen He, Moira Weigel, Fernanda B. Viégas, Martin Wattenberg
2026	J	`jnl`	Think Before You Lie: How Reasoning Leads to Honesty. CoRR Ann Yuan, Asma Ghandeharioun, Carter Blum, Alicia Machado, Jessica Hoffmann, Daphne Ippolito, Martin Wattenberg, Lucas Dixon, Katja Filippova
2025	A*	`conf`	Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. ICML Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025	J	`jnl`	Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. CoRR Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025	J	`jnl`	Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics. CoRR Carter Blum, Katja Filippova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva
2025	J	`jnl`	Can Interpretation Predict Behavior on Unseen Data? CoRR Victoria R. Li, Jenny Kaufmann, Martin Wattenberg, David Alvarez-Melis, Naomi Saphra
2025	J	`jnl`	Chronotome: Real-Time Topic Modeling for Streaming Embedding Spaces. CoRR Matte Lim, Catherine Yeh, Martin Wattenberg, Fernanda B. Viégas, Panagiotis Michalatos
2025	J	`jnl`	Does visualization help AI understand data? CoRR Victoria R. Li, Johnathan Sun, Martin Wattenberg
2025	A*	`conf`	ICLR: In-Context Learning of Representations. ICLR Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025	J	`jnl`	ICLR: In-Context Learning of Representations. CoRR Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025	J	`jnl`	Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry. CoRR Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg
2025	J	`jnl`	Open Problems in Mechanistic Interpretability. CoRR Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeff Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, Eric J. Michaud, Stephen Casper, Max Tegmark, William Saunders, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath
2025	J	`jnl`	Open Problems in Mechanistic Interpretability. Trans. Mach. Learn. Res. Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath
2025	J	`jnl`	Priors in Time: Missing Inductive Biases for Language Model Interpretability. CoRR Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Greta Tuckute, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Daniel Wurgaft, Eric J. Bigelow, Johnny Lin, Demba E. Ba, Martin Wattenberg, Fernanda B. Viégas, Melanie Weber, Aaron Mueller
2025	J	`jnl`	Shared Global and Local Geometry of Language Model Embeddings. CoRR Andrew Lee, Melanie Weber, Fernanda B. Viégas, Martin Wattenberg
2025	J	`jnl`	Story Ribbons: Reimagining Storyline Visualizations with Large Language Models. CoRR Catherine Yeh, Tara Menon, Robin Singh Arya, Helen He, Moira Weigel, Fernanda B. Viégas, Martin Wattenberg
2025	J	`jnl`	The Geometry of Self-Verification in a Task-Specific Reasoning Model. CoRR Andrew Lee, Lihao Sun, Chris Wendler, Fernanda B. Viégas, Martin Wattenberg
2025	J	`jnl`	What Does it Mean for a Neural Network to Learn a "World Model"? CoRR Kenneth Li, Fernanda B. Viégas, Martin Wattenberg
2025	A*	`conf`	When Bad Data Leads to Good Models. ICML Kenneth Li, Yida Chen, Fernanda B. Viégas, Martin Wattenberg
2025	J	`jnl`	When Bad Data Leads to Good Models. CoRR Kenneth Li, Yida Chen, Fernanda B. Viégas, Martin Wattenberg
2025	J	`jnl`	Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls. CoRR Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart M. Shieber, Fernanda B. Viégas, Martin Wattenberg, Andrew Lee
2024	A*	`conf`	A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. ICML Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea
2024	J	`jnl`	A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. CoRR Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea
2024	J	`jnl`	AttentionViz: A Global View of Transformer Attention. IEEE Trans. Vis. Comput. Graph. Catherine Yeh, Yida Chen, Aoyu Wu, Cynthia Chen, Fernanda B. Viégas, Martin Wattenberg
2024	A*	`conf`	ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing. CHI Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman
2024	J	`jnl`	Designing a Dashboard for Transparency and Control of Conversational AI. CoRR Yida Chen, Aoyu Wu, Trevor DePodesta, Catherine Yeh, Kenneth Li, Nicholas Castillo Marin, Oam Patel, Jan Riecke, Shivam Raval, Olivia Seow, Martin Wattenberg, Fernanda B. Viégas
2024	J	`jnl`	Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner. CoRR Kenneth Li, Yiming Wang, Fernanda B. Viégas, Martin Wattenberg
2024	A	`conf`	Hypertrix: An indicatrix for high-dimensional visualizations. IEEE VIS Shivam Raval, Fernanda B. Viégas, Martin Wattenberg
2024	A*	`conf`	Linearity of Relation Decoding in Transformer Language Models. ICLR Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
2024	J	`jnl`	Measuring and Controlling Persona Drift in Language Model Dialogs. CoRR Kenneth Li, Tianle Liu, Naomi Bashkansky, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg
2024	A*	`conf`	Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. ICML Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener
2024	J	`jnl`	Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. CoRR Kenneth Li, Samy Jelassi, Hugh Zhang, Sham M. Kakade, Martin Wattenberg, David Brandfonbrener
2024	J	`jnl`	Relational Composition in Neural Networks: A Survey and Call to Action. CoRR Martin Wattenberg, Fernanda B. Viégas
2023	J	`jnl`	AI Alignment in the Design of Interactive AI: Specification Alignment, Process Alignment, and Evaluation Support. CoRR Michael Terry, Chinmay Kulkarni, Martin Wattenberg, Lucas Dixon, Meredith Ringel Morris
2023	J	`jnl`	AttentionViz: A Global View of Transformer Attention. CoRR Catherine Yeh, Yida Chen, Aoyu Wu, Cynthia Chen, Fernanda B. Viégas, Martin Wattenberg
2023	J	`jnl`	Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model. CoRR Yida Chen, Fernanda B. Viégas, Martin Wattenberg
2023	J	`jnl`	ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing. CoRR Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman
2023	—	`conf`	ChainForge: An open-source visual programming environment for prompt engineering. UIST (Adjunct Volume) Ian Arawjo, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman
2023	—	`conf`	Emergent Linear Representations in World Models of Self-Supervised Sequence Models. BlackboxNLP@EMNLP Neel Nanda, Andrew Lee, Martin Wattenberg
2023	J	`jnl`	Emergent Linear Representations in World Models of Self-Supervised Sequence Models. CoRR Neel Nanda, Andrew Lee, Martin Wattenberg
2023	A*	`conf`	Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task. ICLR Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg
2023	—	`conf`	Explain-and-Test: An Interactive Machine Learning Framework for Exploring Text Embeddings. IEEE VIS (Short Papers) Shivam Raval, Carolyn Wang, Fernanda B. Viégas, Martin Wattenberg
2023	J	`jnl`	Grand Challenges in Visual Analytics Applications. IEEE Computer Graphics and Applications Aoyu Wu, Dazhen Deng, Min Chen, Shixia Liu, Daniel A. Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda B. Viégas, Martin Wattenberg
2023	A*	`conf`	Inference-Time Intervention: Eliciting Truthful Answers from a Language Model. NeurIPS Kenneth Li, Oam Patel, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg
2023	J	`jnl`	Inference-Time Intervention: Eliciting Truthful Answers from a Language Model. CoRR Kenneth Li, Oam Patel, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg
2023	A*	`conf`	Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook. CHI Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas
2023	J	`jnl`	Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook. CoRR Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas
2023	J	`jnl`	Linearity of Relation Decoding in Transformer Language Models. CoRR Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
2023	J	`jnl`	The System Model and the User Model: Exploring AI Dashboard Design. CoRR Fernanda B. Viégas, Martin Wattenberg
2022	J	`jnl`	Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task. CoRR Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg
2022	J	`jnl`	Interpreting a Machine Learning Model for Detecting Gravitational Waves. CoRR Mohammadtaher Safarzadeh, Asad Khan, Eliu A. Huerta, Martin Wattenberg
2022	J	`jnl`	Toy Models of Superposition. CoRR Nelson Elhage, Tristan Hume, Catherine Olsson, Nicholas Schiefer, Tom Henighan, Shauna Kravec, Zac Hatfield-Dodds, Robert Lasenby, Dawn Drain, Carol Chen, Roger B. Grosse, Sam McCandlish, Jared Kaplan, Dario Amodei, Martin Wattenberg, Christopher Olah
2021	J	`jnl`	An Interpretability Illusion for BERT. CoRR Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg
2020	J	`jnl`	"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity? CoRR Allison Woodruff, Yasmin Asare Anderson, Katherine Jameson Armstrong, Marina Gkiza, Jay Jennings, Christopher Moessner, Fernanda B. Viégas, Martin Wattenberg, Lynette Webb, Fabian Wrede, Patrick Gage Kelley
2020	J	`jnl`	The What-If Tool: Interactive Probing of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
2019	J	`jnl`	Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure. CoRR Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio
2019	J	`jnl`	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. IEEE Trans. Vis. Comput. Graph. Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viégas, Martin Wattenberg
2019	A*	`conf`	Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. CHI Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda B. Viégas, Gregory S. Corrado, Martin C. Stumpe, Michael Terry
2019	J	`jnl`	Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making. CoRR Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda B. Viégas, Gregory S. Corrado, Martin C. Stumpe, Michael Terry
2019	—	`conf`	TensorFlow.js: Machine Learning For The Web and Beyond. SysML Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg
2019	J	`jnl`	TensorFlow.js: Machine Learning for the Web and Beyond. CoRR Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg
2019	J	`jnl`	The What-If Tool: Interactive Probing of Machine Learning Models. CoRR James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
2019	A*	`conf`	Visualizing and Measuring the Geometry of BERT. NeurIPS Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viégas, Andy Coenen, Adam Pearce, Been Kim
2019	J	`jnl`	Visualizing and Measuring the Geometry of BERT. CoRR Andy Coenen, Emily Reif, Ann Yuan, Been Kim, Adam Pearce, Fernanda B. Viégas, Martin Wattenberg
2018	—	`conf`	Adversarial Spheres. ICLR (Workshop) Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow
2018	J	`jnl`	Adversarial Spheres. CoRR Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow
2018	J	`jnl`	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. CoRR Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg
2018	A*	`conf`	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV). ICML Been Kim, Martin Wattenberg, Justin Gilmer, Carrie J. Cai, James Wexler, Fernanda B. Viégas, Rory Sayres
2018	J	`jnl`	Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow. IEEE Trans. Vis. Comput. Graph. Kanit Wongsuphasawat, Daniel Smilkov, James Wexler, Jimbo Wilson, Dandelion Mané, Doug Fritz, Dilip Krishnan, Fernanda B. Viégas, Martin Wattenberg
2017	J	`jnl`	Direct-Manipulation Visualization of Deep Networks. CoRR Daniel Smilkov, Shan Carter, D. Sculley, Fernanda B. Viégas, Martin Wattenberg
2017	J	`jnl`	Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation. Trans. Assoc. Comput. Linguistics Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda B. Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean
2017	J	`jnl`	SmoothGrad: removing noise by adding noise. CoRR Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda B. Viégas, Martin Wattenberg
2016	J	`jnl`	Embedding Projector: Interactive Visualization and Interpretation of Embeddings. CoRR Daniel Smilkov, Nikhil Thorat, Charles Nicholson, Emily Reif, Fernanda B. Viégas, Martin Wattenberg
2016	J	`jnl`	Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation. CoRR Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda B. Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean
2016	J	`jnl`	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2014	J	`jnl`	Visualizing Statistical Mix Effects and Simpson's Paradox. IEEE Trans. Vis. Comput. Graph. Zan Armstrong, Martin Wattenberg
2013	A*	`conf`	Ad click prediction: a view from the trenches. KDD H. Brendan McMahan, Gary Holt, David Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica
2013	A*	`conf`	Google+Ripples: a native visualization of information flow. WWW Fernanda B. Viégas, Martin Wattenberg, Jack Hebert, Geoffrey Borggaard, Alison Cichowlas, Jonathan Feinberg, Jon Orwant, Christopher Richard Wren
2012	A	`conf`	Through the looking glass: talking about the world with visualization. SIGCSE Fernanda B. Viégas, Martin Wattenberg
2010	—	`ch.`	Beautiful History: Visualizing Wikipedia. Beautiful Visualization Martin Wattenberg, Fernanda B. Viégas
2009	A*	`conf`	An intuitive model of perceptual grouping for HCI design. CHI Ruth Rosenholtz, Nathaniel R. Twarog, Nadja Schinkel-Bielefeld, Martin Wattenberg
2009	J	`jnl`	Mapping Text with Phrase Nets. IEEE Trans. Vis. Comput. Graph. Frank van Ham, Martin Wattenberg, Fernanda B. Viégas
2009	—	`conf`	Parallel Tag Clouds to explore and analyze faceted text corpora. IEEE VAST Christopher Collins, Fernanda B. Viégas, Martin Wattenberg
2009	J	`jnl`	Participatory Visualization with Wordle. IEEE Trans. Vis. Comput. Graph. Fernanda B. Viégas, Martin Wattenberg, Jonathan Feinberg
2009	A	`conf`	The Art of Cheating When Drawing a Graph. GD Martin Wattenberg
2009	—	`conf`	Transforming data access through public visualization. SIGMOD Conference Fernanda B. Viégas, Martin Wattenberg
2009	—	`conf`	Visualizing the inner lives of texts. Int. Sym. Wikis Fernanda B. Viégas, Martin Wattenberg
2009	J	`jnl`	Voyagers and voyeurs: Supporting asynchronous collaborative visualization. Commun. ACM Jeffrey Heer, Fernanda B. Viégas, Martin Wattenberg
2008	J	`jnl`	Centrality Based Visualization of Small World Graphs. Comput. Graph. Forum Frank van Ham, Martin Wattenberg
2008	—	`conf`	Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage of Visualization Tools. HICSS Fernanda B. Viégas, Martin Wattenberg, Matthew M. McKeon, Frank van Ham, Jesse Kriss
2008	—	`conf`	Shakespeare, god, and lonely hearts: transforming data access with many eyes. JCDL Fernanda B. Viégas, Martin Wattenberg
2008	—	`conf`	Social data analysis workshop. CHI Extended Abstracts Fernanda B. Viégas, Martin Wattenberg, Jeffrey Heer, Maneesh Agrawala
2008	J	`jnl`	Stacked Graphs - Geometry & Aesthetics. IEEE Trans. Vis. Comput. Graph. Lee Byron, Martin Wattenberg
2008	J	`jnl`	The Word Tree, an Interactive Visual Concordance. IEEE Trans. Vis. Comput. Graph. Martin Wattenberg, Fernanda B. Viégas
2008	J	`jnl`	Timelines - Tag clouds and the case for vernacular visualization. Interactions Fernanda B. Viégas, Martin Wattenberg
2008	A*	`conf`	Your place or mine?: visualization as a community component. CHI Catalina M. Danis, Fernanda B. Viégas, Martin Wattenberg, Jesse Kriss
2007	—	`conf`	Artistic Data Visualization: Beyond Visual Analytics. HCI (15) Fernanda B. Viégas, Martin Wattenberg
2007	J	`jnl`	ManyEyes: a Site for Visualization at Internet Scale. IEEE Trans. Vis. Comput. Graph. Fernanda B. Viégas, Martin Wattenberg, Frank van Ham, Jesse Kriss, Matthew M. McKeon
2007	—	`conf`	Talk Before You Type: Coordination in Wikipedia. HICSS Fernanda B. Viégas, Martin Wattenberg, Jesse Kriss, Frank van Ham
2007	—	`conf`	The Hidden Order of Wikipedia. HCI (15) Fernanda B. Viégas, Martin Wattenberg, Matthew M. McKeon
2007	—	`conf`	Visualizing Activity on Wikipedia with Chromograms. INTERACT (2) Martin Wattenberg, Fernanda B. Viégas, Katherine J. Hollenbach
2007	A*	`conf`	Voyagers and voyeurs: supporting asynchronous collaborative information visualization. CHI Jeffrey Heer, Fernanda B. Viégas, Martin Wattenberg
2006	J	`jnl`	Designing for Social Data Analysis. IEEE Trans. Vis. Comput. Graph. Martin Wattenberg, Jesse Kriss
2006	J	`jnl`	Technical forum: Communication-minded visualization: A call to action. IBM Syst. J. Fernanda B. Viégas, Martin Wattenberg
2006	A*	`conf`	Visual exploration of multivariate graphs. CHI Martin Wattenberg
2005	—	`conf`	A Note on Space-Filling Visualizations and Space-Filling Curves. INFOVIS Martin Wattenberg
2005	—	`conf`	Baby Names, Visualization, and Social Data Analysis. INFOVIS Martin Wattenberg
2005	J	`jnl`	E-Mail Research: Targeting the Enterprise. Hum. Comput. Interact. Martin Wattenberg, Steven L. Rohall, Daniel M. Gruen, Bernard Kerr
2004	J	`jnl`	Analyzing perceptual organization in information graphics. Inf. Vis. Martin Wattenberg, Danyel Fisher
2004	A	`conf`	Flash forums and forumReader: navigating a new kind of large-scale online discussion. CSCW Kushal Dave, Martin Wattenberg, Michael J. Muller
2004	A	`conf`	Lessons from the reMail prototypes. CSCW Dan Gruen, Steven L. Rohall, Suzanne O. Minassian, Bernard Kerr, Paul Moody, Bob Stachel, Martin Wattenberg, Eric Wilcox
2004	—	`conf`	ReMail: a reinvented email prototype. CHI Extended Abstracts Steven L. Rohall, Dan Gruen, Paul Moody, Martin Wattenberg, Mia K. Stern, Bernard Kerr, Bob Stachel, Kushal Dave, Robert Armes, Eric Wilcox
2004	A*	`conf`	Studying cooperation and conflict between authors with CHI Fernanda B. Viégas, Martin Wattenberg, Kushal Dave
2003	—	`conf`	A Model of Multi-Scale Perceptual Organization in Information Graphics. INFOVIS Martin Wattenberg, Danyel Fisher
2003	—	`conf`	Conversation thumbnails for large-scale discussions. CHI Extended Abstracts Martin Wattenberg, David R. Millen
2002	—	`conf`	Arc Diagrams: Visualizing Structure in Strings. INFOVIS Martin Wattenberg
2002	J	`jnl`	Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies. ACM Trans. Graph. Benjamin B. Bederson, Ben Shneiderman, Martin Wattenberg
2001	—	`conf`	Ordered Treemap Layouts. INFOVIS Ben Shneiderman, Martin Wattenberg
2001	—	`conf`	Sketching a graph to query a time-series database. CHI Extended Abstracts Martin Wattenberg
1999	A*	`conf`	A Fuzzy Commitment Scheme. CCS Ari Juels, Martin Wattenberg
1999	—	`conf`	Visualizing the stock market. CHI Extended Abstracts Martin Wattenberg
1995	—	`conf`	Stochastic Hillclimbing as a Baseline Mathod for Evaluating Genetic Algorithms. NIPS Ari Juels, Martin Wattenberg