Mike Wu

According to our database, Mike Wu authored at least 50 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Extensions and applications of deep probabilistic inference for generative models.

Mike Wu

PhD thesis, 2022

Constant Power Root Market Makers.

Mike Wu, Will McTighe

CoRR, 2022

Know Thy Student: Interactive Learning with Gaussian Processes.

Rose E. Wang, Mike Wu, Noah D. Goodman

CoRR, 2022

Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and Tornado Cash.

Mike Wu, Will McTighe, Kaili Wang, István András Seres, Nick Bax, Manuel Puebla, Mariano Mendez, Federico Carrone, Tomás De Mattey, Herman O. Demaestri, Mariano Nicolini, Pedro Fontana

CoRR, 2022

Foundation Posteriors for Approximate Probabilistic Inference.

Mike Wu, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimizing for Interpretability in Deep Neural Networks with Tree Regularization.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez

J. Artif. Intell. Res., 2021

Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study.

Ananya Karthik, Mike Wu, Noah D. Goodman, Alex Tamkin

CoRR, 2021

Temperature as Uncertainty in Contrastive Learning.

Oliver Zhang, Mike Wu, Jasmine Bayrooti, Noah D. Goodman

CoRR, 2021

Modeling Item Response Theory with Stochastic Variational Inference.

Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman

CoRR, 2021

ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback.

Mike Wu, Noah D. Goodman, Chris Piech, Chelsea Finn

CoRR, 2021

Improving Compositionality of Neural Networks by Decoding Representations to Inputs.

Mike Wu, Noah D. Goodman, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conditional Negative Sampling for Contrastive Learning of Visual Representations.

Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins, Noah D. Goodman

Proceedings of the 9th International Conference on Learning Representations, 2021

Viewmaker Networks: Learning Views for Unsupervised Representation Learning.

Alex Tamkin, Mike Wu, Noah D. Goodman

Proceedings of the 9th International Conference on Learning Representations, 2021

Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems.

Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

HarperValleyBank: A Domain-Specific Spoken Dialog Corpus.

Mike Wu, Jonathan Nafziger, Anthony Scodary, Andrew Maas

CoRR, 2020

A Simple Framework for Uncertainty in Contrastive Learning.

Mike Wu, Noah D. Goodman

CoRR, 2020

On Mutual Information in Contrastive Learning for Visual Representations.

Mike Wu, Chengxu Zhuang, Milan Mosse, Daniel Yamins, Noah D. Goodman

CoRR, 2020

Variational Item Response Theory: Fast, Accurate, and Expressive.

Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Regional Tree Regularization for Interpretability in Deep Neural Networks.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Meta-Amortized Variational Inference and Learning.

Mike Wu, Kristy Choi, Noah D. Goodman, Stefano Ermon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multimodal Generative Models for Compositional Representation Learning.

Mike Wu, Noah D. Goodman

CoRR, 2019

Gradient Boosting Machine: A Survey.

Zhiyuan He, Danchen Lin, Thomas Lau, Mike Wu

CoRR, 2019

Regional Tree Regularization for Interpretability in Black Box Models.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

CoRR, 2019

Generative Grading: Neural Approximate Parsing for Automated Student Feedback.

Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, John Mitchell, Noah D. Goodman, Chris Piech

CoRR, 2019

Pragmatic inference and visual abstraction enable contextual flexibility during visual communication.

Judith W. Fan, Robert X. D. Hawkins, Mike Wu, Noah D. Goodman

CoRR, 2019

Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference.

Mike Wu, Noah D. Goodman, Stefano Ermon

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference.

Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multimodal Generative Models for Scalable Weakly-Supervised Learning.

Mike Wu, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability.

Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.

Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez

J. Am. Medical Informatics Assoc., 2017

Predicting intervention onset in the ICU with switching state space models.

Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, Finale Doshi-Velez

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

Position and Vector Detection of Blind Spot motion with the Horn-Schunck Optical Flow.

Stephen Yu, Mike Wu

CoRR, 2016

Spreadsheet Probabilistic Programming.

Mike Wu, Yura N. Perov, Frank D. Wood, Hongseok Yang

CoRR, 2016

2015

Financial Market Prediction.

Mike Wu

CoRR, 2015

2012

Towards Ease of Building Legos in Assessing eHealth Language Technologies A RESTful Laboratory for Data and Software.

Hanna Suominen, Karl Kreiner, Mike Wu, Leif Hanlen

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2010

Field evaluation of a collaborative memory aid for persons with amnesia and their family members.

Mike Wu, Ronald M. Baecker, Brian Richards

Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility, 2010

2009

An exploration of social requirements for exercise group formation.

Mike Wu, Abhishek Ranjan, Khai N. Truong

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008

Lifelong Interactions - Memory impairment is a family affair.

Mike Wu

Interactions, 2008

Collaborating to remember: a distributed cognition account of families coping with memory impairments.

Mike Wu, Jeremy P. Birnholtz, Brian Richards, Ronald Baecker, Michael Massimi

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2006

Informing the Design of Direct-Touch Tabletops.

Chia Shen, Kathy Ryall, Clifton Forlines, Alan Esenther, Frédéric Vernier, Katherine Everitt, Mike Wu, Daniel Wigdor, Meredith Ringel Morris, Mark S. Hancock, Edward Tse

IEEE Computer Graphics and Applications, 2006

Gesture Registration, Relaxation, and Reuse for Multi-Point Direct-Touch Surfaces.

Mike Wu, Chia Shen, Kathy Ryall, Clifton Forlines, Ravin Balakrishnan

Proceedings of the First IEEE International Workshop on Horizontal Interactive Human-Computer Systems (Tabletop 2006), 2006

ViCAT: Visualisation and Interaction on a Collaborative Access Table.

Fang Chen, Peter Eades, Julien Epps, Serge Lichman, Benjamin Close, Peter Hutterer, Masahiro Takatsuka, Bruce H. Thomas, Mike Wu

Proceedings of the First IEEE International Workshop on Horizontal Interactive Human-Computer Systems (Tabletop 2006), 2006

A study of hand shape use in tabletop gesture interaction.

Julien Epps, Serge Lichman, Mike Wu

Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

2005

Under My Finger: Human Factors in Pushing and Rotating Documents Across the Table.

Clifton Forlines, Chia Shen, Frédéric Vernier, Mike Wu

Proceedings of the Human-Computer Interaction, 2005

A study of manual gesture-based selection for the PEMMI multimodal transport management interface.

Fang Chen, Eric H. C. Choi, Julien Epps, Serge Lichman, Natalie Ruiz, Yu (David) Shi, Ronnie Taib, Mike Wu

Proceedings of the 7th International Conference on Multimodal Interfaces, 2005

Participatory design of an orientation aid for amnesics.

Mike Wu, Ronald Baecker, Brian Richards

Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

2004

Participatory design with individuals who have amnesia.

Mike Wu, Brian Richards, Ronald Baecker

Proceedings of the Eighth Conference on Participatory Design: Artful Integration: Interweaving Media, 2004

2003

Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays.

Mike Wu, Ravin Balakrishnan

Proceedings of the 16th Annual ACM Symposium on User Interface Software and Technology, 2003

Decomposition of speech into voiced and unvoiced components based on a state-space signal model.

Mark Thomson, Simon Boland, Mike Wu, Julien Epps, Michael Smithers

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Primeclimb: Designing to Facilitate Mediated Collaborative Inquiry.

James Dai, Mike Wu, Jonathan Cohen, Maria M. Klawe

Proceedings of the Designing for Change in Networked Learning Environments, 2003