Extensions and applications of deep probabilistic inference for generative models - Mike Wu (Stanford University, USA, 2022)

Foundation Posteriors for Approximate Probabilistic Inference - Mike Wu; Noah D. Goodman (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 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)

Know Thy Student: Interactive Learning with Gaussian Processes - Rose E. Wang; Mike Wu; Noah D. Goodman (CoRR, 2022)

Constant Power Root Market Makers - Mike Wu; Will McTighe (CoRR, 2022)

Foundation Posteriors for Approximate Probabilistic Inference - Mike Wu; Noah D. Goodman (CoRR, 2022)

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)

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, EDM 2021, virtual, June 29 - July 2, 2021, 2021)

Viewmaker Networks: Learning Views for Unsupervised Representation Learning - Alex Tamkin; Mike Wu; Noah D. Goodman (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Conditional Negative Sampling for Contrastive Learning of Visual Representations - Mike Wu; Milan Mosse; Chengxu Zhuang; Daniel Yamins; Noah D. Goodman (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Improving Compositionality of Neural Networks by Decoding Representations to Inputs - Mike Wu; Noah D. Goodman; Stefano Ermon (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Improving Compositionality of Neural Networks by Decoding Representations to Inputs - Mike Wu; Noah D. Goodman; Stefano Ermon (CoRR, 2021)

ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback - Mike Wu; Noah D. Goodman; Chris Piech; Chelsea Finn (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)

Temperature as Uncertainty in Contrastive Learning - Oliver Zhang; Mike Wu; Jasmine Bayrooti; Noah D. Goodman (CoRR, 2021)

Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study - Ananya Karthik; Mike Wu; Noah D. Goodman; Alex Tamkin (CoRR, 2021)

Meta-Amortized Variational Inference and Learning - Mike Wu; Kristy Choi; Noah D. Goodman; Stefano Ermon (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 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 (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 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, EDM 2020, Fully virtual conference, July 10-13, 2020, 2020)

Variational Item Response Theory: Fast, Accurate, and Expressive - Mike Wu; Richard Lee Davis; Benjamin W. Domingue; Chris Piech; 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)

Conditional Negative Sampling for Contrastive Learning of Visual Representations - Mike Wu; Milan Mosse; Chengxu Zhuang; Daniel Yamins; Noah D. Goodman (CoRR, 2020)

A Simple Framework for Uncertainty in Contrastive Learning - Mike Wu; Noah D. Goodman (CoRR, 2020)

Viewmaker Networks: Learning Views for Unsupervised Representation Learning - Alex Tamkin; Mike Wu; Noah D. Goodman (CoRR, 2020)

HarperValleyBank: A Domain-Specific Spoken Dialog Corpus - Mike Wu; Jonathan Nafziger; Anthony Scodary; Andrew Maas (CoRR, 2020)

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference - Mike Wu; Milan Mosse; Noah D. Goodman; Chris Piech (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference - Mike Wu; Noah D. Goodman; Stefano Ermon (The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, 2019)

Meta-Amortized Variational Inference and Learning - Kristy Choi; Mike Wu; Noah D. Goodman; Stefano Ermon (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)

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)

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)

Optimizing for Interpretability in Deep Neural Networks with Tree Regularization - Mike Wu; Sonali Parbhoo; Michael C. Hughes; Volker Roth; Finale Doshi-Velez (CoRR, 2019)

Gradient Boosting Machine: A Survey - Zhiyuan He; Danchen Lin; Thomas Lau; Mike Wu (CoRR, 2019)

Multimodal Generative Models for Compositional Representation Learning - Mike Wu; Noah D. Goodman (CoRR, 2019)

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, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Multimodal Generative Models for Scalable Weakly-Supervised Learning - Mike Wu; Noah D. Goodman (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Multimodal Generative Models for Scalable Weakly-Supervised Learning - Mike Wu; Noah D. Goodman (CoRR, 2018)

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference - Mike Wu; Milan Mosse; Noah D. Goodman; Chris Piech (CoRR, 2018)

Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference - Mike Wu; Noah D. Goodman; Stefano Ermon (CoRR, 2018)

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 (Summit on Clinical Research Informatics, CRI 2017, San Francisco, CA, USA, March 27-30, 2017, 2017)

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability - Mike Wu; Michael C. Hughes; Sonali Parbhoo; Maurizio Zazzi; Volker Roth; Finale Doshi-Velez (CoRR, 2017)

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)

Financial Market Prediction - Mike Wu (CoRR, 2015)

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 (CLEF 2012 Evaluation Labs and Workshop, Online Working Notes, Rome, Italy, September 17-20, 2012, 2012)

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, ASSETS 2010, Orlando, FL, USA, October 25 - 27, 2010, 2010)

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, CHI 2009, Boston, MA, USA, April 4-9, 2009, 2009)

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, CHI 2008, 2008, Florence, Italy, April 5-10, 2008, 2008)

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)

A study of hand shape use in tabletop gesture interaction - Julien Epps; Serge Lichman; Mike Wu (Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, CHI 2006, Montréal, Québec, Canada, April 22-27, 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 (First IEEE International Workshop on Horizontal Interactive Human-Computer Systems (Tabletop 2006), 5-7 January 2006, Adelaide, Australia, 2006)

Gesture Registration, Relaxation, and Reuse for Multi-Point Direct-Touch Surfaces - Mike Wu; Chia Shen; Kathy Ryall; Clifton Forlines; Ravin Balakrishnan (First IEEE International Workshop on Horizontal Interactive Human-Computer Systems (Tabletop 2006), 5-7 January 2006, Adelaide, Australia, 2006)

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, CHI 2005, Portland, Oregon, USA, April 2-7, 2005, 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, ICMI 2005, Trento, Italy, October 4-6, 2005, 2005)

Under My Finger: Human Factors in Pushing and Rotating Documents Across the Table - Clifton Forlines; Chia Shen; Frédéric Vernier; Mike Wu (Human-Computer Interaction - INTERACT 2005, IFIP TC13 International Conference, Rome, Italy, September 12-16, 2005, Proceedings, 2005)

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, Materials and Practices, PDC 2004, Toronto, Ontario, Canada, July 27-31, 2004, 2004)

Primeclimb: Designing to Facilitate Mediated Collaborative Inquiry - James Dai; Mike Wu; Jonathan Cohen; Maria M. Klawe (Designing for Change in Networked Learning Environments, Proceedings of the International Conference on Computer Support for Collaborative Learning, CSCL 2003, Bergen, Norway, June 14-18, 2003, 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 (2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003, 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, Vancouver, Canada, November 2-5, 2003, 2003)