Neil Toronto

According to our database, Neil Toronto authored at least 13 papers between 2006 and 2024.

Collaborative distances:

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

2024

Solving Data-centric Tasks using Large Language Models.

Shraddha Barke, Christian Pölitz, Carina Negreanu, Benjamin Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models.

Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Benjamin G. Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2019

Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty.

Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Kenton P. O'Hara, Neil Toronto

CoRR, 2019

End-User Probabilistic Programming.

Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto

Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019

2018

Calculation View: multiple-representation editing in spreadsheets.

Advait Sarkar, Andrew D. Gordon, Simon Peyton Jones, Neil Toronto

Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

2015

Running Probabilistic Programs Backwards.

Neil Toronto, Jay McCarthy, David Van Horn

Proceedings of the Programming Languages and Systems, 2015

2014

Practically Accurate Floating-Point Math.

Neil Toronto, Jay McCarthy

Comput. Sci. Eng., 2014

2013

Experience report: applying random testing to a base type environment.

Vincent St-Amour, Neil Toronto

Proceedings of the ACM SIGPLAN International Conference on Functional Programming, 2013

2012

Computing in Cantor's Paradise with λ ZFC.

Neil Toronto, Jay McCarthy

Proceedings of the Functional and Logic Programming - 11th International Symposium, 2012

2010

From Bayesian Notation to Pure Racket via Discrete Measure-Theoretic Probability in λ ZFC.

Neil Toronto, Jay McCarthy

Proceedings of the Implementation and Application of Functional Languages, 2010

2009

Super-resolution via recapture and Bayesian effect modeling.

Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

The Hough Transform's Implicit Bayesian Foundation.

Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi

Proceedings of the International Conference on Image Processing, 2007

2006

Learning Quantum Operators From Quantum State Pairs.

Neil Toronto, Dan Ventura

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006