Edge inference for image interpolation. - Neil Toronto; Dan Ventura; Bryan S. Morse (IJCNN, 2005)

Learning Quantum Operators From Quantum State Pairs. - Neil Toronto; Dan Ventura (IEEE Congress on Evolutionary Computation, 2006)

The Hough Transform's Implicit Bayesian Foundation. - Neil Toronto; Bryan S. Morse; Dan Ventura; Kevin D. Seppi (ICIP (4), 2007)

Super-resolution via recapture and Bayesian effect modeling. - Neil Toronto; Bryan S. Morse; Kevin D. Seppi; Dan Ventura (CVPR, 2009)

From Bayesian Notation to Pure Racket via Discrete Measure-Theoretic Probability in λ ZFC. - Neil Toronto; Jay McCarthy (IFL, 2010)

Computing in Cantor's Paradise with λ ZFC. - Neil Toronto; Jay McCarthy (FLOPS, 2012)

Experience report: applying random testing to a base type environment. - Vincent St-Amour; Neil Toronto (ICFP, 2013)

Practically Accurate Floating-Point Math. - Neil Toronto; Jay McCarthy (Comput. Sci. Eng., 2014)

Running Probabilistic Programs Backwards. - Neil Toronto; Jay McCarthy; David Van Horn (ESOP, 2015)

Calculation View: multiple-representation editing in spreadsheets. - Advait Sarkar; Andrew D. Gordon 001; Simon Peyton Jones; Neil Toronto (VL/HCC, 2018)

End-User Probabilistic Programming. - Judith Borghouts; Andrew D. Gordon 001; Advait Sarkar; Neil Toronto (QEST, 2019)

Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty. - Judith Borghouts; Andrew D. Gordon 001; Advait Sarkar; Kenton P. O'Hara; Neil Toronto (CoRR, 2019)

"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 001; Neil Toronto; Andrew D. Gordon 001 (CHI, 2023)

Solving Data-centric Tasks using Large Language Models. - Shraddha Barke; Christian Pölitz; Carina Negreanu; Benjamin Zorn 001; José Cambronero; Andrew D. Gordon 001; Vu Le 002; Elnaz Nouri; Nadia Polikarpova; Advait Sarkar; Brian Slininger; Neil Toronto; et al. (NAACL-HLT (Findings), 2024)

When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution. - Advait Sarkar; Xiaotong Xu; Neil Toronto; Ian Drosos; Christian Pölitz (CoRR, 2024)

"It makes you think": Provocations Help Restore Critical Thinking to AI-Assisted Knowledge Work. - Ian Drosos; Advait Sarkar; Xiaotong Xu; Neil Toronto (CoRR, 2025)