Nuggeteer: Automatic Nugget-Based Evaluation using Descriptions and Judgements. - Gregory Marton; Alexey Radul (HLT-NAACL, 2006)

Question Answering Experiments and Resources. - Boris Katz; Gregory Marton; Sue Felshin; Daniel Loreto; Ben Lu; Federico Mora 001; Özlem Uzuner; Michael McGraw-Herdeg; Natalie Cheung; Alexey Radul; Yuan Kui Shen; Yuan Luo 001; et al. (TREC, 2006)

Report on the probabilistic language scheme. - Alexey Radul (DLS, 2007)

Flexible and expressive substrate for computation. - Alexey Radul (2009)

A RESTful messaging system for asynchronous distributed processing. - Ian Jacobi; Alexey Radul (WS-REST, 2010)

Baron Munchhausen's Sequence - Tanya Khovanova; Konstantin Knop; Alexey Radul (CoRR, 2010)

AD in Fortran, Part 1: Design - Alexey Radul; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2012)

AD in Fortran, Part 2: Implementation via Prepreprocessor - Alexey Radul; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2012)

Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions - Oleksandr Manzyuk; Barak A. Pearlmutter; Alexey Andreyevich Radul; David R. Rush; Jeffrey Mark Siskind (CoRR, 2012)

Killer Problems. - Tanya Khovanova; Alexey Radul (Am. Math. Mon., 2012)

Automatic differentiation in machine learning: a survey. - Atilim Gunes Baydin; Barak A. Pearlmutter; Alexey Andreyevich Radul (CoRR, 2015)

Probabilistic Programming with Gaussian Process Memoization. - Ulrich Schaechtle; Ben Zinberg; Alexey Radul; Kostas Stathis; Vikash K. Mansinghka (CoRR, 2015)

Probabilistic programs for inferring the goals of autonomous agents. - Marco F. Cusumano-Towner; Alexey Radul; David Wingate; Vikash K. Mansinghka (CoRR, 2017)

Automatic Differentiation in Machine Learning: a Survey. - Atilim Gunes Baydin; Barak A. Pearlmutter; Alexey Andreyevich Radul; Jeffrey Mark Siskind (J. Mach. Learn. Res., 2017)

Simple, Distributed, and Accelerated Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Dave Moore; Christopher Suter; Srinivas Vasudevan; Alexey Radul (NeurIPS, 2018)

Probabilistic programming with programmable inference. - Vikash K. Mansinghka; Ulrich Schaechtle; Shivam Handa; Alexey Radul; Yutian Chen; Martin C. Rinard (PLDI, 2018)

Simple, Distributed, and Accelerated Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Dave Moore; Christopher Suter; Srinivas Vasudevan; Alexey Radul; Matthew J. Johnson 002; Rif A. Saurous (CoRR, 2018)

Aronnax: An idealised isopycnal ocean model. - Edward W. Doddridge; Alexey Radul (J. Open Source Softw., 2018)

Perturbation confusion in forward automatic differentiation of higher-order functions. - Oleksandr Manzyuk; Barak A. Pearlmutter; Alexey Andreyevich Radul; David R. Rush; Jeffrey Mark Siskind (J. Funct. Program., 2019)

Automatically batching control-intensive programs for modern accelerators. - Alexey Radul; Brian Patton; Dougal Maclaurin; Matthew D. Hoffman; Rif A. Saurous (MLSys, 2020)

An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo. - Matthew Hoffman 001; Alexey Radul; Pavel Sountsov (AISTATS, 2021)

The Base Measure Problem and its Solution. - Alexey Radul; Boris Alexeev (AISTATS, 2021)

Decomposing reverse-mode automatic differentiation. - Roy Frostig; Matthew J. Johnson 002; Dougal Maclaurin; Adam Paszke; Alexey Radul (CoRR, 2021)

Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming. - Adam Paszke; Daniel D. Johnson 001; David Duvenaud; Dimitrios Vytiniotis; Alexey Radul; Matthew J. Johnson 002; Jonathan Ragan-Kelley; Dougal Maclaurin (Proc. ACM Program. Lang., 2021)

The Foil: Capture-Avoiding Substitution With No Sharp Edges. - Dougal Maclaurin; Alexey Radul; Adam Paszke (IFL, 2022)

You Only Linearize Once: Tangents Transpose to Gradients. - Alexey Radul; Adam Paszke; Roy Frostig; Matthew J. Johnson 002; Dougal Maclaurin (Proc. ACM Program. Lang., 2023)