Moving beyond the influence of molecular genetics on the debate about reductionism in philosophy of biology. - Frédéric Bouchard (The Influence of Genetics on Contemporary Thinking, 2007)

A persistence enhancing propensity account of ecological function to explain ecosystem evolution. - Antoine C. Dussault; Frédéric Bouchard (Synth., 2017)

Experimental investigation of high-dimensional quantum key distribution protocols with twisted photons. - Frédéric Bouchard; Khabat Heshami; Duncan England; Robert Fickler; Robert W. Boyd; Berthold-Georg Englert; Luis L. Sánchez-Soto; Ebrahim Karimi (Quantum, 2018)

Design Space of Behaviour Planning for Autonomous Driving. - Marko Ilievski; Sean Sedwards; Ashish Gaurav; Aravind Balakrishnan; Atrisha Sarkar; Jaeyoung Lee 003; Frédéric Bouchard; Ryan De Iaco; Krzysztof Czarnecki 001 (CoRR, 2019)

Quantum process tomography of a high-dimensional quantum communication channel. - Frédéric Bouchard; Felix Hufnagel; Dominik Koutný; Aazad Abbas; Alicia Sit; Khabat Heshami; Robert Fickler; Ebrahim Karimi (Quantum, 2019)

A Rule-Based Behaviour Planner for Autonomous Driving. - Frédéric Bouchard; Sean Sedwards; Krzysztof Czarnecki 001 (RuleML+RR, 2022)

Comparing Thermal Regime Stages along a Small Yakutian Fluvial Valley with Point Scale Measurements, Thermal Modeling, and Near Surface Geophysics. - Emmanuel Léger; Albane Saintenoy; Christophe Grenier; Antoine Séjourné; Eric Pohl; Frédéric Bouchard; Marc Pessel; Kirill Bazhin; Kencheeri Danilov; François Costard; Claude Mugler; Alexander N. Fedorov; et al. (Remote. Sens., 2023)

Automated Identification of Thermokarst Lakes Using Machine Learning in the Ice-Rich Permafrost Landscape of Central Yakutia (Eastern Siberia). - Lara Hughes-Allen; Frédéric Bouchard; Antoine Séjourné; Gabriel Fougeron; Emmanuel Léger (Remote. Sens., 2023)

High-dimensional Encoding in the Round-Robin Differential-Phase-Shift Protocol. - Mikka Stasiuk; Felix Hufnagel; Xiaoqin Gao; Aaron Z. Goldberg; Frédéric Bouchard; Ebrahim Karimi; Khabat Heshami (Quantum, 2023)

3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging. - Andrew H. Proppe; Guillaume Thekkadath; Duncan England; Philip J. Bustard; Frédéric Bouchard; Jeff S. Lundeen; Benjamin J. Sussman (CoRR, 2024)

Imaging at the quantum limit with convolutional neural networks. - Andrew H. Proppe; Aaron Z. Goldberg; Guillaume Thekkadath; Noah Lupu-Gladstein; Kyle M. Jordan; Philip J. Bustard; Frédéric Bouchard; Duncan England; Khabat Heshami; Jeff S. Lundeen; Benjamin J. Sussman (CoRR, 2025)