Work-Augmented Laziness with the Los Task Request System. - Thomas S. Stepleton (LISA, 2002)

A real-time vision module for interactive perceptual agents. - Bruce A. Maxwell; Nathaniel Fairfield; Nikolas Johnson; Pukar Malla; Paul Dickson 001; Suor Kim; Stephanie Wojtkowski; Thomas S. Stepleton (Mach. Vis. Appl., 2003)

Predicting and Evaluating the Power of Shared Features. - Thomas S. Stepleton (CVPR Workshops, 2005)

Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video. - Thomas S. Stepleton; Tai Sing Lee (WACV/MOTION, 2005)

Iterative design of a Braille writing tutor to combat illiteracy. - Nidhi Kalra; Tom Lauwers; Daniel Dewey; Thomas S. Stepleton; M. Bernardine Dias (ICTD, 2007)

Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection. - Andrew N. Stein; Thomas S. Stepleton; Martial Hebert (CVPR, 2008)

Design of a braille writing tutor to combat illiteracy. - Nidhi Kalra; Tom Lauwers; Daniel Dewey; Thomas S. Stepleton; M. Bernardine Dias (Inf. Syst. Frontiers, 2009)

The Block Diagonal Infinite Hidden Markov Model. - Thomas S. Stepleton; Zoubin Ghahramani; Geoffrey J. Gordon; Tai Sing Lee (AISTATS, 2009)

Q(λ) with Off-Policy Corrections. - Anna Harutyunyan; Marc G. Bellemare; Tom Stepleton; Rémi Munos (ALT, 2016)

Safe and Efficient Off-Policy Reinforcement Learning. - Rémi Munos; Tom Stepleton; Anna Harutyunyan; Marc G. Bellemare (NIPS, 2016)

Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery. - Thomas S. Stepleton; Razvan Pascanu; Will Dabney; Siddhant M. Jayakumar; Hubert Soyer; Rémi Munos (CoRR, 2018)

Wasserstein Fair Classification. - Ray Jiang; Aldo Pacchiano; Tom Stepleton; Heinrich Jiang; Silvia Chiappa (UAI, 2019)

A General Approach to Fairness with Optimal Transport. - Silvia Chiappa; Ray Jiang; Tom Stepleton; Aldo Pacchiano; Heinrich Jiang; John Aslanides (AAAI, 2020)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - Thomas Mesnard; Théophane Weber; Fabio Viola; Shantanu Thakoor; Alaa Saade; Anna Harutyunyan; Will Dabney; Tom Stepleton; Nicolas Heess; Arthur Guez; Marcus Hutter; Lars Buesing; et al. (CoRR, 2020)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - Thomas Mesnard; Theophane Weber; Fabio Viola; Shantanu Thakoor; Alaa Saade; Anna Harutyunyan; Will Dabney; Thomas S. Stepleton; Nicolas Heess; Arthur Guez; Eric Moulines; Marcus Hutter; et al. (ICML, 2021)

Ethical and social risks of harm from Language Models. - Laura Weidinger; John Mellor; Maribeth Rauh; Conor Griffin; Jonathan Uesato; Po-Sen Huang; Myra Cheng; Mia Glaese; Borja Balle; Atoosa Kasirzadeh; Zac Kenton; Sasha Brown; et al. (CoRR, 2021)

Taxonomy of Risks posed by Language Models. - Laura Weidinger; Jonathan Uesato; Maribeth Rauh; Conor Griffin; Po-Sen Huang; John Mellor; Amelia Glaese; Myra Cheng; Borja Balle; Atoosa Kasirzadeh; Courtney Biles; Sasha Brown; et al. (FAccT, 2022)

Gaps in the Safety Evaluation of Generative AI. - Maribeth Rauh; Nahema Marchal; Arianna Manzini; Lisa Anne Hendricks; Ramona Comanescu; Canfer Akbulut; Tom Stepleton; Juan Mateos-Garcia; A. Stevie Bergman; Jackie Kay; Conor Griffin; Ben Bariach; et al. (AIES (1), 2024)