Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks. - Jacob Beck; Zoe Papakipos (CoRR, 2018)

Stackelberg Punishment and Bully-Proofing Autonomous Vehicles. - Matt Cooper; Jun Ki Lee; Jacob Beck; Joshua D. Fishman; Michael Gillett; Zoë Papakipos; Aaron Zhang; Jerome Ramos; Aansh Shah; Michael L. Littman (ICSR, 2019)

ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback. - Jacob Beck; Zoe Papakipos; Michael L. Littman (CoRR, 2019)

Results and findings of the 2021 Image Similarity Challenge. - Zoë Papakipos; Giorgos Tolias; Tomás Jenícek; Ed Pizzi; Shuhei Yokoo; Wenhao Wang; Yifan Sun 003; Weipu Zhang; Yi Yang 001; Sanjay Addicam; Sergio Manuel Papadakis; Cristian Canton-Ferrer; et al. (NeurIPS (Competition and Demos), 2021)

The 2021 Image Similarity Dataset and Challenge. - Matthijs Douze; Giorgos Tolias; Ed Pizzi; Zoë Papakipos; Lowik Chanussot; Filip Radenovic; Tomás Jenícek; Maxim Maximov; Laura Leal-Taixé; Ismail Elezi; Ondrej Chum; Cristian Canton-Ferrer (CoRR, 2021)

AugLy: Data Augmentations for Adversarial Robustness. - Zoë Papakipos; Joanna Bitton (CVPR Workshops, 2022)

AugLy: Data Augmentations for Robustness. - Zoe Papakipos; Joanna Bitton (CoRR, 2022)

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. - Maxim Maximov; Tim Meinhardt; Ismail Elezi; Zoe Papakipos; Caner Hazirbas; Cristian Canton-Ferrer; Laura Leal-Taixé (CoRR, 2023)

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis. - Maxim Maximov; Tim Meinhardt; Zoe Papakipos; Caner Hazirbas; Cristian Canton; Laura Leal-Taixé (FG, 2024)