Efficient network generation under general preferential attachment. - James Atwood; Bruno F. Ribeiro; Don Towsley (WWW (Companion Volume), 2014)

Learning to Generate Networks. - James Atwood (CoRR, 2014)

Search-Convolutional Neural Networks. - James Atwood; Don Towsley (CoRR, 2015)

Diffusion-Convolutional Neural Networks. - James Atwood; Don Towsley (NIPS, 2016)

Sparse Diffusion-Convolutional Neural Networks. - James Atwood; Siddharth Pal; Don Towsley; Ananthram Swami (CoRR, 2017)

BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity. - Alexey A. Gritsenko; Alex D'Amour; James Atwood; Yoni Halpern; D. Sculley (CoRR, 2018)

Fair treatment allocations in social networks. - James Atwood; Hansa Srinivasan; Yoni Halpern; David Sculley (CoRR, 2019)

Fairness is not static: deeper understanding of long term fairness via simulation studies. - Alexander D'Amour; Hansa Srinivasan; James Atwood; Pallavi Baljekar; D. Sculley; Yoni Halpern (FAT*, 2020)

Detecting Extrapolation with Local Ensembles. - David Madras; James Atwood; Alexander D'Amour (ICLR, 2020)

Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. - James Atwood; Tina Tian; Ben Packer; Meghana Deodhar; Jilin Chen; Alex Beutel; Flavien Prost; Ahmad Beirami (CoRR, 2023)

Inducing Group Fairness in LLM-Based Decisions. - James Atwood; Preethi Lahoti; Ananth Balashankar; Flavien Prost; Ahmad Beirami (CoRR, 2024)