A Seed-Augment-Train Framework for Universal Digit Classification. - Vinay Uday Prabhu; Sanghyun Han; Dian Ang Yap; Mihail Douhaniaris; Preethi Seshadri (DGS@ICLR, 2019)

Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification. - Vinay Uday Prabhu; Sanghyun Han; Dian Ang Yap; Mihail Douhaniaris; Preethi Seshadri; John Whaley (CoRR, 2019)

Understanding Adversarial Robustness Through Loss Landscape Geometries. - Vinay Uday Prabhu; Dian Ang Yap; Joyce Xu; John Whaley (CoRR, 2019)

Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance. - Vinay Uday Prabhu; Dian Ang Yap; Alexander Wang; John Whaley (CoRR, 2019)

Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity. - Dian Ang Yap; Nicholas Roberts; Vinay Uday Prabhu (CoRR, 2019)

Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks. - Nicholas Roberts; Dian Ang Yap; Vinay Uday Prabhu (CoRR, 2019)

BERT Learns (and Teaches) Chemistry. - Josh Payne; Mario Srouji; Dian Ang Yap; Vineet Kosaraju (CoRR, 2020)

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. - David Berthelot; Arnaud Autef; Jierui Lin; Dian Ang Yap; Shuangfei Zhai; Siyuan Hu; Daniel Zheng; Walter Talbott; Eric Gu (CoRR, 2023)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. - Guoli Yin; Haoping Bai; Shuang Ma; Feng Nan; Yanchao Sun; Zhaoyang Xu; Shen Ma; Jiarui Lu; Xiang Kong; Aonan Zhang; Dian Ang Yap; Yizhe Zhang 002; et al. (NAACL (Findings), 2025)

Apple Intelligence Foundation Language Models: Tech Report 2025. - Hanzhi Zhou; Erik Hornberger; Pengsheng Guo; Xiyou Zhou; Saiwen Wang; Xin Wang; Yifei He; Xuankai Chang; Rene Rauch; Louis D'hauwe; John Peebles; Alec Doane; et al. (CoRR, 2025)