Dian Ang Yap

According to our database, Dian Ang Yap authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

2020

BERT Learns (and Teaches) Chemistry.

Josh Payne, Mario Srouji, Dian Ang Yap, Vineet Kosaraju

CoRR, 2020

2019

Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks.

Nicholas Roberts, Dian Ang Yap, Vinay Uday Prabhu

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

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

Understanding Adversarial Robustness Through Loss Landscape Geometries.

Vinay Uday Prabhu, Dian Ang Yap, Joyce Xu, John Whaley

CoRR, 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

A Seed-Augment-Train Framework for Universal Digit Classification.

Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap, Mihail Douhaniaris, Preethi Seshadri

Proceedings of the Deep Generative Models for Highly Structured Data, 2019