Inverting Adversarially Robust Networks for Image Synthesis. - Renan A. Rojas-Gomez; Raymond A. Yeh; Minh N. Do; Anh Nguyen 002 (ACCV (6), 2022)

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks. - Renan A. Rojas-Gomez; Teck-Yian Lim; Alexander G. Schwing; Minh N. Do; Raymond A. Yeh (NeurIPS, 2022)

Making Vision Transformers Truly Shift-Equivariant. - Renan A. Rojas-Gomez; Teck-Yian Lim; Minh N. Do; Raymond A. Yeh (CVPR, 2024)

Augmentations vs Algorithms: What Works in Self-Supervised Learning. - Warren R. Morningstar; Alex Bijamov; Chris Duvarney; Luke Friedman; Neha Mukund Kalibhat; Luyang Liu; Philip Andrew Mansfield; Renan A. Rojas-Gomez; Karan Singhal; Bradley Green; Sushant Prakash (CoRR, 2024)

GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations. - Renan A. Rojas-Gomez; Minh N. Do (CoRR, 2024)

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer. - Renan A. Rojas-Gomez; Karan Singhal; Ali Etemad; Alex Bijamov; Warren Richard Morningstar; Philip Andrew Mansfield (Trans. Mach. Learn. Res., 2024)