Morningstar, Warren Richard

7 publications

ICLR 2025 Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly, Warren Richard Morningstar, Andrew Seohwan Yu, Vipin Chaudhary

NeurIPSW 2024 Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations Neha Kalibhat, Warren Richard Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield

TMLR 2024 Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar

TMLR 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

ICLRW 2023 Federated Training of Dual Encoding Models on Small Non-Iid Client Datasets Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

ICLR 2023 Weighted Ensemble Self-Supervised Learning Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon

ICLR 2022 What Do We Mean by Generalization in Federated Learning? Honglin Yuan, Warren Richard Morningstar, Lin Ning, Karan Singhal