Warren R. Morningstar

14 papers A 3Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Trust The Typical.
CoRR
Debargha Ganguly, Sreehari Sankar, Biyao Zhang, Vikash Singh, Kanan Gupta, Harshini Kavuru, Alan Luo, Weicong Chen, Warren R. Morningstar, Raghu Machiraju, Vipin Chaudhary
2024 J jnl
Augmentations vs Algorithms: What Works in Self-Supervised Learning.
CoRR
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
2024 J jnl
Forte : Finding Outliers with Representation Typicality Estimation.
CoRR
Debargha Ganguly, Warren R. Morningstar, Andrew Seohwan Yu, Vipin Chaudhary
2023 J jnl
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations.
CoRR
Neha Mukund Kalibhat, Warren R. Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield
2023 J jnl
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer.
CoRR
Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren R. Morningstar, Philip Andrew Mansfield
2022 A conf
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime.
AISTATS
Warren R. Morningstar, Alex Alemi, Joshua V. Dillon
2022 J jnl
Weighted Ensemble Self-Supervised Learning.
CoRR
Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2021 A conf
Automatic Differentiation Variational Inference with Mixtures.
AISTATS
Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon
2021 A conf
Density of States Estimation for Out of Distribution Detection.
AISTATS
Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon
2021 J jnl
What Do We Mean by Generalization in Federated Learning?
CoRR
Honglin Yuan, Warren R. Morningstar, Lin Ning, Karan Singhal
2020 J jnl
Automatic Differentiation Variational Inference with Mixtures.
CoRR
Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon
2020 J jnl
Density of States Estimation for Out-of-Distribution Detection.
CoRR
Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon
2020 J jnl
PAC
CoRR
Warren R. Morningstar, Alexander A. Alemi, Joshua V. Dillon
2020 J jnl
VIB is Half Bayes.
CoRR
Alexander A. Alemi, Warren R. Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon