Umbilical Cord Blood Mononuclear Cells for Ex-Vivo Gene Therapy von Bashirov, Farid V., Salafutdinov, Ilnur I., Sokolov, Michail E., Izmailov, Andrew A., Markosyan, Vage A., Fadeev, Filip O., Rizvanov, Albert, Islamov, Rustem I.

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Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations von Kirichenko, Polina, Izmailov, Pavel, Wilson, Andrew Gordon

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Simple and Fast Group Robustness by Automatic Feature Reweighting von Qiu, Shikai, Potapczynski, Andres, Izmailov, Pavel, Wilson, Andrew Gordon

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Bayesian Deep Learning and a Probabilistic Perspective of Generalization von Wilson, Andrew Gordon, Izmailov, Pavel

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On Feature Learning in the Presence of Spurious Correlations von Izmailov, Pavel, Kirichenko, Polina, Gruver, Nate, Wilson, Andrew Gordon

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On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification von Kapoor, Sanyam, Maddox, Wesley J, Izmailov, Pavel, Wilson, Andrew Gordon

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Why Normalizing Flows Fail to Detect Out-of-Distribution Data von Kirichenko, Polina, Izmailov, Pavel, Wilson, Andrew Gordon

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Bayesian Deep Learning and a Probabilistic Perspective of Generalization von Andrew Gordon Wilson, Izmailov, Pavel

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Dangers of Bayesian Model Averaging under Covariate Shift von Izmailov, Pavel, Nicholson, Patrick, Lotfi, Sanae, Wilson, Andrew Gordon

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What Are Bayesian Neural Network Posteriors Really Like? von Izmailov, Pavel, Vikram, Sharad, Hoffman, Matthew D, Wilson, Andrew Gordon

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Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations von Kirichenko, Polina, Izmailov, Pavel, Andrew Gordon Wilson

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Learning Invariances in Neural Networks von Benton, Gregory, Finzi, Marc, Izmailov, Pavel, Wilson, Andrew Gordon

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Bayesian Model Selection, the Marginal Likelihood, and Generalization von Lotfi, Sanae, Izmailov, Pavel, Benton, Gregory, Goldblum, Micah, Wilson, Andrew Gordon

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Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data von Finzi, Marc, Stanton, Samuel, Izmailov, Pavel, Wilson, Andrew Gordon

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Semi-Supervised Learning with Normalizing Flows von Izmailov, Pavel, Kirichenko, Polina, Finzi, Marc, Wilson, Andrew Gordon

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Does Knowledge Distillation Really Work? von Stanton, Samuel, Izmailov, Pavel, Kirichenko, Polina, Alemi, Alexander A, Wilson, Andrew Gordon

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Unsupervised learning of two-component nematicity from STM data on magic angle bilayer graphene von Taranto, William, Lederer, Samuel, Choi, Youngjoon, Izmailov, Pavel, Wilson, Andrew Gordon, Nadj-Perge, Stevan, Kim, Eun-Ah

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Simple and Fast Group Robustness by Automatic Feature Reweighting von Qiu, Shikai, Potapczynski, Andres, Izmailov, Pavel, Andrew Gordon Wilson

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On Feature Learning in the Presence of Spurious Correlations von Izmailov, Pavel, Kirichenko, Polina, Gruver, Nate, Andrew Gordon Wilson

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There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average von Athiwaratkun, Ben, Finzi, Marc, Izmailov, Pavel, Wilson, Andrew Gordon

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