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@@ -195,14 +195,14 @@ <h2 style="text-align: center">Selected References</h2>
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<li><b>Franchi, G.</b>, Yu, X., <b>Bursuc, A.</b>, Aldea, E., Dubuisson,
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S., & Filliat, D. (2022, October). Latent Discriminant
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deterministic Uncertainty. In ECCV 2022.</li>
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<li><b>Laurent, O.</b>, Lafage, A., Tartaglione, E., Daniel, G.,
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Martinez, J. M., <b>Bursuc, A., & Franchi, G.</b>
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<li><b>Laurent, O.</b>, <b>Lafage, A.</b>, Tartaglione, E., Daniel, G.,
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Martinez, J. M., <b>Bursuc, A.</b>, & <b></b>Franchi, G.</b>
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Packed-Ensembles for Efficient Uncertainty Estimation. In ICLR 2023.</li>
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<li><b>Izmailov, P.</b>, Vikram, S., Hoffman, M. D., & Wilson, A. G. What are Bayesian neural network
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posteriors really like? In ICML, 2021.</li>
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<li><b>Izmailov, P.</b>, Maddox, W. J., Kirichenko, P., Garipov, T., Vetrov, D., & Wilson, A. G. Sub-
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space inference for Bayesian deep learning. In UAI, 2020.</li>
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<li><b>Franchi, G., Bursuc, A.</b>, Aldea, E., Dubuisson, S., &
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<li><b>Franchi, G.</b>, <b>Bursuc, A.</b>, Aldea, E., Dubuisson, S., &
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Bloch, I. (2020, August). TRADI: Tracking deep neural
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network weight distributions. In ECCV 2020.</li>
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<li>Wilson, A. G., & <b>Izmailov, P</b>. Bayesian deep learning and a probabilistic perspective of gen-
@@ -220,7 +220,7 @@ <h2 style="text-align: center">Selected References</h2>
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<br>
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<div class="containertext">
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<h3 style="text-align: center">Andrei Bursuc is supported by</h3>
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<h3 style="text-align: center">Andrei Bursuc is supported by ELSA:</h3>
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<center>
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<a href="https://elsa-ai.eu/" target="_blank"><img src="assets/elsa_logo.png" width="10%" hspace="2%" />

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