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Robert J. N. Baldock

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Journal Articles

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2016
[j1]
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  dblp key:
  - journals/cphysics/BurkoffBVWC16
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  - https://dblp.org/rec/journals/cphysics/BurkoffBVWC16
Nikolas S. Burkoff, Robert J. N. Baldock, Csilla Várnai, David L. Wild, Gábor Csányi:
Exploiting molecular dynamics in Nested Sampling simulations of small peptides. Comput. Phys. Commun. 201: 8-18 (2016)

Conference and Workshop Papers

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2021
[c2]
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  - conf/nips/BaldockMN21
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Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur:
Deep Learning Through the Lens of Example Difficulty. NeurIPS 2021: 10876-10889
2020
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  - conf/nips/MaennelATBBGK20
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Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers:
What Do Neural Networks Learn When Trained With Random Labels? NeurIPS 2020

Informal and Other Publications

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2021
[i3]
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  dblp key:
  - journals/corr/abs-2106-09647
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Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur:
Deep Learning Through the Lens of Example Difficulty. CoRR abs/2106.09647 (2021)
2020
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  dblp key:
  - journals/corr/abs-2006-10455
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Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers:
What Do Neural Networks Learn When Trained With Random Labels? CoRR abs/2006.10455 (2020)
2019
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  - journals/corr/abs-1904-04154
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Robert J. N. Baldock, Nicola Marzari:
Bayesian Neural Networks at Finite Temperature. CoRR abs/1904.04154 (2019)

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