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Pascal Tikeng Notsawo Jr.

Pascal Notsawo

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Conference and Workshop Papers

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2023
[c1]
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  dblp key:
  - conf/aaai/LiuLJNMBK23
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  - https://dblp.org/rec/conf/aaai/LiuLJNMBK23
Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi:
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. AAAI 2023: 8825-8833

Informal and Other Publications

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2024
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  - journals/corr/abs-2407-04680
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Tommaso Tosato, Pascal Tikeng Notsawo Jr., Saskia Helbling, Irina Rish, Guillaume Dumas:
Lost in Translation: The Algorithmic Gap Between LMs and the Brain. CoRR abs/2407.04680 (2024)
2023
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  - journals/corr/abs-2306-13253
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Pascal Tikeng Notsawo Jr., Hattie Zhou, Mohammad Pezeshki, Irina Rish, Guillaume Dumas:
Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok. CoRR abs/2306.13253 (2023)
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  - journals/corr/abs-2310-12771
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Pascal Tikeng Notsawo Jr.:
Stochastic Average Gradient : A Simple Empirical Investigation. CoRR abs/2310.12771 (2023)
2022
[i1]
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  dblp key:
  - journals/corr/abs-2202-01334
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Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Michael Mozer, Yoshua Bengio, Kenji Kawaguchi:
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. CoRR abs/2202.01334 (2022)

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