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Jean-Stanislas Denain

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2020 – today

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2024
[c2]
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  - conf/iclr/HalawiDS24
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Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt:
Overthinking the Truth: Understanding how Language Models Process False Demonstrations. ICLR 2024
2023
[i5]
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  - journals/corr/abs-2307-09476
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Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt:
Overthinking the Truth: Understanding how Language Models Process False Demonstrations. CoRR abs/2307.09476 (2023)
[i4]
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  - journals/corr/abs-2312-07413
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Tom Davidson, Jean-Stanislas Denain, Pablo Villalobos, Guillem Bas:
AI capabilities can be significantly improved without expensive retraining. CoRR abs/2312.07413 (2023)
2022
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  - journals/corr/abs-2206-13498
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Jean-Stanislas Denain, Jacob Steinhardt:
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior. CoRR abs/2206.13498 (2022)
2021
[c1]
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  - electronic edition @ neurips.cc (open access)
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  - conf/nips/DingDS21
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Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt:
Grounding Representation Similarity Through Statistical Testing. NeurIPS 2021: 1556-1568
[i2]
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  - journals/corr/abs-2108-01661
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Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt:
Grounding Representation Similarity with Statistical Testing. CoRR abs/2108.01661 (2021)
2020
[i1]
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  - journals/corr/abs-2002-12253
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Achille Thin, Nikita Kotelevskii, Jean-Stanislas Denain, Léo Grinsztajn, Alain Durmus, Maxim Panov, Eric Moulines:
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference. CoRR abs/2002.12253 (2020)

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