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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma

Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran p78996-79028 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Replicability in Reinforcement Learning

Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou p74702-74735 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Replicable Clustering

Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou p39277-39320 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Replicable Reinforcement Learning

Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell p15172-15185 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Replicable Uniformity Testing

Sihan Liu, Christopher Ye p32039-32075 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content

João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian p24242-24276 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta p32445-32467 from Advances in Neural Information Processing Systems 36

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Interdisciplinary Society For Quantitative Research in Music and Medicine

REPORT - Sound As Healing Light Waves

Iasos p154-162 from 7th Biennial Conference of the Interdisciplinary Society for Quantitative Research in Music and Medicine (ISQRMM 2023)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning

Francesca Bartolucci, Emmanuel De Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari p69661-69672 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Representation Learning via Consistent Assignment of Views over Random Partitions

Thalles Santos Silva, Adín Ramírez Rivera p39582-39601 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Representation Noising: A Defence Mechanism Against Harmful Finetuning

Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz p12636-12676 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Representational Strengths and Limitations of Transformers

Clayton Sanford, Daniel Hsu, Matus Telgarsky p36677-36707 from Advances in Neural Information Processing Systems 36

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