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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma

Peter Dixon, A. Pavan, Jamie Radcliffe, Jason Vander Woude, 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

Nicolas Chapados, Étienne Marcotte, João Monteiro, Pierre-André Noël, Christopher Pal, Sai Rajeswar, Perouz Taslakian, David Vázquez, Valentina Zantedeschi 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

Siri Gadipudi, Abhishek Gupta, Max Simchowitz, Chuning Zhu 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

Rima Alaifari, Francesca Bartolucci, Emmanuel De Bézenac, Siddhartha Mishra, Roberto Molinaro, Bogdan Raonic 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

Adín Ramírez Rivera, Thalles Santos Silva 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

David Atanasov, Łukasz Bartoszcze, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Domenic Rosati, Frank Rudzicz, Hassan Sajjad, Jan Wehner, Kai Williams 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

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

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