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  • BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis

    Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin p71222-71241 from Advances in Neural Information Processing Systems 36
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  • Batch (rotor-Stator) Vs Continuous (NETmix): Mixing Devices Comparison for Pickering Emulsions Production

    MIXING17 - 17th European Conference on Mixing

    Batch (rotor-Stator) Vs Continuous (NETmix): Mixing Devices Comparison for Pickering Emulsions Production

    A. Ribeiro, Y. Manrique, M. Barreiro, J. Lopes, M. Dias p204-206 from 17th European Conference on Mixing (MIXING 17)
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  • Batch Bayesian Optimisation Via Density-Ratio Estimation with Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batch Bayesian Optimisation Via Density-Ratio Estimation with Guarantees

    Rafael Oliveira, Louis Tiao, Fabio Ramos p29816-29829 from Advances in Neural Information Processing Systems 35
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  • Batch Bayesian Optimization For Replicable Experimental Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batch Bayesian Optimization For Replicable Experimental Design

    Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet p36476-36506 from Advances in Neural Information Processing Systems 36
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  • Batch Bayesian Optimization on Permutations Using the Acquisition Weighted Kernel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batch Bayesian Optimization on Permutations Using the Acquisition Weighted Kernel

    Changyong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling p6843-6858 from Advances in Neural Information Processing Systems 35
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  • Batch Multi-Fidelity Active Learning with Budget Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batch Multi-Fidelity Active Learning with Budget Constraints

    Shibo Li, Jeff M Phillips, Xin Yu, Robert Kirby, Shandian Zhe p995-1007 from Advances in Neural Information Processing Systems 35
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  • Batch Size-Invariance for Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batch Size-Invariance for Policy Optimization

    Jacob Hilton, Karl Cobbe, John Schulman p17086-17098 from Advances in Neural Information Processing Systems 35
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  • Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms Or Independent Arms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms Or Independent Arms

    Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen p14904-14916 from Advances in Neural Information Processing Systems 35
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  • Batched Energy-Entropy acquisition for Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batched Energy-Entropy acquisition for Bayesian Optimization

    Felix Teufel, Carsten Stahlhut, Jesper Ferkinghoff-Borg p93118-93170 from Advances in Neural Information Processing Systems 37
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  • Batchnorm Allows Unsupervised Radial Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Batchnorm Allows Unsupervised Radial Attacks

    Amur Ghose, Apurv Gupta, Yaoliang Yu, Pascal Poupart p697-738 from Advances in Neural Information Processing Systems 36
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  • Battery Pack Lifetime Testing Campaigns for Microsatellites

    International Astronautical Federation (IAF)

    Battery Pack Lifetime Testing Campaigns for Microsatellites

    Abhishek Risbud, Jakob Lifshits, Bryan Johnston-Lemke, Robert Zee p496-504 from IAF Space Power Symposium
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  • Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks

    Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Wilson, Tom Goldstein p29343-29371 from Advances in Neural Information Processing Systems 36
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