Paper

  • Biologically Plausible Solutions for Spiking Networks with Efficient Coding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Biologically Plausible Solutions for Spiking Networks with Efficient Coding

    Veronika Koren, Stefano Panzeri p20607-20620 from Advances in Neural Information Processing Systems 35
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  • Biologically-Plausible Backpropagation Through Arbitrary Timespans Via Local Neuromodulators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Biologically-Plausible Backpropagation Through Arbitrary Timespans Via Local Neuromodulators

    Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül p17528-17542 from Advances in Neural Information Processing Systems 35
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  • Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources

    Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan p13704-13717 from Advances in Neural Information Processing Systems 35
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  • BIOMASS PYROLYSIS: THERMODYNAMIC PARAMETERS REVIEW AND DETERMINATION THROUGH TGA

    ECOS 2024

    BIOMASS PYROLYSIS: THERMODYNAMIC PARAMETERS REVIEW AND DETERMINATION THROUGH TGA

    Joanna D'Antoni, Amine Ben-Abdelwahed, Cécile Gaborieau, Audrey Duphil, Wahbi Jomaa, Jean Lachaud p2042-2053 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series

    Andrea Nascetti, Ritu Yadav, Kirill Brodt, Qixun Qu, Hongwei Fan, Yuri Shendryk, Isha Shah, Christine Chung p20409-20420 from Advances in Neural Information Processing Systems 36
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  • Biomedical Visual Instruction Tuning with Clinician Preference Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Biomedical Visual Instruction Tuning with Clinician Preference Alignment

    Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang p96449-96467 from Advances in Neural Information Processing Systems 37
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  • BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

    Zahra Gharaee, Scott Lowe, Zeming Gong, Pablo Arias, Nicholas Pellegrino, Austin Wang, Joakim Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham Taylor, Paul Fieguth, Angel Chang p36285-36313 from Advances in Neural Information Processing Systems 37
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  • BIOT: Biosignal Transformer for Cross-data Learning in the Wild

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BIOT: Biosignal Transformer for Cross-data Learning in the Wild

    Chaoqi Yang, M Westover, Jimeng Sun p78240-78260 from Advances in Neural Information Processing Systems 36
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  • BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity

    Chih-Hsuan Yang, Ben Feuer, Zaki Jubery, Zi Deng, Andre Nakkab, Zahid Hasan, Shivani Chiranjeevi, Kelly Marshall, Nirmal Baishnab, Asheesh Singh, Arti Singh, Soumik Sarkar, Nirav Merchant, Chinmay Hegde, Baskar Ganapathysubramanian p102101-102120 from Advances in Neural Information Processing Systems 37
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  • BIRCH FOR ENGINEERED TIMBER PRODUCTS: PART II

    World Conference on Timber Engineering 2023 (WCTE 2023)

    BIRCH FOR ENGINEERED TIMBER PRODUCTS: PART II

    David Obernosterer, Georg Jeitler, Gerhard Schickhofer p615-620 from World Conference on Timber Engineering (WCTE 2023)
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  • BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning

    Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song p40786-40798 from Advances in Neural Information Processing Systems 36
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  • Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training

    Hanyang Peng, Shuang Qin, Yue Yu, Jin Wang, Hui Wang, Ge Li p39529-39552 from Advances in Neural Information Processing Systems 36
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