Paper

  • Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks

    Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao p24975-24990 from Advances in Neural Information Processing Systems 35
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  • Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation

    Jin Woo Lee, Jaehyun Park, Min Jun Choi, Kyogu Lee p1058-1081 from Advances in Neural Information Processing Systems 37
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  • Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs

    Chen Shengyuan, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun p28139-28154 from Advances in Neural Information Processing Systems 36
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  • Differentiable Quantum Computing for Large-scale Linear Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Quantum Computing for Large-scale Linear Control

    Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming Lin, Xiaodi Wu p37176-37212 from Advances in Neural Information Processing Systems 37
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  • Differentiable Random Partition Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Random Partition Models

    Thomas Sutter, Alain Ryser, Joram Liebeskind, Julia Vogt p47176-47215 from Advances in Neural Information Processing Systems 36
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  • Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

    Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han p51166-51177 from Advances in Neural Information Processing Systems 36
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  • Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

    Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires p30416-30428 from Advances in Neural Information Processing Systems 36
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  • Differentiable sorting for censored time-to-event data.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable sorting for censored time-to-event data.

    Andre Vauvelle, Benjamin Wild, Roland Eils, Spiros Denaxas p66539-66555 from Advances in Neural Information Processing Systems 36
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  • Differentiable Structure Learning with Partial Orders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Structure Learning with Partial Orders

    Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen p117426-117455 from Advances in Neural Information Processing Systems 37
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  • Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

    Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari p59373-59407 from Advances in Neural Information Processing Systems 37
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  • DIFFERENTIAL MATERIAL MOVEMENT IN TALL MASS TIMBER STRUCTURES

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DIFFERENTIAL MATERIAL MOVEMENT IN TALL MASS TIMBER STRUCTURES

    Richard McLain, Josephine Racine, Bryce Lumpkin p2930-2939 from World Conference on Timber Engineering (WCTE 2023)
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  • Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features"

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features"

    Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park p21141-21171 from Advances in Neural Information Processing Systems 37
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