Paper

  • Exponentially Convergent Algorithms for Supervised Matrix Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponentially Convergent Algorithms for Supervised Matrix Factorization

    Joowon Lee, Hanbaek Lyu, Weixin Yao p76947-76959 from Advances in Neural Information Processing Systems 36
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  • Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks

    Anders Aamand, Justin Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner p27333-27346 from Advances in Neural Information Processing Systems 35
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  • Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training

    Peng Jiang, Lihan Hu, Shihui Song p38345-38357 from Advances in Neural Information Processing Systems 35
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  • Exposing Attention Glitches with Flip-Flop Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exposing Attention Glitches with Flip-Flop Language Modeling

    Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang p25549-25583 from Advances in Neural Information Processing Systems 36
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  • Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

    George Stein, Jesse Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Ross, Valentin Villecroze, Zhaoyan Liu, Anthony Caterini, Eric Taylor, Gabriel Loaiza-Ganem p3732-3784 from Advances in Neural Information Processing Systems 36
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  • Exposure of Cartilage Tissue Models to Gravitational Transitions Associated with Spaceflight: Implications for Interplanetary Exploration

    International Astronautical Federation (IAF)

    Exposure of Cartilage Tissue Models to Gravitational Transitions Associated with Spaceflight: Implications for Interplanetary Exploration

    Giada Graziana Genchi, Alessia Favale, Alessio Carmignani, Matteo Battaglini, Michele Tricarico, Antonio Cibelli, Grazia Paola Nicchia, Antonio Papangelo, Gianni Ciofani p523-527 from IAF/IAA Space Life Sciences Symposium
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  • Exposure to Mars Gravity is Not Sufficient to Provide Mitigating Effects on Orthostatic Intolerance Upon Return to Earth.

    International Astronautical Federation (IAF)

    Exposure to Mars Gravity is Not Sufficient to Provide Mitigating Effects on Orthostatic Intolerance Upon Return to Earth.

    Antoni Perez-Poch, Jordi Torner p1175-1179 from IAF/IAA Space Life Sciences Symposium
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  • Express Assessment of Physical Performance After Spaceflights of Different Duration and After the Experiment with 12-Month Isolation "SIRIUS-23"

    International Astronautical Federation (IAF)

    Express Assessment of Physical Performance After Spaceflights of Different Duration and After the Experiment with 12-Month Isolation "SIRIUS-23"

    Anna Ganicheva p398-402 from IAF/IAA Space Life Sciences Symposium
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  • Expressive Gaussian Human Avatars from Monocular RGB Video

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive Gaussian Human Avatars from Monocular RGB Video

    Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang p5646-5660 from Advances in Neural Information Processing Systems 37
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  • Expressive probabilistic sampling in recurrent neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive probabilistic sampling in recurrent neural networks

    Shirui Chen, Linxing Jiang, Rajesh Pn Rao, Eric Shea-Brown p34981-35005 from Advances in Neural Information Processing Systems 36
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  • Expressive Sign Equivariant Networks for Spectral Geometric Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressive Sign Equivariant Networks for Spectral Geometric Learning

    Derek Lim, Joshua Robinson, Stefanie Jegelka, Haggai Maron p16426-16455 from Advances in Neural Information Processing Systems 36
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  • Expressivity-Preserving GNN Simulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expressivity-Preserving GNN Simulation

    Fabian Jogl, Maximilian Thiessen, Thomas Gärtner p74544-74581 from Advances in Neural Information Processing Systems 36
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