Paper

  • Information Geometry of the Retinal Representation Manifold

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Geometry of the Retinal Representation Manifold

    Xuehao Ding, Dongsoo Lee, Joshua Melander, George Sivulka, Surya Ganguli, Stephen Baccus p44310-44322 from Advances in Neural Information Processing Systems 36
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  • Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI

    Aditya Chattopadhyay, Ryan Pilgrim, Rene Vidal p2956-2990 from Advances in Neural Information Processing Systems 36
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  • Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills

    Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann p51536-51561 from Advances in Neural Information Processing Systems 36
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  • Information Re-Organization Improves Reasoning in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Re-Organization Improves Reasoning in Large Language Models

    Xiaoxia Cheng, Zeqi Tan, Wei Xue, Weiming Lu p130214-130236 from Advances in Neural Information Processing Systems 37
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  • Information Theoretic Lower Bounds for Information Theoretic Upper Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Theoretic Lower Bounds for Information Theoretic Upper Bounds

    Roi Livni p37716-37727 from Advances in Neural Information Processing Systems 36
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  • Information-guided Planning: An Online Approach for Partially Observable Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-guided Planning: An Online Approach for Partially Observable Problems

    Matheus Aparecido Do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino p69157-69177 from Advances in Neural Information Processing Systems 36
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  • Information-Theoretic GAN Compression with Variational Energy-Based Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Theoretic GAN Compression with Variational Energy-Based Model

    Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong Euk Lee, Bohyung Han p18241-18255 from Advances in Neural Information Processing Systems 35
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  • Information-theoretic Generalization Analysis for Expected Calibration Error

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-theoretic Generalization Analysis for Expected Calibration Error

    Futoshi Futami, Masahiro Fujisawa p84246-84297 from Advances in Neural Information Processing Systems 37
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  • Information-theoretic Limits of Online Classification with Noisy Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-theoretic Limits of Online Classification with Noisy Labels

    Changlong Wu, Ananth Grama, Wojciech Szpankowski p113937-113962 from Advances in Neural Information Processing Systems 37
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  • Information-Theoretic Safe Exploration with Gaussian Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information-Theoretic Safe Exploration with Gaussian Processes

    Alessandro Bottero, Carlos Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters p30707-30719 from Advances in Neural Information Processing Systems 35
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  • Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

    Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao p89652-89681 from Advances in Neural Information Processing Systems 37
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  • Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation

    Sagi Eppel, Jolina Li, Manuel Drehwald, Alan Aspuru-Guzik p60237-60259 from Advances in Neural Information Processing Systems 37
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