Paper

  • Energy Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy Transformer

    Duen Horng Chau, Benjamin Hoover, Dmitry Krotov, Yuchen Liang, Rameswar Panda, Bao Pham, Hendrik Strobelt, Mohammed Zaki p27532-27559 from Advances in Neural Information Processing Systems 36
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  • Energy, Exergy and Exergo-Economic Analyses of Super-Critical CO2 Cycles for the Exploitation of a Geothermal Resource in the Mt. Amiata Region

    ECOS 2023

    Energy, Exergy and Exergo-Economic Analyses of Super-Critical CO2 Cycles for the Exploitation of a Geothermal Resource in the Mt. Amiata Region

    Daniele Fiaschi, Lorenzo Talluri, Nicola Di Michele, Pietro Ungar  p1789-1800 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Energy, Exergy, Exergoeconomic, and Exergoenvironmental Study of an Innovative Solar-Wind-Biomass Driven Polygeneration System for Power, Heat and Ammonia Production

    ECOS 2023

    Energy, Exergy, Exergoeconomic, and Exergoenvironmental Study of an Innovative Solar-Wind-Biomass Driven Polygeneration System for Power, Heat and Ammonia Production

    Ana María Blanco Marigorta, Mohammad Hassan Khoshgoftar Manesh, Soheil Davadgaran, Seyed Alireza Mousavi Rabeti p693-702 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Energy-Based Contrastive Learning of Visual Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-Based Contrastive Learning of Visual Representations

    Beomsu Kim, Jong Chul Ye p4358-4369 from Advances in Neural Information Processing Systems 35
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  • Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models

    Beomsu Kim, Jeongsol Kim, Sang Wan Lee, Geon Yeong Park, Jong Chul Ye p76382-76408 from Advances in Neural Information Processing Systems 36
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  • Energy-based Epistemic Uncertainty for Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-based Epistemic Uncertainty for Graph Neural Networks

    Dominik Fuchsgruber, Stephan Günnemann, Tom Wollschläger p34378-34428 from Advances in Neural Information Processing Systems 37
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  • Energy-based Hopfield Boosting for Out-of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-based Hopfield Boosting for Out-of-Distribution Detection

    Sepp Hochreiter, Claus Hofmann, Daniel Klotz, Bernhard Lehner, Simon Schmid p131859-131919 from Advances in Neural Information Processing Systems 37
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  • Energy-based learning algorithms for analog computing: a comparative study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-based learning algorithms for analog computing: a comparative study

    Maxence Ernoult, Jack Kendall, Suhas Kumar, Benjamin Scellier p52705-52731 from Advances in Neural Information Processing Systems 36
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  • Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

    Andrew Duncan, Yingzhen Li, Zijing Ou, Tobias Schröder p79246-79281 from Advances in Neural Information Processing Systems 37
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  • Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach

    Young-Uk Jin, Yung-Kyun Noh, Frank Park, Sangwoong Yoon p49445-49466 from Advances in Neural Information Processing Systems 36
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  • Energy-Based Sliced Wasserstein Distance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-Based Sliced Wasserstein Distance

    Nhat Ho, Khai Nguyen p18046-18075 from Advances in Neural Information Processing Systems 36
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  • Energy-Efficient Scheduling with Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Energy-Efficient Scheduling with Predictions

    Eric Balkanski, Noemie Perivier, Clifford Stein, Hao-Ting Wei p79012-79023 from Advances in Neural Information Processing Systems 36
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