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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Data subsampling for Poisson regression with pth-root-link

Han Cheng Lie, Alexander Munteanu p136286-136325 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

Eric Inae, Meng Jiang, Gang Liu, Tengfei Luo, Jiaxin Xu, Tong Zhao p21039-21057 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness

Yen-Huan Li, Ying-Ting Lin, Chung-En Tsai p62764-62791 from Advances in Neural Information Processing Systems 36

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World Conference on Timber Engineering 2023 (WCTE 2023)

DATA-DRIVEN APPROACH FOR ASSESSMENT OF SEISMIC DAMAGE IN WOOD BUILDINGS

Sifat Muin, Asif Iqbal, John W. Van De Lindt p2143-2149 from World Conference on Timber Engineering (WCTE 2023)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Data-Driven Conditional Robust Optimization

Nymisha Bandi, Abhilash Reddy Chenreddy, Erick Delage p9525-9537 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

Samuel Holt, Tennison Liu, Zhaozhi Qian, Mihaela van der Schaar, James Weatherall p96325-96366 from Advances in Neural Information Processing Systems 37

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ECOS 2024

DATA-DRIVEN INVESTIGATION OF LATENT HEAT THERMAL ENERGY STORAGE PERFORMANCE UNDER DYNAMIC OPERATING CONDITIONS

Raman Safaee, Philip Ward, Yulong Ding, Adriano Sciacovelli p1143-1154 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)

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ECOS 2024

DATA-DRIVEN MACHINE LEARNING MODELS FOR COMPLEX BUILDING ENERGY LOAD PREDICTIONS: ANALYSIS AND ASSESSMENT OF CONCEPT DRIFT SCENARIOS

Kai Derzsi, Florian Stinner, Matthias Fenske, Thomas Schreiber, Dirk Müller p2502-2512 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)

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ECOS 2024

DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR ENERGY-EFFICIENT AND LOW-NOISE OPERATION OF AIR-SOURCE HEAT PUMPS

Jonas Klingebiel, Florian Will, Moritz Beckschulte, Christian Vering, Dirk Müller p2513-2524 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)

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ECOS 2024

DATA-DRIVEN MODELING OF BOREHOLE THERMAL ENERGY STORAGE (BTES) FOR OPERATIONAL OPTIMIZATION OF RENEWABLE HEAT PRODUCTION SYSTEMS

Franziska Krenzlin, Willem Hagemann, Hannes Gernandt, Johannes Schiffer p1831-1841 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)

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ECOS 2023

Data-Driven Modelling of Supermarket Refrigeration Systems for Model Predictive Control Applications

Max Bird, Salvador Acha, Emilio Escriva, Nilay Shah p761-768 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Data-Driven Network Neuroscience: On Data Collection and Benchmark

Sophi Shilpa Gururajapathy, David Huang, Yiping Ke, Haribalan Kumar, Eryn Kwon, Josh McGeown, Miao Qiao, Alan Wang, Jiaxing Xu, Yunhan Yang p21841-21856 from Advances in Neural Information Processing Systems 36

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Paper

Data subsampling for Poisson regression with pth-root-link

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness

DATA-DRIVEN APPROACH FOR ASSESSMENT OF SEISMIC DAMAGE IN WOOD BUILDINGS

Data-Driven Conditional Robust Optimization

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

DATA-DRIVEN INVESTIGATION OF LATENT HEAT THERMAL ENERGY STORAGE PERFORMANCE UNDER DYNAMIC OPERATING CONDITIONS

DATA-DRIVEN MACHINE LEARNING MODELS FOR COMPLEX BUILDING ENERGY LOAD PREDICTIONS: ANALYSIS AND ASSESSMENT OF CONCEPT DRIFT SCENARIOS

DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR ENERGY-EFFICIENT AND LOW-NOISE OPERATION OF AIR-SOURCE HEAT PUMPS

DATA-DRIVEN MODELING OF BOREHOLE THERMAL ENERGY STORAGE (BTES) FOR OPERATIONAL OPTIMIZATION OF RENEWABLE HEAT PRODUCTION SYSTEMS

Data-Driven Modelling of Supermarket Refrigeration Systems for Model Predictive Control Applications

Data-Driven Network Neuroscience: On Data Collection and Benchmark

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