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    ECOS 2024

    SENSITIVITY ANALYSIS OF THE ENERGY TRANSITION PATH IN THE BERLIN-BRANDENBURG AREA TO UNCERTAINTIES IN OPERATIONAL AND INVESTMENT COSTS OF DIVERSE ENERGY PRODUCTION TECHNOLOGIES

    Christoph Muschner, Inci Yüksel-Ergün, Marie-Claire Gering, Karolina Bartoszuk, Sabine Haas, Janina Zittel p1339-1350 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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    ECOS 2023

    Sensitivity Analysis of the Power Demand Uncertainties on the Electrical Power System Optimization Models

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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    Royal Military Academy (Belgium)

    Sensor System to Capture Spatial & Temporal Pressure Distribution from Ballistic Impact Armour Back-Face Deformation

    L. Voo, A. Lurski, A. Veith, E. Butler, J. Marcus, Q. Luong, M. Kleinberger p351-360 from 17th Personal Armour Systems Symposium (PASS 2025)
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Separations in the Representational Capabilities of Transformers and Recurrent Architectures

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SeqPATE: Differentially Private Text Generation Via Knowledge Distillation

    He He, Ziyue Huang, Zhiliang Tian, Yu-Xiang Wang, Nevin L. Zhang, Yingxiu Zhao p11117-11130 from Advances in Neural Information Processing Systems 35
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Sequence Model Imitation Learning with Unobserved Contexts

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Sequence-To-Set Generative Models

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