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  • Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

    Alicia Curth, Alan Jeffares, Mihaela van der Schaar p123498-123533 from Advances in Neural Information Processing Systems 37
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  • Deep Learning-Based Instance Segmentation of Tunnel Lining Structural Features from GPR Images

    Aussino Academic Publishing House (AAPH)

    Deep Learning-Based Instance Segmentation of Tunnel Lining Structural Features from GPR Images

    Jiahao LI p1464-1471 from 13th International Symposium on Project Management (ISPM2025)
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  • Deep linear networks for regression are implicitly regularized towards flat minima

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep linear networks for regression are implicitly regularized towards flat minima

    Lénaïc Chizat, Pierre Marion p76848-76900 from Advances in Neural Information Processing Systems 37
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  • Deep Neural Network-Based Robust Collision Avoidance Control of Space Manipulator for Active Debris Removal

    International Astronautical Federation (IAF)

    Deep Neural Network-Based Robust Collision Avoidance Control of Space Manipulator for Active Debris Removal

    Shabadini Sampath, Feng Jinglang p1613-1623 from 22nd IAA Symposium on Space Debris
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  • Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

    Alireza Azimi, Colin Bellinger, Mohamed Elsayed, Jiamin He, A. Mahmood, Fahim Shariar, Gautham Vasan, Martha White p845-891 from Advances in Neural Information Processing Systems 37
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  • Deep Space Fine - A Pilot Study on Arctic Crew Experiences with Extreme Environment Habitat Design

    International Astronautical Federation (IAF)

    Deep Space Fine - A Pilot Study on Arctic Crew Experiences with Extreme Environment Habitat Design

    Konstantin Chterev, Melissa Marselle, Birgitta Gatersleben p948-955 from IAF/IAA Space Life Sciences Symposium
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  • Deep Space Telescope: An SLS Launched Space Telescope Landed on the North Pole of Phobos

    International Astronautical Federation (IAF)

    Deep Space Telescope: An SLS Launched Space Telescope Landed on the North Pole of Phobos

    James Green, Benjamin Donahue p15-24 from IAF Symposium on Ongoing and Near Future Space Astronomy and Solar-System Science Missions
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  • Deep Submodular Peripteral Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Submodular Peripteral Networks

    Gantavya Bhatt, Jeffrey Bilmes, Arnav Das p56552-56587 from Advances in Neural Information Processing Systems 37
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  • Deep Support Vectors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Support Vectors

    Kyomin Hwang, Nojun Kwak, Hyunho Lee, Junhoo Lee p118155-118181 from Advances in Neural Information Processing Systems 37
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  • Deep-Neural-Network-based Process Data Simulation Model for Production Well of a Geothermal Power Plant

    ECOS 2021 Program Organizers

    Deep-Neural-Network-based Process Data Simulation Model for Production Well of a Geothermal Power Plant

    Atsuhiro Imagawa, Akira Yoshida and Yoshiharu Amano p531-542 from 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021)
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  • Deep-Space Solid Propulsion System for Orbiting Exploration of Large Gravity Bodies Beyond the Asteroid Belt

    International Astronautical Federation (IAF)

    Deep-Space Solid Propulsion System for Orbiting Exploration of Large Gravity Bodies Beyond the Asteroid Belt

    Shinichiro Tokudome, Takanao Saiki, Yuichi Tsuda, Yuki Akizuki, Kenichiro Sawada, Naoki Morishita, Koki Kitagawa, Kohei Matsui, Yuuki Sakamoto, Tetsuya Matsunaga, Keiichi Hori, Satoshi Arakawa, Yoshiki Matsuura p932-940 from IAF Materials and Structures Symposium
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  • Deep-Tech Space-Earth Synergies for Future Exploration and Terrestrial Applications

    International Astronautical Federation (IAF)

    Deep-Tech Space-Earth Synergies for Future Exploration and Terrestrial Applications

    Stela Tkatchova, Francesco Matteucci Matteucci, Antonio Pantaleo, Johannes Bunz, Chloé Audas, Stephan Speidel p559-569 from IAF Businesses and Innovation Symposium
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