Paper

  • How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

    Qi Zhang, Yifei Wang, Yisen Wang p27127-27139 from Advances in Neural Information Processing Systems 35
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  • How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

    Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini p110667-110701 from Advances in Neural Information Processing Systems 37
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  • HOW MUCH HYDROGEN DO WE NEED AND WHERE? A SPATIALLY DETAILED ESTIMATION OF THE POTENTIAL HYDROGEN DEMAND IN THE FUTURE AVIATION AND INDUSTRY SECTOR FOR ITALY

    ECOS 2024

    HOW MUCH HYDROGEN DO WE NEED AND WHERE? A SPATIALLY DETAILED ESTIMATION OF THE POTENTIAL HYDROGEN DEMAND IN THE FUTURE AVIATION AND INDUSTRY SECTOR FOR ITALY

    Francesco Mezzera, Giuseppe Muliere, Fabrizio Fattori, Mario Motta, Giulia Novati p108-119 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • HOW OFFICE WORKERS EVALUATE COMPUTER-GENERATED (CG) IMAGES OF WOODEN OFFICE SPACES: EXAMINING GENDER AND AGE DIFFERENCES

    World Conference on Timber Engineering 2025

    HOW OFFICE WORKERS EVALUATE COMPUTER-GENERATED (CG) IMAGES OF WOODEN OFFICE SPACES: EXAMINING GENDER AND AGE DIFFERENCES

    Takashi Shima, Katsuhiko Sakata, Mayu Shirakawa, Yuko Tsunetsugu p5338-5345 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • How Powerful Are K-Hop Message Passing Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Powerful Are K-Hop Message Passing Graph Neural Networks

    Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang p4776-4790 from Advances in Neural Information Processing Systems 35
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  • How Re-sampling Helps for Long-Tail Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Re-sampling Helps for Long-Tail Learning?

    Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li p75669-75687 from Advances in Neural Information Processing Systems 36
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  • HOW RENEWABLE IS GREEN HYDROGEN? ANALYSIS OF THE EXERGY COST OF ITS PRODUCTION

    ECOS 2024

    HOW RENEWABLE IS GREEN HYDROGEN? ANALYSIS OF THE EXERGY COST OF ITS PRODUCTION

    Jorge Torrubia, Alessandro Lima, Alicia Valero, Antonio Valero p1279-1290 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • How Sampling Impacts the Robustness of Stochastic Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Sampling Impacts the Robustness of Stochastic Neural Networks

    Sina Däubener, Asja Fischer p10230-10243 from Advances in Neural Information Processing Systems 35
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  • How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective

    Qiaozhe Zhang, Ruijie Zhang, Jun Sun, Yingzhuang Liu p91337-91372 from Advances in Neural Information Processing Systems 37
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  • HOW TIMBER BUILDINGS CAN BE DESIGNED FOR DECONSTRUCTION AND REUSE IN ACCORDANCE WITH ISO 20887

    World Conference on Timber Engineering 2023 (WCTE 2023)

    HOW TIMBER BUILDINGS CAN BE DESIGNED FOR DECONSTRUCTION AND REUSE IN ACCORDANCE WITH ISO 20887

    Ylva Sandin, Marlene Cramer, Karin Sandberg p3558-3567 from World Conference on Timber Engineering (WCTE 2023)
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  • How to Boost Any Loss Function

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Boost Any Loss Function

    Richard Nock, Yishay Mansour p15947-15982 from Advances in Neural Information Processing Systems 37
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  • HOW TO BUILD INDUSTRIALLY SCALABLE VALUE CREATION FROM TIMBER CONSTRUCTION BY-PRODUCTS IN NEW ZEALAND

    World Conference on Timber Engineering 2025

    HOW TO BUILD INDUSTRIALLY SCALABLE VALUE CREATION FROM TIMBER CONSTRUCTION BY-PRODUCTS IN NEW ZEALAND

    Tuula Jyske, Jussi Lintunen, Chunlin Xu, Karen Bayne, Anne Toppinen, Ninni Westerholm, Anthony Hoete p5567-5572 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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