Paper

  • Riemannian Laplace approximations for Bayesian neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian Laplace approximations for Bayesian neural networks

    Georgios Arvanitidis, Federico Bergamin, Søren Hauberg, Pablo Moreno-Muñoz p31066-31095 from Advances in Neural Information Processing Systems 36
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  • Riemannian Neural SDE: Learning Stochastic Representations on Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian Neural SDE: Learning Stochastic Representations on Manifolds

    Hyomin Kim, Junseok Kwon, Kyungjae Lee, Sung Woo Park p1434-1444 from Advances in Neural Information Processing Systems 35
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  • Riemannian Projection-free Online Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian Projection-free Online Learning

    Jacob Abernethy, Zihao Hu, Guanghui Wang p41980-42014 from Advances in Neural Information Processing Systems 36
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  • Riemannian Residual Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian Residual Neural Networks

    Anna Asch, Eric Chen, Christopher De Sa, Sidhanth Holalkere, Isay Katsman, Ser Nam Lim, Aaron Lou p63502-63514 from Advances in Neural Information Processing Systems 36
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  • Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds

    Eunho Yang, Jihun Yun p65784-65800 from Advances in Neural Information Processing Systems 36
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  • Riemannian Score-Based Generative Modelling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian Score-Based Generative Modelling

    Valentin De Bortoli, Arnaud Doucet, Michael Hutchinson, Emile Mathieu, Yee Whye Teh, James Thornton p2406-2422 from Advances in Neural Information Processing Systems 35
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  • Riemannian stochastic optimization methods avoid strict saddle points

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Riemannian stochastic optimization methods avoid strict saddle points

    Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos p29580-29601 from Advances in Neural Information Processing Systems 36
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  • Rifle Burst Fire Testing - Probability of Number of Impacts on Hard Armour Panel

    Royal Military Academy (Belgium)

    Rifle Burst Fire Testing - Probability of Number of Impacts on Hard Armour Panel

    Hemant Chouhan, Kartikeya Kartikeya, Khushi Ram, Aisha Ahmed, Makhan Singh, Naresh Bhatnagar p413-422 from 16th Personal Armour Systems Symposium (PASS 2023)
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  • Right this way: Can VLMs Guide Us to See More to Answer Questions?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Right this way: Can VLMs Guide Us to See More to Answer Questions?

    Lei Ding, Leilani Gilpin, Li Liu, Kalyana Tholeti, Diji Yang, Yi Zhang, Sijia Zhong p132946-132976 from Advances in Neural Information Processing Systems 37
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  • RIGID GLULAM JOINTS TO CONCRETE ABUTMENTS WITH GLUED-IN STEEL ROD

    World Conference on Timber Engineering 2023 (WCTE 2023)

    RIGID GLULAM JOINTS TO CONCRETE ABUTMENTS WITH GLUED-IN STEEL ROD

    Kai Simon, Simon Aicher p1443-1452 from World Conference on Timber Engineering (WCTE 2023)
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  • RIGID JOINTS ON GLUED-IN RODS OF BENDING AND COMPRESSION-BENDING ELEMENTS OF LARGE-SPAN LAMINATED TIMBER STRUCTURES

    World Conference on Timber Engineering 2023 (WCTE 2023)

    RIGID JOINTS ON GLUED-IN RODS OF BENDING AND COMPRESSION-BENDING ELEMENTS OF LARGE-SPAN LAMINATED TIMBER STRUCTURES

    Alexander Pogoreltsev, Stanislav Turkovsky, Vladimir Stoyanov p4201-4208 from World Conference on Timber Engineering (WCTE 2023)
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  • Rigorous Bayesian Improvements to Ballistics Armour Testing Methods

    Royal Military Academy (Belgium)

    Rigorous Bayesian Improvements to Ballistics Armour Testing Methods

    M. McKibben, L. Stabile, A. Iwaskiw, E. Cawi p371-380 from 17th Personal Armour Systems Symposium (PASS 2025)
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