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51 - 60 of 1,028 search results for TALK:PC53 20 |u:www.damtp.cam.ac.uk where 0 match all words and 1,028 match some words.

  1. Results that match 1 of 2 words

  2. Accelerated, Stochastic and Equivariant Learned Mirror Descent |…

    www.damtp.cam.ac.uk/research/cia/accelerated-stochastic-and-equivariant-learned-mirror-descent
    11 Jul 2024: Search site. Cambridge Image Analysis. Accelerated, Stochastic and Equivariant Learned Mirror Descent. Researcher: Hong Ye Tan. Learning-to-optimize (L2O) is an emerging research area in large-scale optimization with applications in data science.

  3. Stephen J. Cowley: University Committees

    www.damtp.cam.ac.uk/user/sjc1/Council/Committees.html
    8 Jun 2024: 01/01/17-. 31/12/20. , also. 01/01/07-. 31/12/14). ;. the Nominating Committee for External Members of the Council. ... 01/10/22-. 31/12/23. and. 01/01/16-. 31/12/17. , co-opted. 01/01/18-. 31/12/20. and. 01/01/08-.

  4. Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals…

    www.damtp.cam.ac.uk/research/cia/noise-free-sampling-algorithms-regularized-wasserstein-proximals
    11 Jul 2024: Search site. Cambridge Image Analysis. Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. Researcher: Hong Ye Tan. We consider the problem of sampling from a distribution governed by a potential function. This work proposes an

  5. Matthew Colbrook

    www.damtp.cam.ac.uk/user/mjc249/Publications.html
    9 Jul 2024: This allows us to compute the spectral measure associated with the dynamics of a protein molecule with a 20,046-dimensional state space and compute nonlinear Koopman modes with error bounds ... An IMA Leslie Fox Prize 2023. 20. M. Colbrook, L. Ayton, "A

  6. Retinal waves in embryonic chick retina

    www.damtp.cam.ac.uk/user/sje30/chick-waves/index.html
    14 Jun 2014: Supplementary information. Supplementary information for J. Neurosci. 2000 20: RC56 (full text).

  7. Can Physics-Informed Neural Networks beat the Finite Element Method?…

    www.damtp.cam.ac.uk/research/cia/can-physics-informed-neural-networks-beat-finite-element-method
    11 Jul 2024: Search site. Cambridge Image Analysis. Can Physics-Informed Neural Networks beat the Finite Element Method? Partial differential equations play a fundamental role in the mathematical modelling of many processes and systems in physical, biological

  8. Publications | Maciej Dunajski | University of Cambridge

    www.damtp.cam.ac.uk/user/md327/publ.html
    20 May 2024: 2023) Wormhole Model for Neon-20' arXiv:2303.15567. ... Quantum Grav. 20, 3427-3440. Dunajski, M. and Mason, L.J. (2003) Twistor theory of hyper-K{"a}hler metrics with hidden symmetries', J.

  9. Home Page of Prof. A.S. FOKAS

    www.damtp.cam.ac.uk/user/tf227/
    18 Jan 2013: ii) MEG and EEG. A.S. Fokas, Y. Kurylev and V. Marinakis, The Unique Determination of the Neuronal Current in the Brain via Magnetoencephalography, Inverse Problems 20, 1067-1082 (2004). ... Rev. Lett. 96, 190201 (2006). A.S. Fokas, Nonlinear Fourier

  10. Pyae Hein Htet | Department of Applied Mathematics and Theoretical…

    www.damtp.cam.ac.uk/person/phh35
    11 Jul 2024: 2023). 20,. 20230428. (doi: 10.1098/rsif.2023.0428). Research Group. Biological Physics and Mechanics.

  11. Stephen J Eglen

    www.damtp.cam.ac.uk/user/sje30/pubs.html
    13 Mar 2016: Progress in Retinal and Eye Research 20:139-174. ... J Neurosci 20:RC56(1-6). SJ Eglen (1999) The role of retinal waves and synaptic normalization in retinogeniculate development.

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