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www.damtp.cam.ac.uk/user/mjc249/talks/Popov_talk_FoCM_mjc.pdf15 Jul 2023: Not Enough: : Mathematical Paradoxes Unravel the Limits of Neural Networks in Artificial Intelligence,” SIAM News, May 2022.• Choi, “Some AI Systems May Be Impossible to Compute,” IEEE Spectrum, March 2022. ... 2] Antun, V., M. J. Colbrook, and A. -
A programme for computational analysis in the age of data
www.damtp.cam.ac.uk/user/mjc249/talks/SCI_talk_JMM.pdf6 Jan 2023: Spectral measures of self-adjoint operators. • C., Horning, Townsend “Computing spectral measures of self-adjoint operators,” SIAM Rev., 2021. • ... Not Enough: : Mathematical Paradoxes Unravel the Limits of Neural Networks in Artificial -
On the existence of stable and accurate neural networks ...
www.damtp.cam.ac.uk/user/mjc249/pdfs/NN_colbrook10.pdf17 Nov 2020: From global to local:Getting more from compressed sensing. SIAM News, Oct., 2017. ... SIAM Journal onImaging Sciences, 10(1):335–371, 2017. [9] J. Ben-Artzi, M. J. -
ON THE EXISTENCE OF OPTIMAL MULTI-VALUED DECODERS AND THEIR ...
www.damtp.cam.ac.uk/research/afha/anders/Version0.pdf28 Nov 2023: ON THE EXISTENCE OF OPTIMAL MULTI-VALUED DECODERS AND THEIR ACCURACYBOUNDS FOR UNDERSAMPLED INVERSE PROBLEMS. NINA M. GOTTSCHLING, PAOLO CAMPODONICO, VEGARD ANTUN, AND ANDERS C. HANSEN. ABSTRACT. Undersampled inverse problems occur everywhere in the -
GENERALISED HARDNESS OF APPROXIMATION AND THE SCI HIERARCHY– ON ...
www.damtp.cam.ac.uk/research/afha/anders/GHA.pdf23 Sep 2022: GENERALISED HARDNESS OF APPROXIMATION AND THE SCI HIERARCHY–. ON DETERMINING THE BOUNDARIES OF TRAINING ALGORITHMS IN AI. LUCA EVA GAZDAG AND ANDERS C. HANSEN. ABSTRACT. Hardness of approximation (HA) – the phenomenon that, assuming P 6= NP, one -
© 2022 European Mathematical SocietyPublished by EMS Press J. ...
www.damtp.cam.ac.uk/user/mjc249/pdfs/JEMS_foundations_colbrook.pdf21 Feb 2023: 2022 European Mathematical SocietyPublished by EMS Press. J. Eur. Math. Soc. (Online first) DOI 10.4171/JEMS/1289. Matthew J. Colbrook Anders C. Hansen. The foundations of spectral computations via theSolvability Complexity Index hierarchy. Received -
WHEN CAN YOU TRUST FEATURE SELECTION? – II: ON ...
www.damtp.cam.ac.uk/research/afha/anders/InitialSubmitFeatureSelectionProbabilistic.pdf18 Dec 2023: WHEN CAN YOU TRUST FEATURE SELECTION? – II: ON THE EFFECTS OF RANDOMDATA ON CONDITION IN STATISTICS AND OPTIMISATION. ALEXANDER BASTOUNIS, FELIPE CUCKER, AND ANDERS C. HANSEN. ABSTRACT. In Part I, we defined a LASSO condition number and developed -
WHEN CAN YOU TRUST FEATURE SELECTION? – I: A ...
www.damtp.cam.ac.uk/research/afha/anders/InitialSubmitFeatureSelectionDeterministic.pdf18 Dec 2023: WHEN CAN YOU TRUST FEATURE SELECTION? – I: A CONDITION-BASED ANALYSIS OFLASSO AND GENERALISED HARDNESS OF APPROXIMATION. ALEXANDER BASTOUNIS, FELIPE CUCKER, AND ANDERS C. HANSEN. ABSTRACT. The arrival of AI techniques in computations, with the -
Stratified Sampling Based Compressed Sensing for Structured Signals
www.damtp.cam.ac.uk/user/mjc249/pdfs/Stratified_Sampling_Based_Compressed_Sensing_for_Structured_Signals.pdf20 Jul 2022: Antun, M. J. Colbrook, and A. C. Hansen, “Proving existenceis not enough: Mathematical paradoxes unravel the limits of neuralnetworks in artificial intelligence,” SIAM News, vol. ... Boyer, P. Weiss, and J. Bigot, “An algorithm for variable
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