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  2. ILQR-VAE : CONTROL-BASED LEARNING OF INPUT-DRIVEN DYNAMICS WITH…

    https://cbl.eng.cam.ac.uk/publications/schimel-iclr-2022.pdf
    25 Jun 2024: Interestingly, single ‘trial’ activities evolve tightly aroundtheir trial averages, and resembles the firing rate responses shown in A (middle). ... C) Example spikeraster (top) and hand kinematics (bottom) for a 4 second-long chunk of test data in
  3. Neuron Article Optimal Control of Transient Dynamicsin Balanced…

    https://cbl.eng.cam.ac.uk/publications/hennequin-neuron-2014.pdf
    25 Jun 2024: SOCs Exhibit Complex Transient AmplificationTo test whether SOCs can produce the type of complex transient. ... following each command onto the correct trajectory (compare. the five test trials in Figure 5A).
  4. Exact natural gradient in deep linear networks andapplication to ...

    https://cbl.eng.cam.ac.uk/publications/bernacchia-nips-2018.pdf
    25 Jun 2024: Ti1〉1pθ. (10). This expression is equal to the standard gradient (middle term, cf. ... D) Test error for MNIST autoencoding in a deepnonlinear network (see main text for details); colors are the same as in (A–C).
  5. Manifold GPLVMs for discovering non-Euclideanlatent structure in…

    https://cbl.eng.cam.ac.uk/publications/jensen-neurips-2020.pdf
    25 Jun 2024: e) Magnitude of the rotations represented by {gj} and {gµj }. (f) Same as (c), nowcomparing SO(3) to R3. (g) Test log likelihood ratio for 10 synthetic datasets on T2, ... Eachdatapoint corresponds to a differ-ent partition of the timepoints intoa

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