Mutual information of neural network initialisations: mean field approximations

Mutual information of neural network initialisations: mean field approximations

Bibliographic Details
Main Authors:	Tanner, J, Ughi, G
Format:	Conference item
Language:	English
Published:	IEEE 2021

Similar Items

Studies on neural networks: Information propagation at initialisation and robustness to adversarial examples
by: Ughi, G
Published: (2022)

Graph neural network initialisation of quantum approximate optimisation
by: Nishant Jain, et al.
Published: (2022-11-01)

Activation function design for deep networks: linearity and effective initialisation
by: Murray, M, et al.
Published: (2022)

Alteration of robot’s decision with various initialisation
by: Kui, Zhi Xiang
Published: (2017)

Analysis of the Skpos® users Initialisation Times
by: Droščák Branislav, et al.
Published: (2014-09-01)

Optimistic exploration even with a pessimistic initialisation
by: Whiteson, S, et al.
Published: (2020)

Trainless model performance estimation based on random weights initialisations for neural architecture search
by: Ekaterina Gracheva
Published: (2021-12-01)

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks
by: Ughi, G, et al.
Published: (2021)

Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
by: Wentao Huang, et al.
Published: (2019-03-01)

Directional sensitivity of track initialisation of a multistatic Doppler‐only passive radar network
by: Miika Tolonen, et al.
Published: (2021-10-01)

La Distinction reloaded . Une nouvelle initialisation des données.
by: Marc Dumont, et al.
Published: (2004-11-01)

Probabilistic Timed Automata with One Clock and Initialised Clock-Dependent Probabilities
by: Jeremy Sproston
Published: (2021-11-01)

Initialisation Approaches for Population-Based Metaheuristic Algorithms: A Comprehensive Review
by: Jeffrey O. Agushaka, et al.
Published: (2022-01-01)

Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic
by: M. Kimmritz, et al.
Published: (2019-12-01)

Skilful interannual climate prediction from two large initialised model ensembles
by: Nick Dunstone, et al.
Published: (2020-01-01)

Comparison of adjoint and nudging methods to initialise ice sheet model basal conditions
by: C. Mosbeux, et al.
Published: (2016-07-01)

Information-bottleneck under mean field initialization
by: Abrol, V, et al.
Published: (2020)

Improved Neural Networks Based on Mutual Information via Information Geometry
by: Meng Wang, et al.
Published: (2019-05-01)

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation
by: Dong, H, et al.
Published: (2021)

Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods
by: Maciej Ławryńczuk, et al.
Published: (2022-03-01)

The value of initialisation on decadal timescales: state dependent predictability in the CESM Decadal Prediction Large Ensemble
by: Christensen, HM, et al.
Published: (2020)

Extensions of mean-field approximations for environmentally-transmitted pathogen networks
by: Kale Davies, et al.
Published: (2023-01-01)

HOFS: Higher order mutual information approximation for feature selection in R
by: Krzysztof Gajowniczek, et al.
Published: (2022-07-01)

VEHICLE TRACKING AND SPEED ESTIMATION FROM UNMANNED AERIAL VEHICLES USING SEGMENTATION-INITIALISED TRACKERS
by: S. M. Tilon, et al.
Published: (2023-12-01)

Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model
by: Vidette L. McGregor, et al.
Published: (2020-06-01)

The impact on global magnetohydrodynamic simulations from varying initialisation methods: results from GUMICS-4
by: A. Lakka, et al.
Published: (2017-08-01)

Mean-Field Approximate Optimization Algorithm
by: Aditi Misra-Spieldenner, et al.
Published: (2023-09-01)

Mean field analysis of deep neural networks
by: Sirignano, J, et al.
Published: (2021)

Limitations to Estimating Mutual Information in Large Neural Populations
by: Jan Mölter, et al.
Published: (2020-04-01)

Utilisation of Initialised Observation Scheme for Multi-Joint Robotic Arm in Lyapunov-Based Adaptive Control Strategy
by: Mohammad Soleimani Amiri, et al.
Published: (2022-08-01)

Mutual information measure of visual perception based on noisy spiking neural networks
by: Ziheng Xu, et al.
Published: (2023-08-01)

Using mutual information to evaluate the generalization capability of deep learning neural networks
by: Kan, Shawn Jung Tze
Published: (2020)

Portfolio Optimization with a Mean-Entropy-Mutual Information Model
by: Rodrigo Gonçalves Novais, et al.
Published: (2022-03-01)

An open workflow to gain insights about low-likelihood high impact weather events from initialised predictions
by: Kelder, T, et al.
Published: (2022)

Mean-field approximations and multipartite thermal correlations
by: Vedral, V
Published: (2004)

Mean field approximation for solving QUBO problems.
by: Máté Tibor Veszeli, et al.
Published: (2022-01-01)

Mean-field approximations with adaptive coupling for networks with spike-timing-dependent plasticity
by: Duchet, B, et al.
Published: (2023)

Mean field approximation for biased diffusion on Japanese inter-firm trading network.
by: Hayafumi Watanabe
Published: (2014-01-01)

Proximal mean-field for neural network quantization
by: Ajanthan, T, et al.
Published: (2020)

An Assessment of Hermite Function Based Approximations of Mutual Information Applied to Independent Component Analysis
by: Julian Sorensen
Published: (2008-12-01)