tag :: neural_networks

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1Fault diagnosis and remaining useful life estimation of aero engine using LSTM neural network - IEEE Conference Publication
https://ieeexplore.ieee.org/abstract/document/7748035/keywords
3 years ago by @ninawue
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aircraft
deep_learning
economic_indicators
neural_networks
thema:machine_monitoring
aircraftdeep_learningeconomic_indicatorsneural_networksthema:machine_monitoring
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2Types of Optimization Algorithms used in Neural Networks and Ways to Optimize Gradient Descent
https://towardsdatascience.com/types-of-optimization-algorithms-used-in-neural-networks-and-ways-to-optimize-gradient-95ae5d39529f
6 years ago by @knaevelboerrar
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computer-science
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optimization
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1Implementing a Neural Network from Scratch in Python – An Introduction – WildML
http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/
6 years ago by @knaevelboerrar
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2Neural Networks, Types, and Functional Programming -- colah's blog
http://colah.github.io/posts/2015-09-NN-Types-FP/
8 years ago by @dallmann
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3Understanding Convolutional Neural Networks for NLP – WildML
http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
8 years ago by @dallmann
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deep_learning
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1PyBrain
http://pybrain.org
8 years ago by @dallmann
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AI
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AIneural_networkspythontools
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1Regression and Classification with Neural Networks
http://people.idsia.ch/~juergen/mooreneural.pdf
8 years ago by @dallmann
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1Andrej Karpathy blog
http://karpathy.github.io/
8 years ago by @iblis
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8The Unreasonable Effectiveness of Recurrent Neural Networks
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
8 years ago by @iblis
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1ŷhat | Neural networks and a dive into Julia
http://blog.yhathq.com/posts/julia-neural-networks.html
9 years ago by @iblis
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computer_sciences
julia
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1Estimation of spatial demographic maps from polymorphism data using a neural network
C. Smith, G. Patterson, P. Ralph, and A. Kern. bioRxiv, (2024)
9 days ago by @peter.ralph
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landscape_inference
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myown
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landscape_inferencemethodsmyownneural_networksspatial_structure
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1Dispersal inference from population genetic variation using a convolutional neural network
C. Smith, S. Tittes, P. Ralph, and A. Kern. Genetics, 224 (2): iyad068 (April 2023)
9 days ago by @peter.ralph
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dispersal_estimation
methods
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dispersal_estimationmethodsmyownneural_networkssimulation-based_inference
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1Task-driven neural network models predict neural dynamics of proprioception
A. Marin Vargas, A. Bisi, A. Chiappa, C. Versteeg, L. Miller, and A. Mathis. Cell, (2024)
27 days ago by @tabularii
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biomechanics
cuneate_nucleus
efference_copy
goal-driven_models
neural_networks
proprioception
somatosensory_cortex
state_estimation
statistics_of_movement
task-driven_models
biomechanicscuneate_nucleusefference_copygoal-driven_modelsneural_networksproprioceptionsomatosensory_cortexstate_estimationstatistics_of_movementtask-driven_models
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2Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning
B. Magnussen, C. Stern, and B. Sick. International Conference on Computational Intelligence and Intelligent Systems (CIIS), page 1--6. ACM, (2023)
29 days ago by @ies
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imported
itegpub
isac-www
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importeditegpubisac-wwwnoisy_datainhomogeneous_labelsneural_networkssemi-supervised_learningreflection_spectroscopy
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1Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy
B. Magnussen, F. Möckel, M. Jessulat, C. Stern, and B. Sick. International Conference on Bioinformatics and Computational Biology (ICBCB), IEEE, (2024)(accepted).
2 months ago by @ies
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importeditegpubisac-wwwreflection_spectroscopyneural_networkscontinuous_feature_networksbody_mass_index
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1Self-Learning Machines Based on Hamiltonian Echo Backpropagation
V. López-Pastor, and F. Marquardt. Phys. Rev. X, 13 (3): 031020 (August 2023)
8 months ago by @tabularii
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ai
neural_networks
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self-learning
aineural_networksnonlinear_dynamicsself-learning
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2Benchmarking Graph Neural Networks
V. Dwivedi, C. Joshi, A. Luu, T. Laurent, Y. Bengio, and X. Bresson. Journal of Machine Learning Research, 24 (43): 1--48 (2023)
8 months ago by @tabularii
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ai
benchmarking
data_sets
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aibenchmarkingdata_setsexploration_toolmachine_learningnetwork_data_analysisneural_networks
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4Neural Networks for Semantic Gaze Analysis in XR Settings
L. Stubbemann, D. Dürrschnabel, and R. Refflinghaus. ETRA '21 Full Papers: ACM Symposium on Eye Tracking Research and Applications, ACM, (May 2021)
2 years ago by @duerrschnabel
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2021
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2021gaze_analysisitegpubmyownneural_networks
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1Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
S. Lan, S. Li, and B. Shahbaba. (2021)cite arxiv:2101.03906.
3 years ago by @peter.ralph
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ABC
Bayesian
calibration_emulation_sampling
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ABCBayesiancalibration_emulation_samplinginverse_problemsneural_networks
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4Neural Networks for Semantic Gaze Analysis in XR Settings
L. Stubbemann, D. Dürrschnabel, and R. Refflinghaus. (2021)cite arxiv:2103.10451Comment: 16 pages, 6 figures, 1 table, Accepted to: ETRA2021, ACM Symposium on Eye Tracking Research and Applications.
3 years ago by @duerrschnabel
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2Coexistence of Shared-Spectrum Radio Systems through Medium Access Pattern Learning using Artificial Neural Networks
S. Lindner, L. Fisser, and A. Timm-Giel. 32th International Teletraffic Congress (ITC 32), Osaka, Japan, (2020)
3 years ago by @itc
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dynamic_spectrum_access
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itc32
machine_learning
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dynamic_spectrum_accessitcitc32machine_learningneural_networksreliability
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3Hybrid FEM-NN models: Combining artificial neural networks with the finite element method
S. Mitusch, S. Funke, and M. Kuchta. (2021)cite arxiv:2101.00962.
3 years ago by @peter.ralph
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PDE
linear_algebra
neural_networks
numerical_methods
PDElinear_algebraneural_networksnumerical_methods
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4Neural Additive Models: Interpretable Machine Learning with Neural Nets
R. Agarwal, N. Frosst, X. Zhang, R. Caruana, and G. Hinton. (2020)cite arxiv:2004.13912.
3 years ago by @konstantinkobs
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1Automatic Inference of Demographic Parameters Using Generative Adversarial Networks
Z. Wang, J. Wang, M. Kourakos, N. Hoang, H. Lee, I. Mathieson, and S. Mathieson. bioRxiv, (2020)
4 years ago by @peter.ralph
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adversarial_learning
demographic_inference
methods
neural_networks
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5Learning Dynamical Systems from Partial Observations
I. Ayed, E. de Bézenac, A. Pajot, J. Brajard, and P. Gallinari. (2019)cite arxiv:1902.11136.
4 years ago by @peter.ralph
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dynamical_systems
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1Artificial Communication? The Production of Contingency by Algorithms
E. Esposito. Zeitschrift für Soziologie, 46 (4): 249--265 (2017)
4 years ago by @meneteqel
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Artificial_Intelligence
Big_Data
Deep_Learning
Doppelte_Kontingenz
Double_Contingency
Künstliche_Intelligenz
Neural_Networks
Neuronale_Netzwerke
Social_Algorithms
Soziale_Algorithmen
Systems_Theory
Systemtheorie
Tiefgehendes_Lernen
Artificial_IntelligenceBig_DataDeep_LearningDoppelte_KontingenzDouble_ContingencyKünstliche_IntelligenzNeural_NetworksNeuronale_NetzwerkeSocial_AlgorithmsSoziale_AlgorithmenSystems_TheorySystemtheorieTiefgehendes_Lernen
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2Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons
A. Sederberg, and I. Nemenman. PLOS Computational Biology, 16 (5): 1-19 (May 2020)
4 years ago by @peter.ralph
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equivalent_networks
network_equivalency
networks
neural_networks
equivalent_networksnetwork_equivalencynetworksneural_networks
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2Rigging the Lottery: Making All Tickets Winners.
U. Evci, T. Gale, J. Menick, P. Castro, and E. Elsen. CoRR, (2019)
4 years ago by @konstantinkobs
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neural_networks
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2Solving inverse-PDE problems with physics-aware neural networks
S. Pakravan, P. Mistani, M. Aragon-Calvo, and F. Gibou. (2020)
4 years ago by @peter.ralph
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PDE
inverse_problems
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PDEinverse_problemsneural_networks
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11A Comprehensive Survey on Graph Neural Networks
Z. Wu, S. Pan, F. Chen, G. Long, C. Zhang, and P. Yu. (2019)cite arxiv:1901.00596.
4 years ago by @peter.ralph
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graph_theory
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1Fault diagnosis and remaining useful life estimation of aero engine using LSTM neural network - IEEE Conference Publication

2Types of Optimization Algorithms used in Neural Networks and Ways to Optimize Gradient Descent

1Implementing a Neural Network from Scratch in Python – An Introduction – WildML

2Neural Networks, Types, and Functional Programming -- colah's blog

3Understanding Convolutional Neural Networks for NLP – WildML

1PyBrain

1Regression and Classification with Neural Networks

1Andrej Karpathy blog

8The Unreasonable Effectiveness of Recurrent Neural Networks

1ŷhat | Neural networks and a dive into Julia

publications (hide)46
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1Estimation of spatial demographic maps from polymorphism data using a neural network

1Dispersal inference from population genetic variation using a convolutional neural network

1Task-driven neural network models predict neural dynamics of proprioception

2Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning

1Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy

1Self-Learning Machines Based on Hamiltonian Echo Backpropagation

2Benchmarking Graph Neural Networks

4Neural Networks for Semantic Gaze Analysis in XR Settings

1Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks

4Neural Networks for Semantic Gaze Analysis in XR Settings

2Coexistence of Shared-Spectrum Radio Systems through Medium Access Pattern Learning using Artificial Neural Networks

3Hybrid FEM-NN models: Combining artificial neural networks with the finite element method

4Neural Additive Models: Interpretable Machine Learning with Neural Nets

1Automatic Inference of Demographic Parameters Using Generative Adversarial Networks

5Learning Dynamical Systems from Partial Observations

1Artificial Communication? The Production of Contingency by Algorithms

2Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons

2Rigging the Lottery: Making All Tickets Winners.

2Solving inverse-PDE problems with physics-aware neural networks

11A Comprehensive Survey on Graph Neural Networks

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