https://openreview.net/forum?id=vyRBsqj5iG
Proximal Mean Field Learning in Shallow Neural Networks | OpenReview
We propose a custom learning algorithm for shallow over-parameterized neural networks, i.e., networks with single hidden layer having infinite width. The...
neural networksmeanfieldlearningshallow
https://ar5iv.labs.arxiv.org/html/2503.11900
[2503.11900] Heterogenous graph neural networks for species distribution modeling
Species distribution models (SDMs) are necessary for measuring and predicting occurrences and habitat suitability of species and their relationship with...
graph neural networksspecies distributionmodeling
https://openreview.net/forum?id=r1lZ7AEKvB
The Logical Expressiveness of Graph Neural Networks | OpenReview
We characterize the expressive power of GNNs in terms of classical logical languages, separating different GNNs and showing connections with standard notions...
graph neural networkslogicalexpressivenessopenreview
https://openreview.net/forum?id=B1EA-M-0Z
Deep Neural Networks as Gaussian Processes | OpenReview
We show how to make predictions using deep networks, without training deep networks.
deep neural networksgaussian processesopenreview
https://au.mathworks.com/help/deeplearning/train-deep-neural-networks.html?s_tid=CRUX_topnav
Train Deep Neural Networks - MATLAB & Simulink
Train networks using built-in training functions or custom training loops
deep neural networkstrainmatlabsimulink
https://www.freecodecamp.org/news/tag/neural-networks/
neural networks - freeCodeCamp.org
Browse thousands of programming tutorials written by experts. Learn Web Development, Data Science, DevOps, Security, and get developer career advice.
neural networksfreecodecamp
https://pni-lab.github.io/connattractor/
Functional connectivity-based Attractor Neural Networks - ConnAttractor
Webpage for functional connectome-based Hopfield Neural Networks
functional connectivityneural networksbasedattractor
https://research.tue.nl/en/publications/functional-properties-of-pde-based-group-equivariant-convolutiona/
Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks - Research...
convolutional neural networksfunctionalpropertiespdebased
https://researchdiscovery.drexel.edu/esploro/outputs/journalArticle/Neural-networks-provide-superior-description-of/991014878010704721
Neural networks provide superior description of Giardia lamblia inactivation by free chlorine -...
Use of conventional models to describe data on microbial inactivation during disinfection suffers from limitations with respect to flexibility and direct...
neural networks
https://www.ias.tum.de/ias/news-events-insights/annual-report-2024/scientific-reports/training-neural-networks-without-back-propagation/
Training neural networks without back-propagation - Institute for Advanced Study (IAS)
institute for advanced studyneural networkstrainingwithoutback
https://techcommunity.microsoft.com/blog/sqlserver/galaxy-classification-with-neural-networks-a-data-science-workflow/385262
Galaxy classification with neural networks: a data science workflow | Microsoft Community Hub
Mar 23, 2019 - First published on MSDN on Mar 22, 2017 Recently at the Microsoft Ignite 2017 conference on the Gold Coast, I gave a talk about some cool new...
neural networks
https://infoscience.epfl.ch/entities/event/df054370-997d-4f57-8493-9116e218d890
27th International Conference on Artificial Neural Networks (ICANN)
artificial neural networksinternational conferenceicann
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6667/balanced-binary-neural-networks-with-gated-residual
Balanced Binary Neural Networks With Gated Residual | IEEETV
Binary neural networks have attracted numerous attention in recent years. However, mainly due to the information loss stemming from the biased binarization,...
neural networksbalancedbinarygatedresidual
https://arxiv.org/abs/2407.20590v1
[2407.20590v1] Exploring Liquid Neural Networks on Loihi-2
Abstract page for arXiv paper 2407.20590v1: Exploring Liquid Neural Networks on Loihi-2
neural networksexploringliquid
https://isprs-archives.copernicus.org/articles/XLVI-3-W1-2022/61/2022/isprs-archives-XLVI-3-W1-2022-61-2022-relations.html
ISPRS-ARCHIVES - Relations - CONVOLUTIONAL NEURAL NETWORKS BASED GNSS SIGNAL CLASSIFICATION USING...
convolutional neural networksisprs archivesgnss signalrelations
https://infoscience.epfl.ch/entities/publication/b4fed1ff-ad5a-4239-93df-d09888f94493/statistics
Bridging Discrete Choice Modeling and Neural Networks: Unifying Statistical Rigor and Predictive...
This thesis explores the innovative integration of Discrete Choice Modeling (DCM) and Machine Learning (ML), specifically Neural Networks (NN), within the...
choice modelingneural networksbridgingdiscrete
https://www.frontiersin.org/journals/aging/articles/10.3389/fragi.2024.1526146/full
Frontiers | Precise and interpretable neural networks reveal epigenetic signatures of aging across...
IntroductionDNA methylation (DNAm) age clocks are powerful tools for measuring biological age, providing insights into aging risks and outcomes beyond chrono...
neural networks
https://pubmed.ncbi.nlm.nih.gov/35671364/?dopt=Abstract&holding=idemdclib_fft&otool=idemdclib
Graph Neural Networks for Learning Molecular Excitation Spectra
Machine learning (ML) approaches have demonstrated the ability to predict molecular spectra at a fraction of the computational cost of traditional theoretical...
graph neural networksfor learningmolecularexcitationspectra
https://jp.mathworks.com/help/deeplearning/process-data-for-deep-neural-networks.html?s_tid=CRUX_lftnav
Preprocess Data for Deep Neural Networks - MATLAB & Simulink
Manage and preprocess data for deep learning
deep neural networkspreprocessdatamatlabsimulink
https://harvard-iacs.github.io/2018-CS109A/lectures/lecture-12/
Harvard CS109A | Lecture 12: Artificial Neural Networks 1 - Perceptron and Back Propagation
FALL 2018 - Harvard University, Institute for Applied Computational Science. Lecture 12: Artificial Neural Networks 1 - Perceptron and Back Propagation
artificial neural networks
https://www.cse.sc.edu/class/584
CSCE 584: Neural Networks and Their Applications | My Computer Science and Engineering Department
computer science engineeringneural networks
https://www.coursera.org/learn/neural-networks-computer-vision-foundations?authMode=signup
Neural Networks and Computer Vision Foundations | Coursera
Offered by Edureka. This course guides you through the foundational principles behind neural networks and computer vision systems, focusing ... Enroll for free.
neural networkscomputer visionfoundationscoursera
https://www.helsinki.fi/en/researchgroups/inverse-problems/seminars/some-experiments-with-convolutional-neural-networks-using-complex-geometric-solutions-for-the-clasification-of-stroke-using-eit
Some experiments with Convolutional Neural Networks using Complex Geometric Solutions for the...
Rashmi Murthy (University of Helsinki) 21.10.2019, Exactum C124, 2pm-3pm
convolutional neural networks
https://www.coursera.org/learn/neural-networks-deep-learning/
Neural Networks and Deep Learning | Coursera
Offered by DeepLearning.AI. In the first course of the Deep Learning Specialization, you will study the foundational concept of neural ... Enroll for free.
neural networksdeep learningcoursera
https://prezi.com/v/ow9ydri1zlc9/create-convincing-music-with-neural-networks/
Create Convincing Music With Neural Networks by Madeline Amariutei on Prezi Video
Create Convincing Music With Neural Networks
music withneural networks
https://repository.lib.ncsu.edu/items/236bfc7d-33ba-4de0-a30a-c247ea5b6f51
Study of Morphology and Artificial Neural Networks for Detecting Microcalcifications.
artificial neural networksstudymorphologydetecting
https://hh.diva-portal.org/smash/record.jsf?pid=diva2:286845
Training neural networks by stochastic optimisation
neural networkstrainingstochasticoptimisation
https://brain.ieee.org/event/international-joint-conference-on-neural-networks-ijcnn/
International Joint Conference on Neural Networks (IJCNN) | IEEE Brain
neural networksinternationaljointconferenceijcnn
https://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1744983
Graph Neural Networks for low-energy event classification & reconstruction in IceCube
graph neural networkslow energy
https://www.smartsheet.com/neural-network-applications?iOS=
Real-Life Applications of Neural Networks | Smartsheet
Learn how neural networks are changing the very nature of communication, work, and leisure.
real life applicationsneural networkssmartsheet
https://dukespace.lib.duke.edu/items/16fc0d0d-2415-4bb6-b3f2-7be7a15669d3
Component Neural Networks of Morality
neural networkscomponentmorality
https://research.ibm.com/publications/expressive-1-lipschitz-neural-networks-for-robust-multiple-graph-learning-against-adversarial-attacks
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial...
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks for ICML 2021 by Xin Zhao et al.
neural networks
https://fr.mathworks.com/help/deeplearning/ug/introduction-to-convolutional-neural-networks.html
Learn About Convolutional Neural Networks - MATLAB & Simulink
An introduction to convolutional neural networks and how they work in MATLAB.
convolutional neural networkslearn aboutmatlabsimulink
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012616
Deep neural networks for endemic measles dynamics: Comparative analysis and integration with...
Author summary Mechanistic models have been foundational in developing an understanding of the transmission dynamics of infectious diseases including measles....
deep neural networks
https://experts.umn.edu/en/publications/environmental-sensitivity-evaluation-of-neural-networks-in-unmann/
Environmental Sensitivity Evaluation of Neural Networks in Unmanned Vehicle Perception Module -...
environmental sensitivityneural networksunmanned vehicleevaluation
https://arxiv.org/abs/2111.10657v4
[2111.10657v4] Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Abstract page for arXiv paper 2111.10657v4: Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
graph neural networksout of
https://dannagurari.colorado.edu/course-category/neural-networks-and-deep-learning/
Neural Networks and Deep Learning Archives - Danna Gurari
This course covers the fundamentals of neural networks and deep learning as well as how they are used to address many artificial intelligence problems in...
neural networksdeep learningarchivesdannagurari
https://research.monash.edu/en/publications/accounting-method-selection-using-neural-networks-and-multi-crite/
Accounting method selection using neural networks and multi-criteria decision making - Monash...
neural networks
https://www.coursera.org/learn/packt-deep-learning-with-real-world-projects-rokef?authMode=signup
Foundations of Deep Learning and Neural Networks | Coursera
Offered by Packt. Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time ... Enroll for free.
foundations of deep learningneural networkscoursera
https://engineering.cmu.edu/news-events/news/2018/12/14-grover-neural-networks.html
Strength training deep neural networks - College of Engineering at Carnegie Mellon University
A team led by Grover created more efficient deep neural networks called PolyDot coding to reduce errors and increase processing speed.
deep neural networkscollege of engineeringstrength training
https://infoscience.epfl.ch/entities/publication/b669e1cd-8d6a-43c3-bfad-318549408496
Neural networks as mechanisms to regulate division of labor
In social insects, workers perform a multitude of tasks such as foraging, nest construction and brood rearing without central control of how work is allocated...
neural networksdivision ofmechanismsregulatelabor
https://publications-cnrc.canada.ca/eng/view/object/?id=7a021653-1b1a-49d5-80fe-7e4e3ad7b72e
Railway joint detection using deep convolutional neural networks - NRC Publications Archive -...
Railway joint detection using deep convolutional neural networks
convolutional neural networksrailwayjointdetectionusing
https://pmc.ncbi.nlm.nih.gov/articles/PMC8360394/
Graph Neural Networks and Their Current Applications in Bioinformatics - PMC
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particularly well in various tasks that process graph structure...
graph neural networkscurrent applicationsbioinformaticspmc
https://research.ibm.com/publications/conversion-of-artificial-recurrent-neural-networks-to-spiking-neural-networks-for-low-power-neuromorphic-hardware
Conversion of artificial recurrent neural networks to spiking neural networks for low-power...
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware for ICRC 2016 by Peter U. Diehl et al.
recurrent neural networksconversionartificial
https://theses.gla.ac.uk/4493/
Ship steering control using feedforward neural networks - Enlighten Theses
steering controlneural networksshipusingfeedforward
https://it.mathworks.com/company/user_stories/mercedes-benz-simulates-hardware-sensors-with-deep-neural-networks.html
Mercedes-Benz Simulates Hardware Sensors with Deep Neural Networks - MATLAB & Simulink
Mercedes-Benz used Deep Learning Toolbox and Fixed-Point Designer to create a pipeline for deploying neural networks created and trained in Python to...
deep neural networksmercedes benzhardware sensors
https://collaborate.princeton.edu/en/publications/nonlinear-impairment-compensation-using-neural-networks-4/
Nonlinear impairment compensation using neural networks - Princeton University
neural networksnonlinearimpairmentcompensationusing
https://scholars.cityu.edu.hk/en/activities/ieee-transactions-on-neural-networks-and-learning-systems-journal-3/
IEEE Transactions on Neural Networks and Learning Systems (Journal) - CityUHK Scholars
neural networkslearning systemsieeetransactions
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6723
Lupulus: A Flexible Hardware Accelerator For Neural Networks | IEEETV
Neural networks have become indispensable for a wide range of applications, but they suffer from high computational- and memory-requirements, requiring...
for neural networksflexiblehardwareaccelerator
https://source.android.google.cn/docs/core/interaction/neural-networks?hl=es-419
Controladores de la API de Neural Networks | Android Open Source Project
de laneural networksopen sourcecontroladoresapi
https://yaroslavvb.blogspot.com/2011/04/neural-networks-making-come-back.html?showComment=1535048645902
Machine Learning, etc: Neural Networks making a come-back?
Five years ago I ran some queries on Google Scholar to see trends on the number of papers that mention particular phrase. The number of hit...
machine learningneural networksetcmakingcome
https://is.mpg.de/publications/sinhofsch23
The Hessian perspective into the Nature of Convolutional Neural Networks | MPI-IS
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to...
convolutional neural networksinto naturehessianperspective
https://end-to-end-machine-learning.teachable.com/courses/321-convolutional-neural-networks/lectures/14556550
1.2 1D convolution for neural networks, part 2: Convolution copies the
for neural networksconvolutionpartcopies
https://pure.psu.edu/en/publications/geographical-feature-classification-from-text-using-active-convol/
Geographical feature classification from text using (active) convolutional neural networks - Penn...
convolutional neural networksgeographical featureclassificationtext
https://research.birmingham.ac.uk/en/publications/spatially-adaptive-filter-units-for-deep-neural-networks/
Spatially-adaptive filter units for deep neural networks - University of Birmingham
deep neural networksfilter unitsuniversity ofadaptive
https://qiskit-community.github.io/qiskit-machine-learning/locale/hi_IN/apidocs/qiskit_machine_learning.neural_networks.html
Quantum neural networks (qiskit_machine_learning.neural_networks) - Qiskit Machine Learning 0.7.1
neural networksmachine learningquantumqiskit
https://collaborate.princeton.edu/en/publications/fuzzy-decision-neural-networks/fingerprints/
Fuzzy-decision neural networks - Fingerprint - Princeton University
neural networksfuzzydecisionfingerprintprinceton
https://research.nvidia.com/index.php/publication/2023-11_graph-neural-networks-enhanced-decoding-quantum-ldpc-codes
Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes | Research
In this work, we propose a fully differentiable iterative decoder for quantum low-density parity-check (LDPC) codes. The proposed algorithm is composed of...
graph neural networksenhanced
https://www.mdpi.com/2073-8994/15/9/1723
Deep Learning and Neural Networks: Decision-Making Implications
Deep learning techniques have found applications across diverse fields, enhancing the efficiency and effectiveness of decision-making processes. The...
deep learningneural networksdecision makingimplications
https://digipedia.tudelft.nl/tutorial/neural-networks-2/
Neural Networks - DigiPedia
Nov 19, 2024 - Your gateway to mastering computational methods, techniques, and tools at your own pace.
neural networksdigipedia
https://www.mis.mpg.de/de/events/series/graph-neural-networks-mini-meeting-at-mpi-mis
Graph Neural Networks Mini Meeting at MPI MiS: MPI MIS
graph neural networksminimeetingmpimis
https://wiki.ubc.ca/Course:CPSC522/Recurrent_Neural_Networks
Course:CPSC522/Recurrent Neural Networks - UBC Wiki
recurrent neural networkscourseubcwiki
https://uwspace.uwaterloo.ca/items/e07772b6-24b3-4786-a03e-2f737916bc1d
Applications of Neural Networks in Classifying Trained and Novel Gestures Using Surface...
Current prosthetic control systems explored in the literature that use pattern recognition can perform a limited number of pre-assigned functions, as they must...
neural networks
https://publications.rwth-aachen.de/record/1012037/references?ln=de
Diffractive neural networks with polynomial phase masks for laser beam shaping with...
Buske, Paul; Michels, Louis; Wahl, Christian; Grossert, Christopher; Hofmann, Oskar Alexander; Bonhoff, Annika; Holly, Carlo
neural networksphase maskslaser beampolynomial
https://nl.mathworks.com/matlabcentral/answers/38068-regression-function-of-neural-networks
Regression function of Neural Networks - MATLAB Answers - MATLAB Central
Regression function of Neural Networks. Learn more about regression, neural network, neural networks, artificial
neural networksregressionfunctionmatlabanswers
https://research.utwente.nl/en/publications/backdoor-mitigation-indeep-neural-networks-viastrategic-retrainin/
Backdoor Mitigation in Deep Neural Networks via Strategic Retraining - University of Twente...
deep neural networks
https://events.ubc.ca/event/introduction-to-machine-learning-neural-networks__trashed-2/2024-03-08/
Introduction to Machine Learning: Neural Networks - UBCevents
Mar 8, 2024 - In this workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and...
introduction tomachine learningneural networks
https://www.sei.cmu.edu/library/graph-convolutional-neural-networks-3/
Graph Convolutional Neural Networks | CMU Software Engineering Institute
This project used graph signal processing formalisms to create new deep learning tools for graph convolutional neural networks (GCNNs).
convolutional neural networkssoftware engineeringgraphcmuinstitute
https://es.mathworks.com/help/deeplearning/ug/verification-of-neural-networks.html
Verification of Neural Networks - MATLAB & Simulink
Learn about verification of neural networks using AI Verification Library for Deep Learning Toolbox.
neural networksverificationmatlabsimulink
https://video.ucdavis.edu/media/Provable+Repair+of+Deep+Neural+Networks+/1_mzhabc7r
Provable Repair of Deep Neural Networks - University of California, Davis
Deep Neural Networks (DNNs) have grown in popularity over the past decade and are now being used in safety-critical domains such as aircraft collision...
deep neural networksprovablerepairuniversitycalifornia
https://yaroslavvb.blogspot.com/2011/04/neural-networks-making-come-back.html?showComment=1645108875120
Machine Learning, etc: Neural Networks making a come-back?
Five years ago I ran some queries on Google Scholar to see trends on the number of papers that mention particular phrase. The number of hit...
machine learningneural networksetcmakingcome
https://www.mis.mpg.de/events/event/on-cortical-and-subcortical-neural-networks-for-implementating-visual-attention-and-saccadic-eye-movements-neurobiology-and-models
On cortical and subcortical neural networks for implementating visual attention and saccadic eye...
neural networks
https://www.cl.uzh.ch/en/studies/studies-BA-MA/teaching/BaMasterArbeit/Expired-projects/Using-neural-networks-for-spelling-normalisation.html
Using neural networks for spelling normalisation | Department of Computational Linguistics | UZH
neural networksdepartment ofcomputational linguisticsusingspelling
https://www.work.caltech.edu/library/107.html
Neural Networks - Hidden Layers (Abu-Mostafa)
neural networkshidden layersabumostafa
https://www.engadget.com/2016-03-11-google-is-using-neural-networks-to-improve-translate.html
Google is using neural networks to improve Translate
Mar 11, 2016 - Google has got a pretty good handle on AI, judging by its shocking back-to-back wins against a 9-dan champ Lee Sedol in the intricate strategy game Go. Though...
neural networksgoogleusingimprovetranslate
https://scholars.cityu.edu.hk/en/publications/an-online-unsupervised-structural-plasticity-algorithm-for-spikin/
An online unsupervised structural plasticity algorithm for spiking neural networks - CityUHK...
spiking neural networksonlineunsupervisedstructuralplasticity
https://collaborate.princeton.edu/en/publications/noninvertibility-and-resonance-in-discrete-time-neural-networks-f/fingerprints/
Noninvertibility and resonance in discrete-time neural networks for time-series processing -...
neural networksfor seriesresonancediscrete
https://cordis.europa.eu/project/id/320708/reporting/fr
Intracranial COnnection with Neural Networks for Enabling Communication in Total paralysis | FP7 |...
Latest report summary
neural networks
https://ai.g2.com/marketplace/?tag=neural-networks
Best AI Tools for Neural Networks | G2
Discover the best AI tools and agents for neural-networks. Browse verified tools with pricing, features, and reviews on G2's AI Marketplace.
best ai toolsfor neural networks
https://impact.ornl.gov/en/publications/learning-compact-representations-of-neural-networks-using-discrim/
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) - Oak Ridge...
neural networks
https://pmc.ncbi.nlm.nih.gov/articles/PMC3941086/
Antagonistic neural networks underlying differentiated leadership roles - PMC
The emergence of two distinct leadership roles, the task leader and the socio-emotional leader, has been documented in the leadership literature since the...
neural networksleadership rolesantagonisticunderlyingdifferentiated
https://www.ic-aann.com/
2026 6th International Conference on Advanced Algorithms and Neural Networks (AANN 2026)
2026 6th International Conference on Advanced Algorithms and Neural Networks (AANN 2026)
international conferenceadvanced algorithmsneural networks
https://research.google/pubs/heterogenous-graph-neural-networks-for-species-distribution-modeling/
Heterogeneous graph neural networks for species distribution modeling
graph neural networksspecies distributionheterogeneousmodeling
https://ub01.uni-tuebingen.de/xmlui/handle/10900/87271
Leveraging uncertainty information from deep neural networks for disease detection
deep neural networksleveraginguncertaintyinformationdisease
https://publikationen.bibliothek.kit.edu/1000139776
Motion representation with spiking neural networks for graspin...
Die Natur bedient sich Millionen von Jahren der Evolution, um adaptive physikalische Systeme mit effizienten Steuerungsstrategien zu erzeugen. Im Gegensatz zur
spiking neural networksmotionrepresentation
https://panford.github.io/publication/bitrade
Bilateral Trade Modelling with Graph Neural Networks - Kobby Panford-Quainoo
Jan 1, 2020 - This paper is about the number 2. The number 3 is left for future work.
graph neural networksbilateral trademodelling
https://fr.mathworks.com/help/stats/neural-networks-for-classification.html
Neural Networks - MATLAB & Simulink
Neural networks for binary and multiclass classification
neural networksmatlabsimulink
https://events.st-andrews.ac.uk/events/going-beyond-tools-deep-neural-networks-for-ancient-greek-epigraphic-networks/
Going beyond tools: Deep neural networks for ancient Greek epigraphic networks | Events
This is a School of Classics Event. **Abstracts** Recent advances in Artificial Intelligence are transforming the study of ancient languages, enabling
deep neural networksgoing beyondancient greektools
https://uk.mathworks.com/help/deeplearning/export-deep-neural-networks.html?s_tid=CRUX_topnav
Export Deep Neural Networks - MATLAB & Simulink
Export networks to external deep learning platforms
deep neural networksexportmatlabsimulink
https://aaronhan223.github.io/publications/icml2022/
Architecture Agnostic Federated Learning for Neural Networks - Xing Han (Aaron)
for neural networksfederated learningarchitectureagnosticxing
https://nuit-blanche.blogspot.com/2015/11/circulants-in-neural-networks.html
Nuit Blanche: Circulants in Neural Networks, Randomized Skeleton, Quantization based Fast Inner...
A blog about Compressive Sensing, Computational Imaging, Machine Learning. Using priors to avoid the curse of dimensionality arising in Big Data.
nuit blancheneural networks
https://arxiv.org/abs/2602.22241
[2602.22241] Stochastic Neural Networks for Quantum Devices
Abstract page for arXiv paper 2602.22241: Stochastic Neural Networks for Quantum Devices
neural networksstochasticquantumdevices
https://www.cs.cit.tum.de/en/sccs/news/news/article/oliver-beck-sampling-weights-of-graph-neural-networks/
Oliver Beck: Sampling weights of Graph Neural Networks - Chair of Scientific Computing
graph neural networksoliver becksamplingweights
https://www.quics.umd.edu/publications/analyzing-convergence-quantum-neural-networks-deviations-neural-tangent-kernels
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels | Joint...
neural networksanalyzingconvergencequantum
https://dev.to/nutscracker87/series/36292
Building Neural Networks in Rust from Scratch Series' Articles - DEV Community
View Building Neural Networks in Rust from Scratch Series' Articles on DEV Community
neural networksfrom scratchseries articlesbuildingrust
https://infoscience.epfl.ch/entities/publication/b4fed1ff-ad5a-4239-93df-d09888f94493/thesisdetails
Bridging Discrete Choice Modeling and Neural Networks: Unifying Statistical Rigor and Predictive...
This thesis explores the innovative integration of Discrete Choice Modeling (DCM) and Machine Learning (ML), specifically Neural Networks (NN), within the...
choice modelingneural networksbridgingdiscrete
https://forge.engineering.asu.edu/furiproject/neural-networks-implementation-on-embedded-devices/
Neural Networks Implementation on Embedded Devices - Fulton Forge Student Research Expo
Nov 15, 2022 - For this project, the goal is to understand the constraints of deploying a neural network model onto an embedded system. The idea is to train a model and...
neural networksembedded devicesstudent researchimplementation
https://edrn.cancer.gov/data-and-resources/publications/32863584-3191-multi-path-x-d-recurrent-neural-networks-for-collaborative-image-classification/
Multi-path x-D Recurrent Neural Networks for Collaborative Image Classification.
This is a publication by a member of the Early Detection Research Network.
recurrent neural networksmultipathx
https://rescience.github.io/bibliography/Mahlau_2023.html
[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
graph neural networksexplainabilityviasubgraphexplorations
https://seclab.illinois.edu/property-inference-attacks-on-fully-connected-neural-networks-using-permutation-invariant-representations
Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant...
Security and privacy research in the areas of health information technology and critical infrastructure. Part of the Computer Science Department and the...
neural networkspropertyinferenceattacksfully