Search Results - causal adversarial autoencoder

Causal Adversarial Autoencoder for Disentangled SAR Image Representation and Few-Shot Target Recognition

Authors: Qian Guo Huilin Xu Feng Xu

Source: IEEE Transactions on Geoscience and Remote Sensing. 61:1-14

C-Gan-Vae: Causal Generative Adversarial Variational Autoencoder for Few Shot Fine Grained Cross Domain Fault Diagnosis for Planetary Gearbox

Authors: Lixiao Cao Aoren Liu Zheng Qian et al.

Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization

Authors: Xiaokang Zhou Xuzhe Zheng Tian Shu et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:2066-2079

Subject Terms: 11. Sustainability

Access URL: https://pubmed.ncbi.nlm.nih.gov/37976189

Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region.

Authors: Luo, Zijing Zuo, Renguang

Source: Mathematical Geosciences. Jan2025, Vol. 57 Issue 1, p193-220. 28p.

Subject Terms: *MACHINE learning, *PATTERN recognition systems, *GENERATIVE adversarial networks, *CAPSULE neural networks, *AUTOENCODERS, *DEEP learning

Fairness without the Sensitive Attribute via Causal Variational Autoencoder

Authors: Grari, Vincent Lamprier, Sylvain Detyniecki, Marcin

Contributors: Grari, Vincent Lamprier, Sylvain Detyniecki, Marcin

Source: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. :696-702

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Statistics - Machine Learning, Computers and Society (cs.CY), 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2109.04999
https://hal.sorbonne-universite.fr/hal-03923281v1
https://doi.org/10.24963/ijcai.2022/98

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation

Authors: Li, Xinshu Yao, Lina

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 12: AAAI-24 Technical Tracks 12; 13664-13672 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Causal Learning, ML: Deep Generative Models & Autoencoders

File Description: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29271/30399; https://ojs.aaai.org/index.php/AAAI/article/view/29271/30400; https://ojs.aaai.org/index.php/AAAI/article/view/29271

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29271
https://doi.org/10.1609/aaai.v38i12.29271

Effective Treatment of Drug-Resistant Cancers (Pancreatic, Glioblastoma, Metastatic) — Vaccine and Drug Development through the Hamzah Model

Authors: JALALI, SEYED RASOUL

Subject Terms: cancer, oncology, drug resistance, multidrug resistance, tumour heterogeneity, pancreatic cancer, glioblastoma, metastatic cancer, resistant tumours, adaptive resistance, tumour relapse, chemotherapy, radiotherapy, immunotherapy, targeted therapy, nanomedicine, nanotechnology, nanoparticle drug delivery, liposomal delivery, lipid nanoparticles, PLGA nanoparticles, PEGylated nanoparticles, controlled release, targeted release, tumour microenvironment, hypoxia, angiogenesis, vascularisation, tumour stem cells, immune evasion, T–cell activation, CTL response, Th1 induction, immune checkpoint inhibition, PD–1, PD–L1, CTLA–4, CAR–T therapy, NK cells, macrophages, dendritic cells, adaptive immunity, innate immunity, cytokines, interleukins, interferons, chemokines, tumour–associated macrophages, tumour infiltrating lymphocytes, tumour–associated fibroblasts, stromal interactions, tumour signalling, EGFR resistance, PI3K/AKT pathway, MAPK pathway, mTOR signalling, tyrosine kinase inhibition, DNA repair mechanisms, homologous recombination, non–homologous end joining, mismatch repair, DNA repair overdrive, genomic instability, chromosomal instability, mutational landscape, oncogenic mutations, tumour suppressor loss, TP53, BRCA1, BRCA2, KRAS, NRAS, BRAF, EGFR mutations, HER2 amplification, MYC activation, cell cycle dysregulation, apoptosis evasion, senescence bypass, autophagy regulation, metabolic rewiring, Warburg effect, glycolysis, oxidative phosphorylation, mitochondrial dysfunction, lactate export, pH regulation, proton transporters, ion channels, tumour acidity, ROS signalling, redox balance, antioxidant defences, glutathione, thioredoxin, peroxiredoxin, ferroptosis, necroptosis, pyroptosis, cell death pathways, fractional calculus, fractal derivatives, fractional order models, complex integration, multiscale integration, matter–energy transformation, quantum biology, quantum noise, stochastic modelling, chaos theory, bifurcation analysis, attractors, strange attractors, phase transitions, metastability, dynamic equilibrium, complex adaptive systems, systems biology, integrative modelling, computational oncology, mathematical oncology, bioinformatics, omics integration, genomics, transcriptomics, proteomics, metabolomics, epigenomics, pharmacogenomics, pharmacokinetics, pharmacodynamics, PK–PD modelling, absorption, distribution, metabolism, excretion, clearance, plasma volume, bioavailability, half–life, dose–response, EC50, IC50, Emax, Hill coefficient, drug synergy, drug antagonism, combination therapy, polytherapy, cocktail therapy, adaptive dosing, dose escalation, therapeutic window, therapeutic index, off–target effects, side effect minimisation, toxicity reduction, safety margin, quality of life, survival rate, progression–free survival, overall survival, relapse–free survival, clinical trials, preclinical trials, in vivo models, in vitro models, xenografts, organoids, patient–derived xenografts, spheroids, co–culture systems, 3D models, microfluidics, lab–on–chip, organ–on–chip, bioreactors, lyophilisation, freeze drying, nanofabrication, nanocarriers, smart nanoparticles, responsive nanoparticles, stimuli–responsive release, pH–sensitive release, temperature–sensitive release, redox–sensitive release, enzyme–sensitive release, targeted ligands, antibodies, aptamers, peptides, folate targeting, transferrin targeting, EGFR targeting, HER2 targeting, integrins, RGD peptides, nuclear localisation, mitochondrial targeting, lysosomal escape, endosomal release, exosomes, extracellular vesicles, vesicular trafficking, clathrin mediated endocytosis, caveolin mediated endocytosis, macropinocytosis, receptor mediated endocytosis, intracellular trafficking, pharmacological modelling, biophysics, thermodynamics, statistical mechanics, entropy, enthalpy, free energy, Gibbs free energy, Helmholtz free energy, partition functions, state transitions, molecular dynamics, Monte Carlo simulations, lattice models, Ising model, spin systems, neural networks, deep learning, convolutional neural networks, recurrent neural networks, reinforcement learning, generative adversarial networks, variational autoencoders, XGBoost, random forest, decision trees, ensemble learning, predictive modelling, classification, regression, clustering, dimensionality reduction, PCA, t–SNE, UMAP, feature engineering, feature selection, biomarkers, predictive biomarkers, prognostic biomarkers, diagnostic biomarkers, liquid biopsy, circulating tumour DNA, circulating tumour cells, exosomal RNA, tumour markers, CA19–9, CEA, AFP, PSA, CA125, imaging biomarkers, radiomics, PET imaging, MRI, CT imaging, functional imaging, diffusion weighted imaging, perfusion imaging, metabolic imaging, nuclear imaging, image–guided therapy, image processing, signal processing, time series analysis, Fourier analysis, Laplace transforms, fractional Laplacian, differential equations, partial differential equations, integro–differential equations, fractional differential equations, boundary conditions, initial conditions, stability criteria, numerical analysis, discretisation, finite element analysis, spectral methods, operator theory, eigenvalues, eigenvectors, Hilbert space, Banach space, functional analysis, operator semigroups, semigroup theory, stochastic differential equations, Ito calculus, Stratonovich calculus, Langevin dynamics, Fokker–Planck equation, Kolmogorov equations, path integrals, quantum field theory, string theory, cosmological models, general relativity, special relativity, spacetime curvature, energy density, dark matter, dark energy, entropy flow, holographic principle, quantum entanglement, decoherence, superposition, wavefunction collapse, Schrödinger equation, Dirac equation, Heisenberg uncertainty, Planck constant, Boltzmann constant, Avogadro constant, dimensional analysis, scaling laws, renormalisation group, universality, critical phenomena, nonlinearity, nonlocality, long–range interactions, fractional Brownian motion, Lévy flights, anomalous diffusion, subdiffusion, superdiffusion, percolation theory, fractal geometry, Hausdorff dimension, Minkowski dimension, Cantor sets, Sierpinski structures, Koch curve, fractal networks, scale–free networks, small–world networks, network theory, graph theory, adjacency matrices, Laplacian matrices, spectral graph theory, network robustness, percolation threshold, epidemics on networks, cancer networks, signalling networks, metabolic networks, gene regulatory networks, protein–protein interaction networks, immune networks, dynamical networks, multiscale networks, hierarchical clustering, modularity, community detection, information theory, Shannon entropy, mutual information, Kullback–Leibler divergence, Jensen–Shannon divergence, complexity theory, algorithmic complexity, Kolmogorov complexity, Turing machines, computational complexity, NP–hard problems, optimisation, convex optimisation, non–convex optimisation, gradient descent, stochastic gradient descent, Adam optimiser, evolutionary algorithms, genetic algorithms, particle swarm optimisation, ant colony optimisation, simulated annealing, Bayesian optimisation, Markov chain Monte Carlo, Gibbs sampling, variational inference, probabilistic programming, causal inference, counterfactual analysis, sensitivity analysis, robustness analysis, uncertainty quantification, error propagation, variance reduction, surrogate modelling, reduced order models, high performance computing, parallel computing, distributed computing, GPU acceleration, CUDA programming, MPI, OpenMP, quantum computing, quantum algorithms, Grover's algorithm, Shor's algorithm, quantum annealing, quantum machine learning, hybrid quantum–classical models, future contingencies, scenario planning, stress testing, resilience modelling, adaptive systems, evolutionary dynamics, co–evolution, arms race, predator–prey models, ecological modelling, fitness landscapes, landscape ruggedness, adaptive peaks, valley crossing, tumour evolution, clonal evolution, immune surveillance, immune escape, therapeutic resistance, evolutionary game theory, replicator dynamics, Nash equilibria, evolutionary stable strategies, cancer ecosystems, tumour ecology, competition, cooperation, parasitism, resource allocation, niche construction, tumour dormancy, relapse mechanisms, latency, minimal residual disease, eradication thresholds, cure probability, survival probability, remission, remission durability, patient stratification, personalised medicine, precision medicine, systems oncology, integrative oncology, translational oncology, computational biomedicine, mathematical medicine, fractal oncology, ψ–Hamzah Equation, Hamzah model, Seyed Rasoul Jalali, ψ–Hamzah multiscale framework, ψ–Hamzah fractional–fractal derivative, ψ–Hamzah complex integration, ψ–Hamzah cancer resistance model, ψ–Hamzah pharmacokinetics, ψ–Hamzah pharmacodynamics, ψ–Hamzah adaptive dosing, ψ–Hamzah entropy analysis, ψ–Hamzah intelligence index, ψ–Hamzah validation, ψ–Hamzah field simulation, ψ–Hamzah therapeutic design, ψ–Hamzah vaccine, ψ–Hamzah drug, ψ–Hamzah intellectual property, ψ–Hamzah universal cure

Fairness without the sensitive attribute via Causal Variational Autoencoder

Authors: Grari, Vincent Lamprier, Sylvain Detyniecki, Marcin

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2109.04999

Integrating causal representations with domain adaptation for fault diagnosis.

Authors: Jiang, Ming Zhou, Kuang Gao, Jiahui et al.

Source: Reliability Engineering & System Safety. Aug2025, Vol. 260, pN.PAG-N.PAG. 1p.

Subject Terms: *REPRESENTATIONS of graphs, *AUTOENCODERS, *CAUSAL models, *PREDICTION models, *CLASSIFICATION

A transformer guided multi modal learning framework for predictive and causal assessment of thermal runaway in high energy batteries.

Authors: Gajghate, Sameer Sheshrao Noor, Muhamad Mat Kumar, Subhash et al.

Source: Scientific Reports. 10/23/2025, Vol. 15 Issue 1, p1-20. 20p.

Subject Terms: *MACHINE learning, *RISK assessment, *ENERGY storage, *CAUSAL inference, *THERMAL stability, *REAL-time computing, *TRANSFORMER models

Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools.

Authors: Khelfaoui, Issam Wang, Wenxin Meskher, Hicham et al.

Source: Frontiers in Microbiology; 2025, p1-20, 20p

Subject Terms: MACHINE learning, HEALTH policy, PREDICTIVE validity, MICROBIOTA, ECONOMETRICS, CAUSAL artificial intelligence, INTERDISCIPLINARY research, EVIDENCE-based policy

Robust Modeling through Causal Priors and Data Purification in Machine Learning

Authors: Pottie, Gregory J Bhat, Sunay Gajanan

Index Terms: Computer science, Computer engineering, Electrical engineering, Artificial Intelligence, Causality, Generative Models, Machine Learning, Poison Defense, Robust Classification, publication

URL: https://escholarship.org/uc/item/98f7s81c
https://escholarship.org/content/qt98f7s81c/qt98f7s81c.pdf

DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data

Authors: Ghosh, Shantanu Feng, Zheng Bian, Jiang et al.

Index Terms: Computer Science - Machine Learning, Statistics - Methodology, text

URL: http://arxiv.org/abs/2303.04201

Missing Value Imputation Model Based on Adversarial Autoencoder Using Spatiotemporal Feature Extraction.

Authors: Dong-Hoon Shin Seo-El Lee Byeong-Uk Jeon et al.

Source: Intelligent Automation & Soft Computing; 2023, Vol. 37 Issue 2, p1925-1940, 16p

Subject Terms: MISSING data (Statistics), INTELLIGENT transportation systems, FEATURE extraction, JOINTS (Engineering), TRAFFIC safety, DATA transmission systems

Deep Learning-Based Probabilistic Autoencoder for Residential Energy Disaggregation: An Adversarial Approach.

Authors: Cimen, Halil Wu, Ying Wu, Yanpeng et al.

Source: IEEE Transactions on Industrial Informatics; Dec2022, Vol. 18 Issue 12, p8399-8408, 10p

Fully embedded time series generative adversarial networks.

Authors: Beck, Joe Chakraborty, Subhadeep

Source: Neural Computing & Applications; Aug2024, Vol. 36 Issue 24, p14885-14894, 10p

Subject Terms: GENERATIVE adversarial networks, TIME series analysis, TIME perspective, DATA modeling, DATA quality

Causal Intervention and Counterfactual Reasoning for Multimodal Pedestrian Trajectory Prediction.

Authors: Han, Xinyu Xu, Huosheng

Source: Journal of Imaging; Nov2025, Vol. 11 Issue 11, p379, 25p

Using Causality-Driven Graph Representation Learning for APT Attacks Path Identification.

Authors: Cheng, Xiang Kuang, Miaomiao Yang, Hongyu

Source: Symmetry (20738994). Sep2025, Vol. 17 Issue 9, p1373. 18p.

Subject Terms: *INTRUSION detection systems (Computer security), *ANOMALY detection (Computer security), *CAUSALITY (Physics), *INTERNET security, *GRAPH neural networks, *REINFORCEMENT learning, *REPRESENTATIONS of graphs

Accounting for dependencies among performance shaping factors in SPAR-H using a regularized autoencoder and WINGS-AISM

Authors: Xin Liu Shengyuan Yan Xiaodan Zhang

Source: Nuclear Engineering and Technology, Vol 57, Iss 1, Pp 103165- (2025)

Subject Terms: Nuclear power plants, Human reliability analysis, SPAR-H, Human error probability, Performance shaping factor, Regularized autoencoder, Nuclear engineering. Atomic power, TK9001-9401

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1738573324004133; https://doaj.org/toc/1738-5733

Access URL: https://doaj.org/article/bdba848d629e4c4b88f7970b2e062721

Generating sequential electronic health records using dual adversarial autoencoder.

Authors: Lee, Dongha Yu, Hwanjo Jiang, Xiaoqian et al.

Source: Journal of the American Medical Informatics Association; Sep2020, Vol. 27 Issue 9, p1411-1419, 9p, 3 Diagrams, 3 Charts, 2 Graphs