Copertina

Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bhandari, Shailendra, Lincastre, Pedro, Lind, Pedro
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Machine Learning Quantum Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimizing quantum circuits with evolutionary algorithms for stable Boolean gates, elementary cellular automata, and highly entangled quantum states
di: Bhandari, Shailendra, et al.
Pubblicazione: (2024)

PARWiS: Winner determination under shoestring budgets using active pairwise comparisons
di: Bhandari, Shailendra
Pubblicazione: (2026)

Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
di: Orioma, Charles, et al.
Pubblicazione: (2025)

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity
di: Bhandari, Shailendra, et al.
Pubblicazione: (2024)

A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
di: Gili, Kaitlin, et al.
Pubblicazione: (2023)

IntLevPy: A Python library to classify and model intermittent and Lévy processes
di: Bhandari, Shailendra, et al.
Pubblicazione: (2025)

Experimental verification of the quantum nature of a neural network
di: Patrascu, Andrei T.
Pubblicazione: (2022)

Method for noise-induced regularization in quantum neural networks
di: Kuzmin, Viacheslav, et al.
Pubblicazione: (2024)

Jump-diffusion models of parametric volume-price distributions
di: Budhathoki, Anup, et al.
Pubblicazione: (2025)

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver
di: Jones, Benjamin D. M., et al.
Pubblicazione: (2024)

Quantum-limited stochastic optical neural networks operating at a few quanta per activation
di: Ma, Shi-Yuan, et al.
Pubblicazione: (2023)

Role of scrambling and noise in temporal information processing with quantum systems
di: Xiong, Weijie, et al.
Pubblicazione: (2025)

Zero-shot Quantum Neural Architecture Search
di: Dao, Tung, et al.
Pubblicazione: (2026)

Representation Theorem for Matrix Product States
di: Guo, Erdong, et al.
Pubblicazione: (2021)

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
di: Zada, Moustafa
Pubblicazione: (2025)

Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
di: Srimahajariyapong, Kasidit, et al.
Pubblicazione: (2025)

Superposed parameterised quantum circuits
di: Patapovich, Viktoria, et al.
Pubblicazione: (2025)

Non-binary artificial neuron with phase variation implemented on a quantum computer
di: de Borba, Jhordan Silveira, et al.
Pubblicazione: (2024)

Investigating the generative dynamics of energy-based neural networks
di: Tausani, Lorenzo, et al.
Pubblicazione: (2023)

Infinite-dimensional next-generation reservoir computing
di: Grigoryeva, Lyudmila, et al.
Pubblicazione: (2024)

A tensor network approach for chaotic time series prediction
di: Martínez-Peña, Rodrigo, et al.
Pubblicazione: (2025)

Exploring Biological Neuronal Correlations with Quantum Generative Models
di: Hernandes, Vinicius, et al.
Pubblicazione: (2024)

Norm-Q: Effective Compression Method for Hidden Markov Models in Neuro-Symbolic Applications
di: Gao, Hanyuan, et al.
Pubblicazione: (2025)

Hypercomplex neural network in time series forecasting of stock data
di: Kycia, Radosław, et al.
Pubblicazione: (2024)

Guided parallelized stochastic gradient descent for delay compensation
di: Sharma, Anuraganand
Pubblicazione: (2021)

Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes
di: Bossens, David M., et al.
Pubblicazione: (2025)

EQNN: Enhanced Quantum Neural Network
di: Chen, Abel C. H.
Pubblicazione: (2024)

Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
di: Schetakis, Nikolaos, et al.
Pubblicazione: (2025)

CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks
di: Mayorga, Alejandro Antonio, et al.
Pubblicazione: (2024)

Neural Architecture Search for Quantum Autoencoders
di: Agha, Hibah, et al.
Pubblicazione: (2025)

DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search
di: Xie, Shubing, et al.
Pubblicazione: (2025)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
di: Dutta, Siddhant, et al.
Pubblicazione: (2024)

Experimental differentiation and extremization with analog quantum circuits
di: Philip, Evan, et al.
Pubblicazione: (2025)

Quantum memristors for neuromorphic quantum machine learning
di: Lamata, Lucas
Pubblicazione: (2024)

A practical applicable quantum-classical hybrid ant colony algorithm for the NISQ era
di: Qiu, Qian, et al.
Pubblicazione: (2024)

A developmental approach for training deep belief networks
di: Zambra, Matteo, et al.
Pubblicazione: (2022)

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
di: Schechtman, Sholom, et al.
Pubblicazione: (2025)

Modular connectivity in neural networks emerges from Poisson noise-motivated regularisation, and promotes robustness and compositional generalisation
di: Qian, Daoyuan, et al.
Pubblicazione: (2025)

Call for Action: towards the next generation of symbolic regression benchmark
di: Aldeia, Guilherme S. Imai, et al.
Pubblicazione: (2025)

A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization
di: Bharadwaj, Suhas Suresh, et al.
Pubblicazione: (2026)