Imagen de Portada

New analytic formulae for memory and prediction functions in reservoir computers with time delays

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mullarkey, Peyton, Marzen, Sarah
Formato:	Preprint
Publicado:	2025
Materias:	Computational Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quantum reservoir computing in Jaynes-Cummings models: Nonlinear memory and time-series prediction
por: Das, Sreetama, et al.
Publicado: (2025)

Cognitive biases can move opinion dynamics from consensus to signatures of transient chaos
por: Dong, Emily, et al.
Publicado: (2024)

Comment on Deterministic Information Bottleneck
por: Marzen, Sarah
Publicado: (2024)

Resource-rational reinforcement learning and sensorimotor causal states, and resource-rational maximiners
por: Marzen, Sarah
Publicado: (2024)

Improving the prediction of spatio-temporal chaos by combining parallel reservoir computing with dimensionality reduction
por: Fleddermann, Luk, et al.
Publicado: (2025)

Universality conditions of unified classical and quantum reservoir computing
por: Monzani, Francesco, et al.
Publicado: (2024)

Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter
por: Jinno, Takuya, et al.
Publicado: (2025)

Solving the time-complexity problem and tuning the performance of quantum reservoir computing by artificial memory restriction
por: Čindrak, Saud, et al.
Publicado: (2023)

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

Ground and excited-state energies with analytic errors and short time evolution on a quantum computer
por: Stroschein, Timothy, et al.
Publicado: (2025)

Connection between memory performance and optical absorption in quantum reservoir computing
por: Götting, Niclas, et al.
Publicado: (2025)

Experimental memory control in continuous variable optical quantum reservoir computing
por: Paparelle, Iris, et al.
Publicado: (2025)

Oscillations enhance time-series prediction in reservoir computing with feedback
por: Kawai, Yuji, et al.
Publicado: (2024)

Quantum reservoir computing for predicting and characterizing chaotic maps
por: Li, Qingyu, et al.
Publicado: (2025)

Quantumness can enhance resilience to statistical noise in spin-network quantum reservoir computing
por: Kora, Youssef, et al.
Publicado: (2025)

Dynamical analysis of a parameter-aware reservoir computer
por: Sisodia, Dishant, et al.
Publicado: (2024)

Distinct memory properties in spin-wave reservoir computing based on synthetic antiferromagnet
por: Shinkai, Takumu, et al.
Publicado: (2026)

Path integral for the quartic oscillator: An accurate analytic formula for the partition function
por: Caffarel, Michel
Publicado: (2023)

Apparent Selection Pressure for Dynamic Range and Channel Capacity in Bacterial Chemotactic Sensors
por: Cui, Ziyi, et al.
Publicado: (2026)

Combined spatially and temporally multiplexed photonic reservoir computer with a diffractively coupled VCSEL-array
por: Robertson, Joshua, et al.
Publicado: (2026)

Robustly optimal dynamics for active matter reservoir computing
por: Gaimann, Mario U., et al.
Publicado: (2025)

Feedback-driven quantum reservoir computing for time-series analysis
por: Kobayashi, Kaito, et al.
Publicado: (2024)

Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications
por: Marzen, Luke, et al.
Publicado: (2026)

Static Generation of Efficient OpenMP Offload Data Mappings
por: Marzen, Luke, et al.
Publicado: (2024)

An introduction to reservoir computing
por: Vrugt, Michael te
Publicado: (2024)

Compressed sensing enabled high-bandwidth and large dynamic range magnetic sensing
por: Haim, Galya, et al.
Publicado: (2025)

Quantum-enhanced long short-term memory with attention for spatial permeability prediction in oilfield reservoirs
por: Zhang, Muzhen, et al.
Publicado: (2026)

NPCoronaPredict: A computational pipeline for the prediction of the nanoparticle-biomolecule corona
por: Rouse, Ian, et al.
Publicado: (2024)

Multi-time scale and high performance in-material reservoir computing using graphene-based ion-gating reservoir
por: Nishioka, Daiki, et al.
Publicado: (2025)

Higher order quantum reservoir computing for non-intrusive reduced-order models
por: Jain, Vinamr, et al.
Publicado: (2024)

Squeezing as a resource for time series processing in quantum reservoir computing
por: García-Beni, Jorge, et al.
Publicado: (2023)

A computational framework to predict the spreading of Alzheimer's disease
por: Vazquez-Palomo, A., et al.
Publicado: (2026)

Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing
por: Abbott, Cliff B., et al.
Publicado: (2025)

Quantum computational complexity of matrix functions
por: Cifuentes, Santiago, et al.
Publicado: (2024)

Optimal information injection and transfer mechanisms for active matter reservoir computing
por: Gaimann, Mario U., et al.
Publicado: (2025)

Quantum reservoir computing in atomic lattices
por: Llodrà, Guillem, et al.
Publicado: (2024)

Input-dependence in quantum reservoir computing
por: Martínez-Peña, Rodrigo, et al.
Publicado: (2024)

Quantum reservoir computing in finite dimensions
por: Martínez-Peña, Rodrigo, et al.
Publicado: (2022)

Modular quantum extreme reservoir computing
por: Lau, Hon Wai, et al.
Publicado: (2024)

Reconstructing lattice QCD spectral functions with stochastic pole expansion and Nevanlinna analytic continuation
por: Huang, Li, et al.
Publicado: (2023)