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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 35

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Parameterization method of reservoir properties for ensemble-based data assimilation using intermediate latent space of StyleGAN
Sep 30, 2026Marcio A. Sampaio, Paulo H. Ranazzi, Martin J. BluntData Assimilation Latent Space
Departamento de Engenharia de Minas e de Petróleo, Escola Politécnica, Universidade de São Paulo, 05508-030, SP, Brasil. · Department of Earth Science and Engineering, Imperial College London, South Kensington, London, UK
Context-dependent time-series prediction via HyperReservoirs
Sep 28, 2026Kohei Tsuchiyama, Takatomo Mihana, Ryoichi Horisaki +1Reservoir Computing Reservoir
Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
LoRA-RC: Reservoir Computing with Low-Rank Adaptation
Sep 14, 2026Wenbin WanReservoir Computing Reservoir
Department of Mechanical Engineering, University of New Mexico, Albuquerque, NM 87131, USA
Photonic reservoir computing with dimensionally compressed readout
Sep 7, 2026Gerald Kobi, Mohab Abdalla, Miguel C. Soriano +1Reservoir Computing Reservoir
Université de Lorraine, CentraleSupélec, LMOPS, F-57000 Metz, France · Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), CSIC–UIB, Campus UIB, E-07122 Palma de Mallorca, Spain
A Single Atom in Front of a Mirror is a Universal Reservoir Computer
Aug 11, 2026Peter J. Ehlers, Phi Hung Nguyen, Kanu Sinha +4Reservoir Computing Reservoir
Wyant College of Optical Sciences, University of Arizona, Tucson, AZ, USA · Department of Physics, University of Arizona, Tucson, AZ, USA · School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia
From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching
Aug 1, 2026Nicola Visentin, Maximilian Stölzle, Mariano Ramírez Montero +3Reservoir Computing Reservoir
Department of Cognitive Robotics, Delft University of Technology, Delft, The Netherlands · Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA · Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
Lindblad-Inspired Multi-Timescale Reservoir Computing with Separable Rotation and Dissipation
Jul 27, 2026Jyotiranjan Beuria, Amit ShuklaReservoir Computing Reservoir
Frequency-Based Reservoir computing
Jul 27, 2026Arthur S PowanweReservoir Computing Reservoir
Department of Mathematics, Western University, London, ON, Canada
Approximate reservoir computing with a semiconductor laser for reducing energy consumption
Jul 25, 2026Tatsuki Ito, Kazutaka Kanno, Satoshi Kawakami +1Reservoir Computing Reservoir
Department of Information and Computer Sciences, Saitama University, 255 Shimokubo, Sakura-ku, Saitama City, Saitama 338-8570, Japan · Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
Photonic reservoir computing with complex networks
Jul 25, 2026Sion Park, Kohei Watabe, Satoshi Sunada +2Reservoir Computing Reservoir
Department of Information and Computer Sciences, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama City, Saitama 338-8570, Japan · Faculty of Mechanical Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 920-1192, Japan
Susceptible Reservoir Architectures for Regime-Conditional Volatility Forecasting
Jul 24, 2026Aliaksei KaliutauReservoir Autoregressive Model
Monodromy, London, United Kingdom.
LithoFormer: A Robust Framework for Stratigraphic Inference via Transformers
Jul 24, 2026Shwetha Salimath, Francesca Bugiotti, Sylvain Wlodarczyk +1Geological Semantic Understanding Lithology Classification
Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris-Saclay, SLB Montpellier, France · Laboratoire Interdisciplinaire des Sciences du Numérique, CentraleSupélec, CNRS, Université Paris-Saclay Gif-sur-Yvette, France · SLB Montpellier, France
Continual Video-MLLM Adaptation over Evolving Domains
Jul 21, 2026Rui Cheng, Meixing Shi, Yuxiang Cai +3Vision-Language Model Adaptation Domain Adaptation
School of Software Technology, Zhejiang University, Ningbo, China · Zhejiang Key Laboratory of Digital-Intelligence Service Technology, China · Hong Kong Polytechnic University, Hong Kong SAR +1
Quantum Reservoir Computing: Recent Advances and Future Directions
Jul 20, 2026Shehbaz Tariq, Muhammad Talha, Arshid Ali +2Reservoir Computing Quantum Computational Advantage
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg · School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
Jul 13, 2026Rahul Goswami, Shinjini Paul, Palash Ghosh +1Reservoir Computing Long-Range Temporal Dependencies
Department of Mathematics, Indian Institute of Technology Guwahati, India · SAFIR, Sorbonne University Abu Dhabi, United Arab Emirates · Leiden University, Leiden, South Holland, Netherlands +1
Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building
Jul 6, 2026Francesco Brandolin, Tariq AlkhalifahVelocity Field Diffusion Priors
King Abdullah University of Science and Technology (KAUST) Thuwal, Kingdom of Saudi Arabia
Boundary condition fidelity for bottom-hole pressure and CO2 plume prediction in geological carbon storage
Jun 25, 2026Romal Ramadhan, Seyyed A. Hosseini, Larry W. LakeDrilling Data Reservoir
Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA · Bureau of Economic Geology, The University of Texas at Austin, 10611 Exploration Way, Austin, TX 78758, USA · Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
Jun 25, 2026Augustinas Jučas, Yangchen PanClass-Incremental Learning Replay-Based Continual Learning
Department of Computer Science University of Oxford · Department of Engineering Sciences University of Oxford
Distilling a Modular Reservoir Through a Genomic Bottleneck
Jun 20, 2026Mani Hamidi, Sina Khajehabdollahi, Charley M. Wu +1Reservoir Computing Recurrent Neural Networks
Department of Computer Science, University of Tübingen, Tübingen, Germany · Flowers Team Inria, Bordeaux, France · Max Planck Institute for Biological Cybernetics, Tübingen, Germany +3
Distinguishing indistinguishable attractors: Unsupervised anomaly detection with reservoir computers
Jun 19, 2026Davide Prosperino, Haochun Ma, Christoph RäthReservoir Computing Reservoir
1Ludwig-Maximilians-Universität München, Faculty of Physics, Munich, 80539, Germany · 2Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institute for Frontier Materials on Earth and in Space, Cologne, 51170, Germany
The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection
Jun 14, 2026Emma LeonhartTransformer Architectures Generative Pretrained Transformers
HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification
Jun 13, 2026Md Farhadul Islam, Ishan Thakkar, J. Todd HastingsImage Classification Resnet-18
University of Kentucky · Lexington, USA
Effective Training Principles of Physical Reservoirs
Jun 8, 2026Sobhi Saeed, Mehmet Müftüoglu, Glitta R. Cheeran +3Reservoir Computing Reservoir
LEIBNIZ-INSTITUTE OF PHOTONIC TECHNOLOGY,2026 ALBERT-EINSTEIN-STR. 9, 07745 JENA, GERMANY · INSTITUTE OF APPLIED OPTICS AND BIOPHYSICS, FRIEDRICH SCHILLER UNIVERSITY JENA, HELMHOLTZWEG 4, 07745 JENA,Jun GERMANY
Short-Term Synaptic Plasticity Stabilizes Goal-Conditioned Dynamics in a PFC-Inspired Reservoir Model for Multistep Goal-Directed Action Planning
Jun 2, 2026Jin Nakamura, Yuichi KatoriSynaptic Plasticity Human Visual Cortex
Graduate School of Information Science and Technology, The University of Osaka, 1-5 Yamadaoka, Suita, 565-0871, Osaka, Japan · School of Systems Information Science, Future University Hakodate, 116-2 Kamedanakano-cho, Hakodate, 041-8655, Hokkaido, Japan
Mapping the evolution of small reservoirs in Brazil from 1984 to 2025 using deep learning
May 30, 2026Kylen Solvik, Luis Gustavo Carvalho, Marcia N. MacedoReservoir Remote Sensing
Department of Geography, University of Colorado Boulder, Boulder, CO 80309, USA · Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA · State University of Mato Grosso (UNEMAT), Nova Xavantina, MT, Brazil +3
Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System
May 27, 2026Clement Etienam, Juntao Yang, Oleg Ovcharenko +4Fourier Neural Operators Neural Operators
NVIDIA Corporation
Comparative Study of Vision-Based Metric Measurement for Large-Scale Planar Scenes
May 26, 2026ZhiXin SunCamera Control Long-Range Coherence
PowerChina Zhongnan Engineering Corporation Limited
Data-Specific Hyper-Parameter Design: A Paradigm Shift in Reservoir Computing
May 24, 2026G Manjunath, Juan-Pablo Ortega, Alma van der MerweReservoir Computing Reservoir
University of Pretoria. Department of Mathematics and Applied Mathematics. Pretoria 0002, South Africa. · Nanyang Technological University. Division of Mathematical Sciences. School of Physical and Mathematical Sciences. Singapore.
Multi-Agentic Approach for History Matching of Oil Reservoirs
May 14, 2026Linar Samigullin, Sergei Shumilin, Evgeny BurnaevReservoir Multi-Agent Orchestration
Skoltech, AI Center, Moscow, Russia · AIRI, Moscow, Russia
Reservoir property image slices from the Groningen gas field for image translation and segmentation
May 5, 2026Abdulrahman Al-Fakih, Nabil Sariah, Ardiansyah Koeshidayatullah +1Vision Datasets Geological Semantic Understanding
Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. · Center for Integrative Petroleum Research, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia
Robustness and Transferability of Pix2Geomodel for Bidirectional Facies Property Translation in a Complex Reservoir
May 5, 2026Abdulrahman Al-Fakih, Nabil Sariah, Ardiansyah Koeshidayatullah +2Reservoir Covariance
Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. · Center for Integrative Petroleum Research, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia
An architectural capacity ceiling, not a barren plateau: why a fixed-encoding variational quantum circuit cannot fit the Lorenz-63 attractor
Apr 26, 2026Tushar PandeyVariational Quantum Circuits Reservoir Computing
Texas A&M University, College Station, TX 77843, USA
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Apr 23, 2026Rishona Daniels, Duna Wattad, Ronny Ronen +2Reservoir Computing Reram Crossbar
Viterbi Faculty of Electrical and Computing Engineering, Technion - Israel Institute of Technology, Haifa, Israel · College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, United Kingdom
On Dominant Manifolds in Reservoir Computing Networks
Apr 7, 2026Noa Kaplan, Alberto Padoan, Anastasia BizyaevaReservoir Computing Recurrent Neural Networks
Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data
Apr 24, 2025Davide Prosperino, Haochun Ma, Christoph RäthReservoir Computing Reservoir
Ludwig-Maximilians-Universität München, Faculty of Physics, Geschwister-Scholl-Platz 1, 80539 Munich, Germany · Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institute for Frontier Materials on Earth and in Space, Linder Höhe, 51147 Cologne, Germany

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

Parameterization method of reservoir properties for ensemble-based data assimilation using intermediate latent space of StyleGAN

Marcio A. Sampaio, Paulo H. Ranazzi, Martin J. Blunt

Departamento de Engenharia de Minas e de Petróleo, Escola Politécnica, Universidade de São Paulo, 05508-030, SP, Brasil. · Department of Earth Science and Engineering, Imperial College London, South Kensington, London, UK

Data Assimilation Latent Space Geological Semantic Understanding Photorealistic Style Transfer Reservoir

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Ensemble smoothers are the most successful and efficient techniques currently available for history matching. However, because these methods rely on Gaussian assumptions, their performance is severely degraded when the prior geology is described in terms of complex facies distributions (non-Gaussian). In this way, for these methods, we need to apply efficient parameterization techniques. Currently, the most efficient methods for performing parameterization are deep learning models. However, given the variety of existing deep learning models, studies have not identified which is most suitable for use with ensemble-based methods, although some important models had already been evaluated. Based on a recent literature review, the most promising models selected were VAE-GAN, Latent Diffusion, and StyleGAN models. As a novel aspect of this work, data assimilation with the second generation of StyleGAN (StyleGAN2) model was performed using the latent z-space and intermediate w-space, separately. They were applied in two 2D case studies: one categorical (three facies) and the other continuous. The results demonstrated that all three models are highly efficient, with the StyleGAN2 model standing out for generating samples with geological realism and achieving excellent data matching in the cases studied. Our findings show that performing data assimilation with StyleGAN2 using the intermediate space (w-space) yielded better results than the traditional application in the latent space (z-space). This is due to the fact that ESMDA uses linear updates and the w-space is much more linear and disentangled than the highly entangled z-space, thereby ensuring that the updated vectors remain close to realistic geological patterns. These results were validated using main geostatistical and history matching metrics.

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