Saved in:
| Main Authors: | Jahangiri, Amir, Agback, Tatiana, Brath, Ulrika, Orekhov, Vladislav |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.20793 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
by: Abdelaleem, Eslam
Published: (2024)
by: Abdelaleem, Eslam
Published: (2024)
Beyond traditional Magnetic Resonance processing with Artificial Intelligence
by: Jahangiri, Amir, et al.
Published: (2024)
by: Jahangiri, Amir, et al.
Published: (2024)
Unsupervised learning of anomalous diffusion data
by: Muñoz-Gil, Gorka, et al.
Published: (2021)
by: Muñoz-Gil, Gorka, et al.
Published: (2021)
Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)
by: Manzo, Carlo
Published: (2021)
by: Manzo, Carlo
Published: (2021)
Coarse-graining conformational dynamics with multi-dimensional generalized Langevin equation: how, when, and why
by: Xie, Pinchen, et al.
Published: (2024)
by: Xie, Pinchen, et al.
Published: (2024)
Data-Efficient Learning of Anomalous Diffusion with Wavelet Representations: Enabling Direct Learning from Experimental Trajectories
by: Wang, Gongyi, et al.
Published: (2025)
by: Wang, Gongyi, et al.
Published: (2025)
Machine Learning Analysis of Anomalous Diffusion
by: Cai, Wenjie, et al.
Published: (2024)
by: Cai, Wenjie, et al.
Published: (2024)
Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks
by: Pineda, Jesús, et al.
Published: (2024)
by: Pineda, Jesús, et al.
Published: (2024)
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
by: Dehghani, Nima
Published: (2025)
by: Dehghani, Nima
Published: (2025)
Learning minimal representations of stochastic processes with variational autoencoders
by: Fernández-Fernández, Gabriel, et al.
Published: (2023)
by: Fernández-Fernández, Gabriel, et al.
Published: (2023)
How Easy Is It to Learn Motion Models from Widefield Fluorescence Single Particle Tracks?
by: Hendrix, Zachary H., et al.
Published: (2025)
by: Hendrix, Zachary H., et al.
Published: (2025)
Super-resolved anomalous diffusion: deciphering the joint distribution of anomalous exponent and diffusion coefficient
by: Lanoiselée, Yann, et al.
Published: (2024)
by: Lanoiselée, Yann, et al.
Published: (2024)
A mathematical theory for understanding when abstract representations emerge in neural networks
by: Wang, Bin, et al.
Published: (2025)
by: Wang, Bin, et al.
Published: (2025)
Deep brain microelectrode signal: $q$-statistical approach
by: Tavares, Ana Luiza Souza, et al.
Published: (2026)
by: Tavares, Ana Luiza Souza, et al.
Published: (2026)
Seabird trajectories map onto a reduced optimal-control bound for dynamic soaring
by: González, Louis, et al.
Published: (2026)
by: González, Louis, et al.
Published: (2026)
Geometric phase predicts locomotion performance in undulating living systems across scales
by: Rieser, Jennifer M, et al.
Published: (2019)
by: Rieser, Jennifer M, et al.
Published: (2019)
A unifying approach to diffusive transport in heterogeneous media
by: Lanoiselée, Yann, et al.
Published: (2026)
by: Lanoiselée, Yann, et al.
Published: (2026)
Exact Identity Linking Entropy Production and Mutual Information
by: Cho, Doohyeong, et al.
Published: (2025)
by: Cho, Doohyeong, et al.
Published: (2025)
Manifold-based transformation of probability distributions: application to the inverse problem of reconstructing distributions from experimental data
by: Oroguchi, Tomotaka, et al.
Published: (2024)
by: Oroguchi, Tomotaka, et al.
Published: (2024)
Physics-based signal analysis of genome sequences: GenomeBits overview
by: Canessa, E.
Published: (2023)
by: Canessa, E.
Published: (2023)
Scientific Data Compression and Super-Resolution Sampling
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
Hamiltonian replica exchange augmented with diffusion-based generative models and importance sampling to assess biomolecular conformational basins and barriers
by: Benayad, Zakarya, et al.
Published: (2025)
by: Benayad, Zakarya, et al.
Published: (2025)
Exact calculation of the probabilities of rare events in cluster-cluster aggregation
by: Rajesh, R., et al.
Published: (2024)
by: Rajesh, R., et al.
Published: (2024)
Fast frequency reconstruction using Deep Learning for event recognition in ring laser data
by: Di Somma, Giuseppe, et al.
Published: (2025)
by: Di Somma, Giuseppe, et al.
Published: (2025)
Automated Preparation of Nanoscopic Structures: Graph-Based Sequence Analysis, Mismatch Detection, and pH-Consistent Protonation with Uncertainty Estimates
by: Csizi, Katja-Sophia, et al.
Published: (2023)
by: Csizi, Katja-Sophia, et al.
Published: (2023)
Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations
by: Raddi, Robert M., et al.
Published: (2024)
by: Raddi, Robert M., et al.
Published: (2024)
Machine learning from limited data: Predicting biological dynamics under a time-varying external input
by: Kang, Hoony, et al.
Published: (2024)
by: Kang, Hoony, et al.
Published: (2024)
Network analysis with quantum dynamics clarifies why photosystem II exploits both chlorophyll a and b
by: Kim, Eunchul, et al.
Published: (2021)
by: Kim, Eunchul, et al.
Published: (2021)
Active Deep Kernel Learning of Molecular Properties: Realizing Dynamic Structural Embeddings
by: Ghosh, Ayana, et al.
Published: (2024)
by: Ghosh, Ayana, et al.
Published: (2024)
Designing Observables for Measurements with Deep Learning
by: Long, Owen, et al.
Published: (2023)
by: Long, Owen, et al.
Published: (2023)
OASIS: A Deep Learning Framework for Universal Spectroscopic Analysis Driven by Novel Loss Functions
by: Young, Chris, et al.
Published: (2025)
by: Young, Chris, et al.
Published: (2025)
Learning dynamical models from stochastic trajectories
by: Ronceray, Pierre
Published: (2024)
by: Ronceray, Pierre
Published: (2024)
The Universe as a Learning System
by: Shushi, Tomer
Published: (2024)
by: Shushi, Tomer
Published: (2024)
Deep Bayesian Filter for Bayes-faithful Data Assimilation
by: Tarumi, Yuta, et al.
Published: (2024)
by: Tarumi, Yuta, et al.
Published: (2024)
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later
by: Vadeboncoeur, Arnaud, et al.
Published: (2025)
by: Vadeboncoeur, Arnaud, et al.
Published: (2025)
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity
by: Pernot, Pascal
Published: (2023)
by: Pernot, Pascal
Published: (2023)
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection
by: Mei, Lin-Feng, et al.
Published: (2024)
by: Mei, Lin-Feng, et al.
Published: (2024)
Synergy as the failure of distributivity
by: Sevostianov, Ivan A., et al.
Published: (2024)
by: Sevostianov, Ivan A., et al.
Published: (2024)
Simple measures to capture the robustness and the plasticity of soil microbial communities
by: Shimada, Takashi, et al.
Published: (2024)
by: Shimada, Takashi, et al.
Published: (2024)
Tipping points in fitness landscape of heterogeneous populations
by: Bhattacharyya, Sumana, et al.
Published: (2024)
by: Bhattacharyya, Sumana, et al.
Published: (2024)
Similar Items
-
Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
by: Abdelaleem, Eslam
Published: (2024) -
Beyond traditional Magnetic Resonance processing with Artificial Intelligence
by: Jahangiri, Amir, et al.
Published: (2024) -
Unsupervised learning of anomalous diffusion data
by: Muñoz-Gil, Gorka, et al.
Published: (2021) -
Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)
by: Manzo, Carlo
Published: (2021) -
Coarse-graining conformational dynamics with multi-dimensional generalized Langevin equation: how, when, and why
by: Xie, Pinchen, et al.
Published: (2024)