Local Intrinsic Dimensionality, Entropy and Statistical Divergences. [PDF]
Entropy (Basel), 2022 Bailey J, Houle ME, Ma X.
europepmc +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Advanced Intelligent Systems, EarlyView.Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, EarlyView.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
The Optimal Axis-Symmetrical Plasma Potential Distribution for Plasma Mass Separation. [PDF]
Molecules, 2022 Oiler AP +3 more
europepmc +1 more source
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
Advanced Intelligent Systems, EarlyView.This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source
A Soft Robotic Jellyfish with Decoupled Actuators for Agile 3D Locomotion
Advanced Intelligent Systems, EarlyView.This study presents a soft robotic jellyfish featuring a functionally decoupled actuation architecture. By separating propulsion, steering, and vertical regulation into independent modules, the robot overcomes conventional coupled‐motion limitations. Utilizing a passive‐valve‐based differential drag strategy and lateral water jets, it achieves agile 3D
Zhuoheng Li +6 more
wiley +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
Advanced Physics Research, EarlyView.A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Applications of natural constraints in critical point theory to boundary value problems on domains with rotation symmetry [PDF]
, 1985 Groesen, E.W.C. van
core +2 more sources
Repeating Nuclear Transients From Repeating Partial Tidal Disruption Events
Astronomische Nachrichten, EarlyView.ABSTRACT Extragalactic nuclear transients that exhibit repeating outbursts can be modeled as the repeated dynamical interaction between bound stars and supermassive black holes (SMBHs). A subset of these transients, with recurrence timescales of months‐to‐years, have been explained as accretion flares from the repeated tidal stripping of a star by an ...
Ananya Bandopadhyay +4 more
wiley +1 more source
Pointwise monotonicity of heat kernels. [PDF]
Rev Mat Complut, 2023 Alonso-Orán D +3 more
europepmc +1 more source