Results 31 to 40 of about 5,581 (264)

MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling

CoRR
State-space models (SSMs) have recently attention as an efficient alternative to computationally expensive attention-based models for sequence modeling. They rely on linear recurrences to integrate information over time, enabling fast inference, parallelizable training, and control over recurrence stability.
Mahdi Karami, Ali Behrouz, Peilin Zhong, Razvan Pascanu, Vahab Mirrokni   +4 more
openaire   +2 more sources

Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering

, 2021
Parameter learning of the state-space model (SSM) plays a significant role in the modelling of time-series data and dynamical systems. However, the closed-form inference of the parameter posterior is often limited by sequential construction and non ...

core   +1 more source

In-profile monitoring for cluster-correlated data based on regularized state space model

, 2022
Cluster-correlated data: profiles within a cluster have similar patterns and are correlated, while profiles from different clusters have quite different features and are almost uncorrelated.In-profile monitoring: we aim to model the dynamic evolution ...
liu, P (via Mendeley Data)
core   +1 more source

Mechanical and Electrical Phenotype of hiPSC‐Cardiomyocytes on Fibronectin‐Based Hydrogels

Advanced Healthcare Materials, EarlyView.
We introduce fibronectin‐based PEG hydrogels with controlled rigidity to enable the culture of iPSC‐derived cardiomyocytes. These substrates offer an alternative to the current culture of these cells on fibronectin‐coated glass, providing enhanced structural and functional behavior. The system provides a more physiologically relevant platform to assess
Ana Da Silva Costa, Lineta Stonkute, Sara Trujillo, Mariana Azevedo Gonzalez Oliva, Francis Burton, Matthew J. Dalby, Oana Dobre, Godfrey Smith, Manuel Salmeron‐Sanchez   +8 more
wiley   +1 more source

Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling

CoRR
Structured State Space Models (SSMs), which are at the heart of the recently popular Mamba architecture, are powerful tools for sequence modeling. However, their theoretical foundation relies on a complex, multi-stage process of continuous-time modeling and subsequent discretization, which can obscure intuition.
Sutashu Tomonaga, Kenji Doya, Noboru Murata   +2 more
openaire   +2 more sources

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Promiscuity‐Guided Enzyme Evolution via Substrate Multiplexed Screening

Angewandte Chemie, EarlyView.
Through historical context and recent examples, this Minireview summarizes the strengths, limitations, and practical considerations for the implementation of substrate multiplexed screening (SUMS) in enzyme evolution. ABSTRACT An enzyme's ability to react with diverse substrates while maintaining high yield and selectivity, termed “substrate ...
Holly A. Weilbaker, Meghan E. Campbell, Peyton M. Higgins, Andrew R. Buller   +3 more
wiley   +2 more sources

Synaptic state matching: a dynamical architecture for predictive internal representation and feature perception

, 2011
Here we consider the possibility that a fundamental function of sensory cortex is the generation of an internal simulation of sensory environment in real-time.
Saeed Tavazoie (7618), Tavazoie Saeed, Saeed Tavazoie, Tavazoie, Saeed   +3 more
core   +1 more source

Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method

Advanced Science, EarlyView.
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas, Daniëlle C. A. Duffhues, Pim van den Bersselaar, Sarah Pragnere, Bart G. W. Groenen, Mariana Azevedo Gonzalez Oliva, Giuseppe Ciccone, Manuel Salmeron‐Sanchez, Carlijn V. C. Bouten, Jose J. Muñoz, Vito Conte   +10 more
wiley   +1 more source

MambaLIC: State-Space Models for Efficient Remote Sensing Image Compression

Remote Sensing
Remote sensing (RS) images, characterized by their large size and rich texture, require algorithms capable of effectively integrating both global and local features for compression.
Haobo Xiong, Kai Liu, Huachao Xiao, Chongyang Ding, Feiyang Wang   +4 more
doaj   +1 more source