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Found 7 papers, 4 papers with code
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology
On all the datasets, we achieve a new SOTA, with a reduction of the error with respect to the previous SOTA ranging from 29. 35% to 100. 00%, and often achieving performances very close to perfect classification.
Deep Learning Classification of Lake Zooplankton
Our annotated data, code and classification models are freely available online.
Underwater dual-magnification imaging for automated lake plankton monitoring
We present an approach for automated in-situ monitoring of phytoplankton and zooplankton communities based on a dual magnification dark-field imaging microscope/camera.
Spin-glass dynamics in the presence of a magnetic field: exploration of microscopic properties
The spin-glass correlation length, $\xi(t, t_\mathrm{w};T)$, is analysed both in experiments and in simulations in terms of the waiting time $t_\mathrm{w}$ after the spin glass has been cooled down to a stabilised measuring temperature $T<T_\mathrm{g}$ and of the time $t$ after the magnetic field is changed.
Disordered Systems and Neural Networks
Temperature chaos is present in off-equilibrium spin-glass dynamics
We find a dynamic effect in the non-equilibrium dynamics of a spin glass that closely parallels equilibrium temperature chaos.
Disordered Systems and Neural Networks
A scaling law describes the spin-glass response in theory, experiments and simulations
The correlation length $\xi$, a key quantity in glassy dynamics, can now be precisely measured for spin glasses both in experiments and in simulations.
Statistical Mechanics Disordered Systems and Neural Networks
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
We analyze numerically the training dynamics of deep neural networks (DNN) by using methods developed in statistical physics of glassy systems.
