A parametric autoencoder with non-negativity and softmax constraints learns interpretable latent chemical components and couples them to kinetics and heat release for improved reduced-order modeling of decomposition.
Nature methods , volume=
5 Pith papers cite this work. Polarity classification is still indexing.
years
2026 5representative citing papers
Lunar impact flashes on highlands exhibit longer and shallower decay than on maria, with the dual-size ejecta model attributing the difference mainly to fine droplets and indicating lithology dependence in early cratering.
Tonic electrodermal activity responds additively to cognitive stress and physical exertion with no interaction, making it the strongest candidate for stress detection during activity among the five signals tested.
Rain on Rosh Chodesh or Shabbat Mevarechim raises the probability of a rainy month by roughly 16 percentage points in 1950-2024 Israeli data, with the signal weakening over time in line with shorter precipitation events.
Toeplitz MLP Mixers replace attention with masked Toeplitz multiplications for sub-quadratic complexity while retaining more sequence information and outperforming on copying and in-context tasks.
citing papers explorer
-
A Data-Driven Parametric Reduced-Order Chemical Kinetics Model Derived from Atomistic Simulations
A parametric autoencoder with non-negativity and softmax constraints learns interpretable latent chemical components and couples them to kinetics and heat release for improved reduced-order modeling of decomposition.
-
Mare versus highland lunar impact flash light curve dichotomy
Lunar impact flashes on highlands exhibit longer and shallower decay than on maria, with the dual-size ejecta model attributing the difference mainly to fine droplets and indicating lithology dependence in early cratering.
-
Separating Acute Psychological Stress from Physical Exertion in Biometric Signals
Tonic electrodermal activity responds additively to cognitive stress and physical exertion with no interaction, making it the strongest candidate for stress detection during activity among the five signals tested.
-
Two Hebrew folk meteorological proverbs tested: rainfall on Rosh Chodesh and Shabbat Mevarechim as predictors of monthly precipitation (Israel, 1950-2024)
Rain on Rosh Chodesh or Shabbat Mevarechim raises the probability of a rainy month by roughly 16 percentage points in 1950-2024 Israeli data, with the signal weakening over time in line with shorter precipitation events.
-
Toeplitz MLP Mixers are Low Complexity, Information-Rich Sequence Models
Toeplitz MLP Mixers replace attention with masked Toeplitz multiplications for sub-quadratic complexity while retaining more sequence information and outperforming on copying and in-context tasks.