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This paper introduces dynestyx, a software library that makes it easier to do Bayesian inference for dynamical systems inside a probabilisti
Researchers present ModeratorLM, a new speech large language model that decides when a voice assistant should speak in group conversations b
Researchers introduce EurekAgent, a system that helps large language model (LLM) agents do metric-driven scientific discovery by changing th
Researchers introduce a method to recover the mix of data domains that shaped a large language model (LLM) using only the text the model gen
This paper introduces dynestyx, a software library that makes it easier to do Bayesian inference for dynamical systems inside a probabilisti
This paper studies why deep neural networks sometimes suffer from exploding or vanishing gradients and how residual connections (the skip li
Researchers used a focused electron beam to make single-photon light sources at precise locations in hexagonal boron nitride (hBN). They con
Researchers with the TEXONO experiment used very low-threshold germanium detectors to search for coherent elastic scattering of reactor elec
Quantum circuits are probabilistic. Each time you run one you get a sample from an unknown distribution. Repeating the run many times — call
This paper shows how to pick quantities of options to maximize two common risk‑reward scores when the underlying stock returns are skewed an
Researchers used a focused electron beam to make single-photon light sources at precise locations in hexagonal boron nitride (hBN). They con
This paper gives a short and direct proof that the standard Hamiltonian used to describe non-relativistic charged particles coupled to the q
This paper studies why deep neural networks sometimes suffer from exploding or vanishing gradients and how residual connections (the skip li
This paper proposes and tests a simple idea: use a cutoff on the spectrum of the covariant Laplacian — that is, on the invariant eigenvalues
This paper reports the first experimental bound on the flux of thermal solar neutrinos — very low‑energy neutrinos from the Sun — using publ
This paper shows that one can compute parton distribution functions (PDFs) directly in momentum space on a finite lattice. PDFs describe how
Researchers with the TEXONO experiment used very low-threshold germanium detectors to search for coherent elastic scattering of reactor elec
Researchers studied a simple question with big practical consequences: when should a learning method try to align two data types in the same
This paper reviews a family of methods that compute electronic excited states by optimizing the electron orbitals for each state, a strategy