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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.ML
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The search results for "stat.ML" highlight a range of studies involving statistical and machine learning applications in diverse fields. These include the investigation of ESO data paper availability on arXiv, a model for asset volatility using the multiplicative Langevin process, and the development of an adaptive distribution generator using quantum walks. Additionally, there are discussions on pricing exotic options with conditional diffusion models and joint representation learning of biological knowledge bases, particularly in the context of the COVID-19 pandemic. Each study employs advanced statistical methods or machine learning techniques to address specific challenges in its respective domain.
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arxiv.org
On the Availability of ESO Data Papers on arXiv/astro-ph

Using the ESO Telescope Bibliography database telbib, we have investigated the percentage of ESO data papers that were submitted to the arXiv/astro-ph e-print server and that are therefore free to read. Our study revealed an availability of up to 96% of telbib papers on arXiv over the years 2010 to …

astro-ph.IM cs.DL
arxiv.org
Multiplicative Langevin Process for Volatilities Produces Observed Q-Variance Regularities

Q-variance (so-called) posits a statistical relationship $\mathbf{E}(σ^2 | z) = σ_0^2 + \tfrac{1}{2}z^2$ between an asset's volatility $σ^2$, as observed in a time interval $T$, and its (suitably scaled) return $z$ in the same interval. We here show that this relationship is {\em exactly equivale…

q-fin.PR q-fin.ST
arxiv.org
Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration

We present a novel Adaptive Distribution Generator that leverages a quantum walks-based approach to generate high precision and efficiency of target probability distributions. Our method integrates variational quantum circuits with discrete-time quantum walks, specifically, split-step quantum walks …

quant-ph cs.CV q-fin.PR
arxiv.org
Valuation of Exotic Options and Counterparty Games Based on Conditional Diffusion

This paper addresses the challenges of pricing exotic options and structured products, which traditional models often fail to handle due to their inability to capture real-world market phenomena like fat-tailed distributions and volatility clustering. We introduce a Diffusion-Conditional Probability…

q-fin.PR cs.LG q-fin.RM
arxiv.org
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases

The widespread of Coronavirus has led to a worldwide pandemic with a high mortality rate. Currently, the knowledge accumulated from different studies about this virus is very limited. Leveraging a wide-range of biological knowledge, such as gene ontology and protein-protein interaction (PPI) network…

q-bio.MN cs.LG q-bio.BM q-bio.GN
arxiv.org
Optimizing Native Ion Mobility Q-TOF in Helium and Nitrogen for Very Fragile Noncovalent Interactions

The meaningful comparison of ion mobility (IM) results and of collision cross section (CCS) values on different platforms is a prerequisite for using CCS for identification or structural assignment. The amount of internal energy imparted to the ions prior to the ion mobility cell is a source of expe…

q-bio.QM q-bio.BM
arxiv.org
Modeling biological systems with delays in Bio-PEPA

Delays in biological systems may be used to model events for which the underlying dynamics cannot be precisely observed, or to provide abstraction of some behavior of the system resulting more compact models. In this paper we enrich the stochastic process algebra Bio-PEPA, with the possibility of a…

cs.CE q-bio.QM
arxiv.org
Geometric theory on the elasticity of bio-membranes

The purpose of this paper is to study the shapes and stabilities of bio-membranes within the framework of exterior differential forms. After a brief review of the current status in theoretical and experimental studies on the shapes of bio-membranes, a geometric scheme is proposed to discuss the shap…

cond-mat.soft math-ph math.DG q-bio.QM
arxiv.org
A Mathematical Model for the Genetic Code(s) Based on Fibonacci Numbers and their q-Analogues

This work aims at showing the relevance and the applications possibilities of the Fibonacci sequence, and also its q-deformed or quantum extension, in the study of the genetic code(s). First, after the presentation of a new formula, an indexed double Fibonacci sequence, comprising the first six Fibo…

q-bio.OT
arxiv.org
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions

Accelerating the discovery of novel and more effective therapeutics is an important pharmaceutical problem in which deep learning is playing an increasingly significant role. However, real-world drug discovery tasks are often characterized by a scarcity of labeled data and significant covariate shif…

q-bio.BM cs.LG stat.ML