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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.OT
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The search results for "stat.OT" cover a range of advanced topics in statistical modeling and machine learning. Notable works include the use of Fibonacci numbers in genetic code modeling, addressing challenges in drug discovery with deep learning under data scarcity and covariate shifts, and exploring novel similarity measures in data mining. Additionally, there are studies on efficient arithmetic simulation via deduction modulo and the enhancement of generative recommenders through decomposed contextual token representations.
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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
arxiv.org
Efficiently Simulating Higher-Order Arithmetic by a First-Order Theory Modulo

In deduction modulo, a theory is not represented by a set of axioms but by a congruence on propositions modulo which the inference rules of standard deductive systems---such as for instance natural deduction---are applied. Therefore, the reasoning that is intrinsic of the theory does not appear in t…

cs.LO cs.CC
arxiv.org
Similarity of Objects and the Meaning of Words

We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extraction. Given a family of distances on a set of objects, a distance is universal up to a certain precision for that family i…

cs.CV cs.IR
arxiv.org
Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation

Recent advances in generative recommenders adopt a two-stage paradigm: items are first tokenized into semantic IDs using a pretrained tokenizer, and then large language models (LLMs) are trained to generate the next item via sequence-to-sequence modeling. However, these two stages are optimized for …

cs.IR cs.AI cs.CL
arxiv.org
Experimenting with Selected Automated Approaches for Bias Analysis

This work first presents our attempts to establish an automated model using state-of-the-art approaches for analysing bias in search results of Bing and Google. Experimental results indicate that the current class-wise F1-scores of our best model are not sufficient to establish an automated model fo…

cs.IR
arxiv.org
Liquid phase separation controlled by pH

We present a minimal model to study liquid phase separation in a fixed pH ensemble. The model describes a mixture composed of macromolecules that exist in three different charge states and have a tendency to phase separate. We introduce the pH dependence of phase separation by means of a set of reac…

physics.bio-ph cond-mat.soft
arxiv.org
Subtle pH differences trigger single residue motions for moderating conformations of calmodulin

This study reveals the essence of ligand recognition mechanisms by which calmodulin (CaM) controls a variety of Ca2+ signaling processes. We study eight forms of calcium-loaded CaM each with distinct conformational states. Reducing the structure to two degrees of freedom conveniently describes main …

physics.bio-ph q-bio.BM
arxiv.org
Heaven & Hell: One-Step Hub Consensus

Many networked systems require a central authority to enforce a global configuration against local peer influence. We study influence dynamics on finite weighted directed graphs with a distinguished hub node and binary vertex states ('Glory' or 'Gnash'). We give a sharp, local, and efficiently check…

cs.SI
arxiv.org
Estimation and Verification of Partially-Observed Discrete-Event Systems

This article considers state estimation and veri cation problems for an important class of man-made cyber-physical systems called Discrete-Event Systems (DES).…

eess.SY