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Entangled Relativity is a novel theory of relativity that offers a more economical approach than General Relativity. It successfully recovers both General Relativity and standard quantum field theory within a specific (yet generic) limit.…

广义相对论与量子宇宙学 · 物理学 2025-05-09 Olivier Minazzoli

Robotic systems for household object rearrangement often rely on latent preference models inferred from human demonstrations. While effective at prediction, these models offer limited insight into the interpretable factors that guide human…

人工智能 · 计算机科学 2026-01-01 Emmanuel Fashae , Michael Burke , Leimin Tian , Lingheng Meng , Pamela Carreno-Medrano

Experimental evidene of the last decades has made the status of "collapses of the wave function" even more shaky than it already was on conceptual grounds: interference effects turn out to be detectable even when collapses are typically…

物理学史与哲学 · 物理学 2019-01-08 Dennis Dieks

One aspect of the algorithmic lens in theoretical computer science is a view on other scientific disciplines that focuses on satisfactory solutions that adhere to real-world constraints, as opposed to solutions that would be optimal…

计算机科学与博弈论 · 计算机科学 2024-03-14 Eric Neyman

We will argue that a phenomenological analysis of consciousness, similar to that of Husserl, shows that the effects of phenomenal qualities shape our perception of the world. It also shows the way the physical and mathematical sciences…

物理学史与哲学 · 物理学 2024-09-04 Rodolfo Gambini , Jorge Pullin

In this note we introduce linear regression with basis functions in order to apply Bayesian model selection. The goal is to incorporate Occam's razor as provided by Bayes analysis in order to automatically pick the model optimally able to…

统计理论 · 数学 2015-12-16 Miguel de Benito Delgado , Philipp Wacker

The problem of interpreting quantum theory on a large (e.g. cosmological) scale has been commonly conceived as a search for objective reality in a framework that is fundamentally probabilistic. The Everett programme attempts to evade the…

高能物理 - 理论 · 物理学 2009-11-10 Brandon Carter

One of the objectives of designing feature selection learning algorithms is to obtain classifiers that depend on a small number of attributes and have verifiable future performance guarantees. There are few, if any, approaches that…

机器学习 · 计算机科学 2010-05-05 Mohak Shah , Mario Marchand , Jacques Corbeil

Quantum theory is applicable, in principle, to both the microscopic and macroscopic realms. It is therefore worthwhile to investigate whether it is possible to evolve a quantum-compatible view of the properties and states of macroscopic…

量子物理 · 物理学 2007-08-14 Ravi Gomatam

We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain the main concepts of this quantitative approach to defining `information'. We discuss the extent to which Kolmogorov's and Shannon's…

信息论 · 计算机科学 2008-09-17 Peter D. Grunwald , Paul M. B. Vitanyi

Neural networks' expressiveness comes at the cost of complex, black-box models that often extrapolate poorly beyond the domain of the training dataset, conflicting with the goal of finding compact analytic expressions to describe scientific…

机器学习 · 计算机科学 2023-11-29 Owen Dugan , Rumen Dangovski , Allan Costa , Samuel Kim , Pawan Goyal , Joseph Jacobson , Marin Soljačić

The program of a physical concept of information is outlined in the framework of quantum theory. A proposal is made for how to avoid the introduction of axiomatic observables. The conventional (collapse) and the Everett interpretations of…

量子物理 · 物理学 2015-06-26 H. D. Zeh

Decision-making in complex systems often relies on machine learning models, yet highly accurate models such as XGBoost and neural networks can obscure the reasoning behind their predictions. In operations research applications,…

机器学习 · 计算机科学 2025-02-28 Gaurav Arwade , Sigurdur Olafsson

We provide the first social choice theory approach to the question of what constitutes a community in a social network. Inspired by the classic preferences models in social choice theory, we start from an abstract social network framework,…

社会与信息网络 · 计算机科学 2014-10-21 Christian Borgs , Jennifer Chayes , Adrian Marple , Shang-Hua Teng

Background: Understanding the relationship between the Omics and the phenotype is a central problem in precision medicine. The high dimensionality of metabolomics data challenges learning algorithms in terms of scalability and…

Scientists have long preferred the simplest possible explanation of their data. More re-cently, a worrying trend to favor complex interpretations has taken hold because they are perceived as more impactful.

科普物理 · 物理学 2022-04-19 Igor I. Mazin

Core quantum postulates including the superposition principle and the unitarity of evolutions are natural and strikingly simple. I show that -- when supplemented with a limited version of predictability (captured in the textbook accounts by…

量子物理 · 物理学 2022-11-09 Wojciech Hubert Zurek

Assembly theory (AT) quantifies selection using the assembly equation and identifies complex objects that occur in abundance based on two measurements, assembly index and copy number, where the assembly index is the minimum number of…

From a general abstract system theoretical perspective, a quantum-like system description in the spirit of a generalized Quantum Theory may appear to be simpler and more natural than a classically inspired description. We investigate the…

量子物理 · 物理学 2015-03-25 Hartmann Römer

Quantum theory describes our universe incredibly successfully. To our classically-inclined brains, however, it is a bizarre description that requires a re-imagining of what fundamental reality, or "ontology", could look like. This thesis…

量子物理 · 物理学 2019-01-08 John-Mark A. Allen