Dávid Nagy
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View article: A First-Principles Derivation of the Fine-Structure Constant from Holographic Bit-Mode Balance
A First-Principles Derivation of the Fine-Structure Constant from Holographic Bit-Mode Balance Open
We present a parameter-free derivation of the dimensionless fine-structure con-stant α, based on a holographic accounting of surface information (bits) versus in-terior quantum degrees of freedom (Dirac modes) inside a minimal, self-stabil…
View article: Holographic Vacuum Energy from Quantized Horizons
Holographic Vacuum Energy from Quantized Horizons Open
We present a geometric and horizon-based reformulation of the cosmological constant problem. Building on holographic arguments and the quantization of curvature in curved spacetime, we derive a universal relation connecting the local vacuu…
View article: A First-Principles Derivation of the Fine-Structure Constant from Holographic Bit-Mode Balance
A First-Principles Derivation of the Fine-Structure Constant from Holographic Bit-Mode Balance Open
We present a parameter-free derivation of the dimensionless fine-structure con-stant α, based on a holographic accounting of surface information (bits) versus in-terior quantum degrees of freedom (Dirac modes) inside a minimal, self-stabil…
View article: From Singularity to Kerr–AdS Formation: Black Hole Core Stabilization via Quantum Torsion
From Singularity to Kerr–AdS Formation: Black Hole Core Stabilization via Quantum Torsion Open
Classical general relativity predicts that the interior of a rotating black hole inevitably leads to a singularity, where physical quantities diverge, and the theory breaks down. In this work, we investigate whether this outcome can be avo…
View article: A Holographic Solution to the Vacuum Catastrophe: An Entropic Surface-Based Cutoff for Quantum Field Vacuum Energy
A Holographic Solution to the Vacuum Catastrophe: An Entropic Surface-Based Cutoff for Quantum Field Vacuum Energy Open
The vacuum energy predicted by quantum field theory (QFT) differs by approximately 122 orders of magnitude from the observed value inferred from cosmological data. This discrepancy is known as the vacuum catastrophe. In this work, we demon…
View article: A Holographic Solution to the Vacuum Catastrophe: An Entropic Surface-Based Cutoff for Quantum Field Vacuum Energy
A Holographic Solution to the Vacuum Catastrophe: An Entropic Surface-Based Cutoff for Quantum Field Vacuum Energy Open
The vacuum energy predicted by quantum field theory (QFT) differs by approximately 122 orders of magnitude from the observed value inferred from cosmological data. This discrepancy is known as the vacuum catastrophe. In this work, we demon…
View article: A Holographic Solution to the Vacuum Catastrophe: An Entropic Surface-Based Cutoff for Quantum Field Vacuum Energy
A Holographic Solution to the Vacuum Catastrophe: An Entropic Surface-Based Cutoff for Quantum Field Vacuum Energy Open
The vacuum energy predicted by quantum field theory (QFT) differs by approximately 122 orders of magnitude from the observed value inferred from cosmological data. This discrepancy is known as the vacuum catastrophe. In this work, we demon…
View article: Harmonizing Program Induction with Rate-Distortion Theory
Harmonizing Program Induction with Rate-Distortion Theory Open
Many aspects of human learning have been proposed as a process of constructing mental programs: from acquiring symbolic number representations to intuitive theories about the world. In parallel, there is a long-tradition of using informati…
View article: Quantum bistability in the hyperfine ground state of atoms
Quantum bistability in the hyperfine ground state of atoms Open
First-order phase transitions are ubiquitous in nature; however, this notion is ambiguous and highly debated in the case of open quantum systems. We construct a paradigmatic example which allows for elucidating the key concepts. We show th…
View article: Resolved Kennicutt–Schmidt law in two strongly lensed star-forming galaxies at redshift 1
Resolved Kennicutt–Schmidt law in two strongly lensed star-forming galaxies at redshift 1 Open
We study the star formation rate (SFR) vs. molecular gas mass ( M mol ) scaling relation from hundreds to thousands of parsec in two strongly lensed galaxies at redshift z ∼ 1, the Cosmic Snake and A521. We trace the SFR using extinction-c…
View article: Quantum bistability in the hyperfine ground state of atoms
Quantum bistability in the hyperfine ground state of atoms Open
First order phase transitions are ubiquitous in nature, however, this notion is ambiguous and highly debated in the case of quantum systems out of thermal equilibrium. We construct a paradigmatic example which allows for elucidating the ke…
View article: Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals Open
Humans can learn several tasks in succession with minimal mutual interference but perform more poorly when trained on multiple tasks at once. The opposite is true for standard deep neural networks. Here, we propose novel computational cons…
View article: Molecular gas cloud properties at $z\simeq 1$ revealed by the superb angular resolution achieved with ALMA and gravitational lensing
Molecular gas cloud properties at $z\simeq 1$ revealed by the superb angular resolution achieved with ALMA and gravitational lensing Open
Current observations favour that the massive ultraviolet-bright clumps with a median stellar mass of $\sim 10^7~M_{\odot}$, ubiquitously observed in $z\sim 1-3$ galaxies, are star-forming regions formed in-situ in galaxies. It has been pro…
View article: Tracking the contribution of inductive bias to individualised internal models
Tracking the contribution of inductive bias to individualised internal models Open
Internal models capture the regularities of the environment and are central to understanding how humans adapt to environmental statistics. In general, the correct internal model is unknown to observers, instead they rely on an approximate …
View article: Time-resolved observation of a dynamical phase transition with atoms in a cavity
Time-resolved observation of a dynamical phase transition with atoms in a cavity Open
The transparence of a laser-driven optical resonator containing an ensemble\nof cold atoms can have two distinct, robust states. Atoms in their initially\nprepared pure state blockade the transmission by detuning the cavity mode from\nthe …
View article: Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals Open
Humans can learn several tasks in succession with minimal mutual interference but perform more poorly when trained on multiple tasks at once. The opposite is true for standard deep neural networks. Here, we propose novel computational cons…
View article: Tracking the contribution of inductive bias to individualized internal models -- experimental data
Tracking the contribution of inductive bias to individualized internal models -- experimental data Open
Code for inference for internal models can be found at https://github.com/mzperix/asrt-beamsampling
View article: Collective self-trapping of atoms in a cavity
Collective self-trapping of atoms in a cavity Open
We study experimentally the optical dipole trapping of a cloud of cold atoms in a high-finesse cavity in the parameter regime where the atomic back-action on the cavity mode is significant. Back-action based effects lead to state selective…
View article: Graph approximation on similarity based rough sets
Graph approximation on similarity based rough sets Open
Correlation clustering is a widely used technique in data mining. The clusters contain objects, which are typically similar to one another and different from objects from other groups. In the authors previous works the possible usage of co…
View article: Tracking the contribution of inductive bias to individualized internal models
Tracking the contribution of inductive bias to individualized internal models Open
Internal models capture the regularities of the environment and are central to understanding how humans adapt to environmental statistics. In general, the correct internal model is unknown to observers, instead approximate and transient on…
View article: Optimal forgetting: Semantic compression of episodic memories
Optimal forgetting: Semantic compression of episodic memories Open
It has extensively been documented that human memory exhibits a wide range of systematic distortions, which have been associated with resource constraints. Resource constraints on memory can be formalised in the normative framework of loss…
View article: Variational Autoencoder account of the early visual hierarchy
Variational Autoencoder account of the early visual hierarchy Open
Visual perception is the process of making inferences about latent variables in the environment based on observa-tions. There is strong neural and behavioral support that the cortical implementation of this process is hierarchicaland also …
View article: Selecting representatives
Selecting representatives Open
We use representatives to reduce complexity in many areas of life.Clusters are often replaced with their centre, and then these representatives are used to classify new objects.If the objects are described as a vector of real numbers, then…
View article: Finding the representative in a cluster using correlation clustering
Finding the representative in a cluster using correlation clustering Open
Correlation clustering is a widely used technique in data mining. The clusters contain objects, which are typically similar to each other and different from objects from other groups. It can be an interesting task to find the member, which…