Publications associées à Complexité de Kolmogorov

On-Chip Fully Reconfigurable Artificial Neural Network in 16 nm FinFET for Positron Emission Tomography

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Smarty is a fully-reconfigurable on-chip feed-forward artificial neural network (ANN) with ten integrated time-to-digital converters (TDCs) designed in a 16 nm FinFET CMOS technology node. The integration of TDCs together with an ANN aims to reduce system ...

Piscataway2024

Inhalation of Microplastics—A Toxicological Complexity

Florian Frédéric Vincent Breider, Myriam Borgatta

Humans are chronically exposed to airborne microplastics (MPs) by inhalation. Various types of polymer particles have been detected in lung samples, which could pose a threat to human health. Inhalation toxicological studies are crucial for assessing the e ...

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Hybrid ground-state quantum algorithms based on neural Schrödinger forging

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Entanglement forging based variational algorithms leverage the bipartition of quantum systems for addressing ground-state problems. The primary limitation of these approaches lies in the exponential summation required over the numerous potential basis stat ...

Amer Physical Soc2024

Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study

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The quality of automatic transcription of heritage documents, whether from printed, manuscripts or audio sources, has a decisive impact on the ability to search and process historical texts. Although significant progress has been made in text recognition ( ...

The Association for Computational Linguistics2024

Smart acoustic lining for UHBR technologies engine: from the design of an electroacoustic metasurface to experimental characterization under flow

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Distributionally Robust Linear Quadratic Control

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Linear-Quadratic-Gaussian (LQG) control is a fundamental control paradigm that is studied in various fields such as engineering, computer science, economics, and neuroscience. It involves controlling a system with linear dynamics and imperfect observations ...

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The statistical complexity of early-stopped mirror descent

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Recently there has been a surge of interest in understanding implicit regularization properties of iterative gradient-based optimization algorithms. In this paper, we study the statistical guarantees on the excess risk achieved by early-stopped unconstrain ...

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Why computational complexity may set impenetrable barriers for epistemic reductionism

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According to physicalism, everything is physical or metaphysically connected to the physical. If physicalism were true, it seems that we should - in principle - be able to reduce the descriptions and explanations of special sciences to physical ones, for e ...

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Complexité de Kolmogorov

On-Chip Fully Reconfigurable Artificial Neural Network in 16 nm FinFET for Positron Emission Tomography

Inhalation of Microplastics—A Toxicological Complexity

Hybrid ground-state quantum algorithms based on neural Schrödinger forging

Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study

The Complexity of Checking Non-Emptiness in Symbolic Tree Automata

Smart acoustic lining for UHBR technologies engine: from the design of an electroacoustic metasurface to experimental characterization under flow

The Complexity of Satisfiability Checking for Symbolic Finite Automata

Distributionally Robust Linear Quadratic Control

The statistical complexity of early-stopped mirror descent

Why computational complexity may set impenetrable barriers for epistemic reductionism

Graph Chatbot

Chattez avec Graph Search

Inhalation of Microplastics—A Toxicological Complexity

The Complexity of Checking Non-Emptiness in Symbolic Tree Automata

Distributionally Robust Linear Quadratic Control

The Complexity of Satisfiability Checking for Symbolic Finite Automata

The statistical complexity of early-stopped mirror descent

Hybrid ground-state quantum algorithms based on neural Schrödinger forging

Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study

Smart acoustic lining for UHBR technologies engine: from the design of an electroacoustic metasurface to experimental characterization under flow

Why computational complexity may set impenetrable barriers for epistemic reductionism

On-Chip Fully Reconfigurable Artificial Neural Network in 16 nm FinFET for Positron Emission Tomography