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Showing 205 results for "grenoble" · Preprint
AI & Data Science Preprint PDF DOI

SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation

Guiyu Zhang, Yabo Chen, Xunzhi Xiang, Junchao Huang, Zhongyu Wang, Li Jiang · 2026

Controlling both camera motion and object dynamics is essential for coherent and expressive video generation, yet current methods typically handle only one motion type or rely on ambiguous 2D cues tha…

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Physics Preprint PDF DOI

First $^{94}$Nb($n,\gamma$) Measurement: Constraining the Nucleosynthetic Origin of $^{94}$Mo in Presolar Grains

J. Balibrea-Correa, J. Lerendegui-Marco, C. Domingo-Pardo, V. Babiano-Suarez, I. Ladarescu, M. Krtivcka, G. Cescutti, S. Cristallo, D. Vescovi, N. Liu, E. A. Maugeri, U. Koster, I. Monch, A. Casanovas, V. Alcayne, D. Cano-Ott, E. Mendoza, O. Aberle, J. Andrzejewski, S. Altieri, S. Amaducci, M. Bacak, C. Beltrami, S. Bennett, A. P. Bernardes, E. Berthoumieux, R. Beyer, M. Boromiza, D. Bosnar, M. Caamano, F. Calvino, M. Calviani, D. M. Castelluccio, F. Cerutti, S. Chasapoglou, E. Chiaveri, P. Colombetti, N. Colonna, P. Console Camprini, G. Cortes, M. A. Cortes-Giraldo, L. Cosentino, S. F. Dellmann, M. Diakaki, M. Di Castro, M. Dietz, S. Di Maria, R. Dressler, E. Dupont, I. Duran, Z. Eleme, S. Fargier, B. Fernandez, B. Fernandez-Dominguez, P. Finocchiaro, S. Fiore, V. Furman, F. Garcia-Infantes, A. Gawlik-Ramikega, G. Gervino, S. Gilardoni, E. Gonzalez-Romero, C. Guerrero, F. Gunsing, C. Gustavino, J. Heyse, W. Hillman, D. G. Jenkins, E. Jericha, A. Junghans, Y. Kadi, K. Kaperoni, G. Kaur, A. Kimura, I. Knapova, M. Kokkoris, Y. Kopatch, N. Kyritsis, C. Lederer-Woods, G. Lerner, A. Manna, T. Martinez, A. Masi, C. Massimi, P. Mastinu, M. Mastromarco, A. Mazzone, A. Mengoni, V. Michalopoulou, P. M. Milazzo, R. Mucciola, F. Murtas, E. Musacchio Gonzalez, A. Musumarra, A. Negret, N. Patronis, J. A. Pavon, M. G. Pellegriti, P. Perez-Maroto, A. Perez de Rada Fiol, J. Perkowski, C. Petrone, E. Pirovano, J. Plaza del Olmo, S. Pomp, I. Porras, J. Praena, J. M. Quesada, R. Reifarth, D. Rochman, Y. Romanets, C. Rubbia, A. Sanchez-Caballero, M. Sabate-Gilarte, P. Schillebeeckx, D. Schumann, A. Sekhar, A. G. Smith, N. V. Sosnin, M. E. Stamati, A. Sturniolo, G. Tagliente, A. Tarifenoo-Saldivia, D. Tarrio, P. Torres-Sanchez, S. Urlass, E. Vagena, S. Valenta, V. Variale, P. Vaz, G. Vecchio, V. Vlachoudis, R. Vlastou, A. Wallner, P. J. Woods, T. Wright, R. Zarrella, P. Zugec, The n_TOF Collaboration · 2026

Isotopic measurements of presolar silicon carbide grains from dying stars have revealed a puzzling overabundance of $^{94}$Mo that stellar nucleosynthesis models have failed to reproduce for two decad…

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Engineering Preprint PDF DOI

How is remifentanil dosed without dedicated indicator?

Bob Aubouin-Pairault (LAMIH), Mazen Alamir (GIPSA-MODUS, CNRS), Benjamin Meyer (CHUGA), Remi Wolf (UGA UFRM), Kaouther Moussa (LAMIH) · 2025

This study investigates the paradigm of intraoperative analgesic dosage using a data-driven approach based on retrospective clinical data. Remifentanil, an analgesic widely used during anesthesia, pre…

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Mathematics Preprint PDF DOI

On the analogue of Esperet's conjecture: Characterizing hereditary classes

N. Rahimi, D.A. Mojdeh · 2025

In the paper [J. Graph Theory (2023) 102:458-471, the Esperet's conjecture has been posed: Every $\chi$-bounded hereditary class is poly-$\chi$-bounded]. This conjecture was first posed in [Habilitati…

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Physics Preprint PDF DOI

Characterization of mini-CryoCube detectors from the Ricochet experiment commissioning at the Institut Laue-Langevin

Antoine Armatol, Corinne Augier, Louis Bailly-Salins, Guillaume Baulieu, Laurent Berge, Julien Billard, Juliette Ble, Guillaume Bres, Jean-Louis Bret, Alexandre Broniatowski, Martino Calvo, Antonella Cavanna, Antoine Cazes, Emanuela Celi, David Chaize, Mohammed Chala, Maurice Chappellier, Luke Chaplinsky, Guillaume Chemin, Ran Chen, Jules Colas, Laurent Couraud, Elspeth Cudmore, Maryvonne De Jesus, Nicole Dombrowski, Louis Dumoulin, Alan Durnez, Olivier Exshaw, Sylvain Ferriol, Enectali Figueroa-Feliciano, Joseph A. Formaggio, Stephane Fuard, Jules Gascon, Andrea Giuliani, Corinne Goy, Cyrille Guerin, Elsa Guy, Leila Haegel, Scott A. Hertel, Christophe Hoarau, Ziqing Hong, Jean-Christophe Ianigro, Yong Jin, Alexandre Juillard, Temirlan Khussainov, Andrew Kubik, Jacob Lamblin, Hugues Lattaud, Tatiana Le-Bellec, Laetitia Leroy, Mingyu Li, Alexey Lubashevskiy, Stefanos Marnieros, Nicolas Martini, Julien Minet, Alessandro Monfardini, Franck Mounier, Valentina Novati, Emiliano Olivieri, Pratyush K. Patel, Eric Perbet, Harold Douglas Pinckney, Denys V. Poda, Dmitrii Ponomarev, Wouter Van De Pontseele, Jean-Sebastien Real, Faith C. Reyes, Alejandro Rodriguez, Murielle Rousseau, Sergey Rozov, Irina Rozova, Brianna Ryan, Deeksha Sabhari, Silvia Scorza, Renaud Serra, Yegor Shevchik, Torsten Soldner, Anne Stutz, Christian Ulysse, Lionel Vagneron, Sergey Vasilyev, Francis Vezzu, Paul Vittaz, Evgeny Yakushev, Jiatong Yang, Daniya Zinatulina · 2025

The Ricochet experiment aims to measure the coherent elastic neutrino-nucleus scattering process from antineutrinos emitted by a research nuclear reactor operated by the Institut Laue-Langevin (Grenob…

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AI & Data Science Preprint PDF DOI

Proteus-ID: ID-Consistent and Motion-Coherent Video Customization

Guiyu Zhang, Chen Shi, Zijian Jiang, Xunzhi Xiang, Jingjing Qian, Shaoshuai Shi, Li Jiang · 2025

Video identity customization seeks to synthesize realistic, temporally coherent videos of a specific subject, given a single reference image and a text prompt. This task presents two core challenges: …

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Engineering Preprint PDF DOI

Evaluation methodology of Model Predictive Controllers for building's energy systems

Ali Chouman (UGA, CSTB), Peter Riederer (CSTB), Frederic Wurtz (UGA) · 2025

Climate change poses a serious threat to the Earth's ecosystems, fueled primarily by escalating greenhouse gas emissions. Among the main contributors, the building sector stands out due to its signifi…

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Physics Preprint PDF DOI

Fundamentals of heterodyne wave mixing spectroscopy: a tutorial

Daniel Groll, Thilo Hahn, Pawe{l} Machnikowski, Tilmann Kuhn, Jacek Kasprzak, Daniel Wigger · 2025

This tutorial provides a joint theoretical and experimental overview of heterodyne wave mixing spectroscopy, focusing mainly on four-wave mixing (FWM). This powerful and versatile time-resolved nonlin…

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AI & Data Science Preprint PDF DOI

Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm

Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem · 2025

Out-of-distribution (OoD) inputs pose a persistent challenge to deep learning models, often triggering overconfident predictions on non-target objects. While prior work has primarily focused on refini…

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AI & Data Science Preprint PDF DOI

Debiasing physico-chemical models in air quality monitoring by combining different pollutant concentration measures

Benjamin Auder (LMO), Camille Coron (MIA Paris-Saclay), Jean-Michel Poggi (LMO, IUT Paris - Rives de Seine), Emma Thulliez (LMI) · 2025

Air quality monitoring requires to produce accurate estimation of nitrogen dioxide or fine particulate matter concentration maps, at different moments. A typical strategy is to combine different types…

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Physics Preprint PDF DOI

Experimental tests of the calibration of high precision differential astrometry for exoplanets

Manon Lizzana (IPAG, CNES), Fabien Malbet (IPAG), Pierre Kern (IPAG), Fabrice Pancher (IPAG), Sebastien Soler (IPAG), Thierry Lepine, Alain Leger · 2024

High precision differential Astrometry is the branch of astronomy that evaluates the relative position, distance and motion of celestial objects with respect to the stars present in the field of view.…

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Physics Preprint PDF DOI

Evidence of the existence of the six-quark component of the deuteron in the energy spectra of photons emitted in proton-deuteron collisions

A.S.Khrykin · 2024

We present evidence of the existence of the six-quark component of the deuteron ($d_{6q}$) found in the experimental photon energy spectra of the proton deuteron bremsstrahlung measured at the proton …

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AI & Data Science Preprint PDF DOI

Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling

Guiyu Zhang, Huan-ang Gao, Zijian Jiang, Hao Zhao, Zhedong Zheng · 2024

In this paper, we focus on the task of conditional image generation, where an image is synthesized according to user instructions. The critical challenge underpinning this task is ensuring both the fi…

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Physics Preprint PDF DOI

Action Research in Astronomy and Ecology: The observatory of the night environment in Grenoble

Julien Milli, Merlin Boribon, Fabien Malbet, Philippe Deverchere, Benjamin Drillat, Baptiste Falque, Francois Colas · 2024

We present an example of low-carbon research activity carried out by astrophysicists and focused on ecology and environmental protection, with direct impacts on territories and society. This project s…

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Computer Science Preprint PDF DOI

Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction

Oytun Demirbilek, Tingying Peng, Alaa Bessadok · 2024

A morphological brain graph depicting a connectional fingerprint is of paramount importance for charting brain dysconnectivity patterns. Such data often has missing observations due to various reasons…

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Medicine & Health Preprint PDF DOI

First Pilot Tests of Compton Imaging and Boron Concentration Measurements in BNCT Using i-TED

J. Lerendegui-Marco, J. Balibrea-Correa, P. Alvarez-Rodriguez, V. Babiano-Suarez, B. Gameiro, I. Ladarescu, C. Mendez-Malagon, C. Michelagnoli, I. Porras, M. Porras-Quesada, C. Ruiz-Ruiz, P. Torres-Sanchez, C. Domingo-Pardo · 2024

Dosimetry in BNCT poses significant challenges due to the indirect effect of neutrons interacting with elements within the body and uncertainties associated with the uptake of boron compounds used in …

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AI & Data Science Preprint PDF DOI

Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potential

Ian Hough, Loic Argentier, Ziyang Jiang, Tongshu Zheng, Mike Bergin, David Carlson, Jean-Luc Jaffrezo, Jocelyn Chanussot, Gaelle Uzu · 2024

Oxidative potential (OP), which measures particulate matter's (PM) capacity to induce oxidative stress in the lungs, is increasingly recognized as an indicator of PM toxicity. Since OP is not routinel…

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AI & Data Science Preprint PDF DOI

On the Fourier analysis in the SO(3) space : EquiLoPO Network

Dmitrii Zhemchuzhnikov, Sergei Grudinin · 2024

Analyzing volumetric data with rotational invariance or equivariance is an active topic in current research. Existing deep-learning approaches utilize either group convolutional networks limited to di…

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Sociology & Anthropology Preprint PDF DOI

PREDIS-MHI Thermal Data

Seun Osonuga (G2Elab-MAGE, G2ELab), Ali Chouman (G2ELab, CSTB), Muhammad-Salman Shahid (G2ELab), Benoit Delinchant (G2ELab), Frederic Wurtz (G2ELab) · 2024

Tertiary buildings could be an important lever to meet the goals necessitated by the energy transition. The availability of high-quality datasets from this sector will be a crucial enabler in meeting …

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AI & Data Science Preprint PDF DOI

ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D

Dmitrii Zhemchuzhnikov, Sergei Grudinin · 2024

Effective recognition of spatial patterns and learning their hierarchy is crucial in modern spatial data analysis. Volumetric data applications seek techniques ensuring invariance not only to shifts b…

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