332 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École Normale Supérieure Paris-SaclayFR60 papers
- École Normale Supérieure - PSLFR47 papers
- Centre National de la Recherche ScientifiqueFR38 papers
- Université Paris-SaclayFR31 papers
- CentraleSupélecFR9 papers
- Laboratoire Méthodes FormellesFR8 papers
- Centre BorelliFR7 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- Laboratoire de Mécanique Paris-SaclayFR5 papers
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR5 papers
- University of CambridgeGB5 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
78 papers
Phy2-ExposNet: A Physics-Informed Neural Network for EMF Exposure Mapping in Complex Urban Environments
Shuangning Li, Yarui Zhang, Shanshan Wang +1
Accurate electromagnetic field (EMF) exposure mapping is critical for wireless network planning, environmental monitoring, and the deployment of next generation communication syste…
Budgeted Online Influence Maximization
Pierre Perrault, Jennifer Healey, Zheng Wen +1
We introduce a new budgeted framework for online influence maximization, considering the total cost of an advertising campaign instead of the common cardinality constraint on a cho…
Efficient Quantum Simulation of Non-Adiabatic Molecular Dynamics with Precise Electronic Structure
Tianyi Li, Yumeng Zeng, Qiming Ding +6
In the study of non-adiabatic chemical processes such as photocatalysis and photosynthesis, non-adiabatic molecular dynamics (NAMD) is an indispensable theoretical tool, which requ…
Exponential convergence dynamics in Grover's search algorithm
Samuel Cogan, Jonathan Raghoonanan, Tim Byrnes
Grover's search algorithm is the cornerstone of many applications of quantum computing, providing a quadratic speed-up over classical methods. One limitation of the algorithm is th…
Space-time reversible graph rewriting
Pablo Arrighi, Marin Costes, Luidnel Maignan
In the mathematical tradition, reversibility requires that the evolution of a dynamical system be a bijective function. In the context of graph rewriting, however, the evolution is…
Deep Generative Methods and Tire Architecture Design
Fouad Oubari, Raphael Meunier, Rodrigue Décatoire +1
As deep generative models proliferate across the AI landscape, industrial practitioners still face critical yet unanswered questions about which deep generative models best suit co…
Quantum Petri Nets with Event Structures semantics
Julien Saan Joachim, Marc de Visme, Stefan Haar
Classical Petri nets provide a canonical model of concurrency, with unfolding semantics linking nets, occurrence nets, and event structures. No comparable framework exists for quan…
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
Zhuofan Xu, Benedikt Bollig, Matthias Függer +2
The Centralized Training with Decentralized Execution (CTDE) paradigm has gained significant attention in multi-agent reinforcement learning (MARL) and is the foundation of many re…
Prime Ideal Races With Several Competitors
A Bailleul, M Hayani
We investigate races among prime ideals in number fields when there are two or more competing conjugacy classes. In their work [4], Fiorilli and Jouve studied two-way races in numb…
A Unifying Framework for Global Optimization: From Theory to Formalization
Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis
We introduce an abstract measure___theoretic framework that serves as a tool to rigorously study stochastic iterative global optimization algorithms as a unified class. The framewo…
Fast 3D Diffusion for Scalable Granular Media Synthesis
Muhammad Moeeze Hassan, Régis Cottereau, Filippo Gatti +1
Discrete Element Method (DEM) simulations of granular media are computationally intensive, particularly during initialization phases dominated by large displacements and kinetic en…
Breaking the Black Box: Inherently Interpretable Physics-Constrained Machine Learning With Weighted Mixed-Effects for Imbalanced Seismic Data
Vemula Sreenath, Filippo Gatti, Pierre Jehel
Ground motion models (GMMs) are critical for seismic risk mitigation and infrastructure design. Machine learning (ML) is increasingly applied to GMM development due to expanding st…
Unraveling the non-equilibrium chemistry of the temperate sub-Neptune K2-18 b
A. Y. Jaziri, O. Sohier, O. Venot +1
The search for habitable, Earth-like exoplanets faces major observational challenges due to their small size and faint signals. M-dwarf stars offer a promising avenue to detect and…
AdapTT: Functoriality for Dependent Type Casts
Arthur Adjedj, Meven Lennon-Bertrand, Thibaut Benjamin +1
The ability to cast values between related types is a leitmotiv of many flavors of dependent type theory, such as observational type theories, subtyping, or cast calculi for gradua…
Multi-Component VAE with Gaussian Markov Random Field
Fouad Oubari, Mohamed El-Baha, Raphael Meunier +2
Multi-component datasets with intricate dependencies, like industrial assemblies or multi-modal imaging, challenge current generative modeling techniques. Existing Multi-component…
Uncovering Social Network Activity Using Joint User and Topic Interaction
Gaspard Abel, Argyris Kalogeratos, Jean-Pierre Nadal +1
The emergence of online social platforms, such as social networks and social media, has drastically affected the way people apprehend the information flows to which they are expose…
Physics-based super-resolved simulation of 3D elastic wave propagation adopting scalable Diffusion Transformer
Hugo Gabrielidis, Filippo Gatti, Stéphane Vialle
In this study, we develop a Diffusion Transformer (referred as to DiT1D) for synthesizing realistic earthquake time histories. The DiT1D generates realistic broadband accelerograms…
Near complete laser-induced modulation of the ferromagnetic-antiferromagnetic phase fraction in FeRh films
Alexis Pecheux, Robin Salvatore, Laura Thevenard +6
With its huge entropy change and a strong interplay between magnetic order, structural and electrical properties, the first-order antiferromagnetic/ferromagnetic phase transition i…
Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response
Niccolò Perrone, Fanny Lehmann, Hugo Gabrielidis +2
Nuclear reactor buildings must be designed to withstand the dynamic load induced by strong ground motion earthquakes. For this reason, their structural behavior must be assessed in…
Amplification of numerical wave packets for transport equations with two boundaries
Romain Bonnet-Eymard, Jean-François Coulombel, Grégory Faye
The purpose of this note is to investigate the coupling of Dirichlet and Neumann numerical boundary conditions for the transport equation set on an interval. When one starts with a…
Investigating the formation and growth of Titan's atmospheric aerosols using an experimental approach
Zoé Perrin, Nathalie Carrasco, Thomas Gautier +4
Titan has a climate system with similarities to Earth, including the presence of a thick atmosphere made up of several atmospheric layers. As on Earth, Titan's climate is influence…
Wavefront shaping enhanced nano-optomechanics down to the quantum precision limit
Alexandros G. Tavernarakis, Rodrigo Gutiérrez-Cuevas, Loïc Rondin +3
We introduce wavefront shaping as a tool for optimizing the sensitivity in nano-optomechanical measurement schemes. We perform multimode output analysis of an optomechanical system…
On Scaling Neurosymbolic Programming through Guided Logical Inference
Thomas Jean-Michel Valentin, Luisa Sophie Werner, Pierre Genevès +1
Probabilistic neurosymbolic learning seeks to integrate neural networks with symbolic programming. Many state-of-the-art systems rely on a reduction to the Probabilistic Weighted M…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…