Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR3.7k papers
- Rutherford Appleton LaboratoryGB2.8k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR2.7k papers
- University of Maryland, College ParkUS2.5k papers
- University of BristolGB2.4k papers
- Massachusetts Institute of TechnologyUS2.4k papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2.4k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT2.4k papers
- Princeton UniversityUS2.3k papers
- European Organization for Nuclear ResearchCH2.2k papers
- California Institute of TechnologyUS2.2k papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT2.1k papers
16,603 papers
A living catalog of stream interaction regions in the Parker Solar Probe era
R. C. Allen, G. C. Ho, L. K. Jian +15
Stream interaction regions (SIRs) and corotating interaction regions (CIRs) are important phenomena in heliospheric physics. These large-scale structures vary temporally and spatia…
IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving
Leandro Parada, Kevin Yu, Panagiotis Angeloudis
Achieving safety in autonomous driving through Multi-Agent Reinforcement Learning (MARL) is a critical yet challenging task due to non-stationarity, partial observability, and the…
ICASSP 2026 Radar Acoustic Speech Enhancement (RASE) Challenge
Zhi-Wei Tan, V. G. Reju, Ritesh C. Tewari +3
This paper presents the ICASSP 2026 Radar Acoustic Speech Enhancement (RASE) Grand Challenge, the first community challenge dedicated to benchmarking speech enhancement from millim…
Atoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical Engineering
Michael Baldea, Linda J. Broadbelt, Marianthi G. Ierapetritou +17
The rapid maturation of artificial intelligence (AI) and machine learning (ML) has catalyzed a profound shift in how chemical engineering problems are formulated, analyzed, and sol…
A Cryogenic Penning Trap Based on Permanent Magnets
F. Völksen, K. K. Anjum, R. P. Czampiel +30
We report on a Penning trap based on NdFeB permanent magnets operated at 4\,K with a magnetic field strength of 280\,mT. Reliable loading and confinement of protons, H ions,…
Euclid Quick Data Release (Q1) Euclid spectroscopy of quasars. 2. Physical properties from spectral fitting
Euclid Collaboration, J. Calhau, G. Calderone +312
A substantial volume of spectroscopic data has become available with the Euclid Data Release (Q1), which represents a unique opportunity to study quasars (QSOs) in the Euclid Deep…
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
Abigail Langbridge, Fearghal O'Donncha, James T Rayfield +1
Effective anomaly detection frameworks are a central pillar of the Industry 4.0 paradigm. In this paper, we introduce an Optimal Transport (OT)-based framework for anomaly detectio…
Machine Learning in Fish Farming
Fearghal O'Donncha, Nikos Papandroulakis, Jennie Korus +10
This chapter explores how machine learning (ML) is transforming aquaculture, with a particular focus on enhancing decision-making processes and improving operational efficiency. Th…
MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Computational recognition of verbal humour remains a challenging task, requiring an understanding of language, delivery style, emotions, and cultural context. Most existing approac…
FlavourBench: Executable Culinary Reward Maps for Language Model Evaluation and Post-Training
Josef Chen, Erim Hayretci
We introduce FlavorBench: a benchmark for Compiling Dense Deterministic Answer Maps from a Versioned Culinary Embeddings Model. We test 27 frontier large language model endpoints o…
Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models
Ashvin Gupta, Denys Prociuk, Alessandra Russo +1
Introduction: NICE guidelines provide evidence-based recommendations for clinical care but remain largely in unstructured natural language. Existing approaches to converting them i…
The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification
Olivier Bernard, William A. Romero R., Cyprien Bouton +24
Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…
Accelerating Performance Inference over Closed Systems by Asymptotic Methods
Giuliano Casale
Recent years have seen a rapid growth of interest in exploiting monitoring data collected from enterprise applications for automated management and performance analysis. In spite o…
Beyond capillary condensation: Shear-induced bridging transitions in patterned slits
Alexandr Malijevský, Andrew O. Parry, Jiří Janek
We study the equilibrium phase behavior of a fluid confined in a slit made from two patterned walls. Shearing the walls frustrates the fluid, due to a competition between capillary…
Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Optimization
Ruike Lyu, Hongye Guo, Goran Strbac +1
The intricate mixed-integer constraints in industrial load models not only pose challenges for their direct integration into economic dispatch or market clearing processes but also…
Philosophical vertigo with artificial intelligence
Thomas A. Pollak, Hamilton Morrin, Murray Shanahan
Large language models are already adept at engaging users in long, emotionally salient conversations across ordinary and existential domains. They are also capable of inducing a po…
Lossy Compression, Realism, and Coordination
Yassine Hamdi, Deniz Gündüz
Classical rate-distortion theory characterizes the fundamental limits of lossy compression under fidelity constraints, but minimizing distortion often yields perceptually unsatisfy…
Safe Observation Capacity for Opponent Exploitation under Showdown Censoring
Jiaxing Guo
In poker-like games, folds hide private cards, so showdown data are missing not at random: per-card estimates converge to behavior conditional on reveal, and shrinking confidence s…
Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory
Courtney D. Dressing, Danica Adams, Evelyne Alecian +324
The Habitable Worlds Observatory (HWO) is a future NASA flagship mission concept identified by the Astro2020 Decadal Survey as the highest priority for large space missions. HWO sh…
Robotic Fabric Alignment System for Sewing Using Global Local Weighted ICP
Wenbo Dong, Dipankar Bhattacharya Member, Kai Tang +5
Accurate fabric alignment is a critical step that must be performed before sewing. This paper presents a novel automated fabric alignment system. The system estimates the poses of…
The Weak Rank Principle: Lower Bounds and Applications
Michal Garl\'\ik, Svyatoslav Gryaznov, Hanlin Ren +1
Given two symbolic matrices and of dimensions and , the *weak rank principle* (WRank) states the equation is unsatisfiable when and ra…
Forbidden Region Dynamic Active Constraints in Robot-Assisted Minimally Invasive Surgery
Zejian Cui, Ferdinando Rodriguez y Baena
In robot-assisted surgery, Forbidden Region Active Constraints (FRAC) represent a control strategy that helps maintain task safety by generating anisotropic haptic guidance to surg…
The Fe I 4377 Å Line as a Solar Faculae Indicator: Insights from Spectral Ratio Analysis
Katlyn L. Hobbs, Christopher A. Watson, Jean C. Costes +21
Faculae are a dominant source of stellar activity noise in radial velocity measurements, yet their low contrast and broad surface distribution make them difficult to track in disc-…
VSTaI: Design and Characterization of Variable-Stiffness Tactile Interfaces Based on 3D-Printed Structured Fabrics
Yiting Mo, Xinyuan Mao, Jashan Preet Singh +1
Realistic palpation training requires reliable rendering of soft tissue stiffness changes in real time, which is difficult to achieve with conventional simulators. This paper prese…