9.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR2.8k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR2.3k papers
- European Organization for Nuclear ResearchCH2.3k papers
- ETH ZurichCH2.2k papers
- Rutherford Appleton LaboratoryGB2.1k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT2.1k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT2.1k papers
- Imperial College LondonGB2.1k papers
- University of BristolGB2.1k papers
- University of Maryland, College ParkUS2.1k papers
- Massachusetts Institute of TechnologyUS2k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT2k papers
430 papers · 1 filter
Towards an agnostic algorithm for sampling empirical structure models: The case of Uranus and Neptune
Stefano Wirth, Luca Morf, Ravit Helled
We present an algorithm to efficiently sample the full space of planetary interior density profiles. Our approach uses as few assumptions as possible to pursue an agnostic algorith…
Dark matter direct detection: status, results and future plans
Laura Baudis
Direct dark matter detection experiments search for rare signals induced by hypothetical, galactic dark matter particles in low-background detectors operated deep underground. I wi…
ElfCore: A 28nm Neural Processor Enabling Dynamic Structured Sparse Training and Online Self-Supervised Learning with Activity-Dependent Weight Update
Zhe Su, Giacomo Indiveri
In this paper, we present ElfCore, a 28nm digital spiking neural network processor tailored for event-driven sensory signal processing. ElfCore is the first to efficiently integrat…
Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks
Jasmin Saxer, Isabella Maria Aigner, Luise Linzmeier +2
Text-to-SQL systems allow non-SQL experts to interact with relational databases using natural language. However, their tendency to generate executable SQL for ambiguous, out-of-sco…
Characterisation of the Bedretto Underground Site for Fundamental Physics Experiments
Björn Penning, Nicolas Angelides, Laura Baudis +33
Underground laboratories provide the ultra-low background and low-vibration environments essential for rare-event searches, gravitational-wave detection, and quantum-sensing techno…
Altered oscillatory brain networks during emotional face processing in ADHD: an eLORETA and functional ICA study
Saghar Vosough, Gian Candrian, Johannes Kasper +4
Attention-deficit/hyperactivity disorder (ADHD) is characterized by executive dysfunction and difficulties in processing emotional facial expressions, yet the large-scale neural dy…
Towards measuring astrophysical third order correlation functions with the H.E.S.S. optical intensity interferometer
Andreas Zmija, Gisela Anton, Christopher Ingenhuett +7
The closure phase, the sum of the three Fourier phases in a telescope triangle, is an important tool in astronomical interferometry, helping to reconstruct the geometries of the ob…
Euclid preparation. Review of forecast constraints on dark energy and modified gravity
Euclid Collaboration, N. Frusciante, M. Martinelli +326
The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data
Euclid Collaboration, N. E. P. Lines, T. E. Collett +301
In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…
Further constraints on Jupiter's primordial structure
Henrik Knierim, Konstantin Batygin, Ravit Helled +2
The primordial structure of Jupiter remains uncertain, yet it holds vital clues on the planet's formation and early evolution. Recent work used dynamical constraints from Jupiter's…
The suppression of the matter power spectrum: strong feedback from X-ray gas mass fractions, kSZ effect profiles, and galaxy-galaxy lensing
Jared Siegel, Leah Bigwood, Alexandra Amon +6
Baryon feedback redistributes gas relative to the underlying dark matter distribution and suppresses the matter power spectrum on small scales, but the amplitude and scale dependen…
Stellar chemistry and planet size: insights from GALAH DR4
N. Sussholz, S. Zucker, R. Helled +1
The well-known correlation between stellar metallicity and planet occurrence is strongest for giant planets, but weaker for smaller planets, suggesting that detailed elemental patt…
Characterization of the quantum state of top quark pairs produced in proton-proton collisions at = 13 TeV using the beam and helicity bases
CMS Collaboration
Measurements of the spin correlation coefficients in the beam basis are presented for top quark-antiquark () systems produced in proton-proton collisions at $\sq…
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
Luca Janken, Steen Hannestad, Thomas Tram +1
Cosmological emulation of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra have become increasingly common in recent years because of the…
In search of truth: Evaluating concordance of AI-based anatomy segmentation models
Lena Giebeler, Deepa Krishnaswamy, David Clunie +9
Purpose AI-based methods for anatomy segmentation can help automate characterization of large imaging datasets. The growing number of similar in functionality models raises the cha…
Charged Higgs Pairs at the LHC: A NLO Analysis
Mohamed Ahmed, Lisa Biermann, Harald Ita +3
Charged Higgs-boson pair production at hadron colliders yields information about the trilinear couplings involving charged Higgs fields in extensions of the Standard Model (SM). We…
Search for heavy neutral leptons in B-meson decays
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1184
A search for long-lived heavy neutral leptons produced in B-meson decays and decaying to a final state is performed with data collected by the LHCb experiment in pro…
The spectrum of Feynman-integral geometries at two loops
Piotr Bargiela, Hjalte Frellesvig, Robin Marzucca +4
We provide a complete classification of the Feynman-integral geometries at two-loop order in four-dimensional Quantum Field Theory with standard quadratic propagators. Concretely,…
LitePT: Lighter Yet Stronger Point Transformer
Yuanwen Yue, Damien Robert, Jianyuan Wang +4
Modern neural architectures for 3D point cloud processing contain both convolutional layers and attention blocks, but the best way to assemble them remains unclear. We analyse the…
Comments on "Little ado about everything" by A. Lapi et al. and on cosmological back-reaction
Julian Adamek
In two papers, A. Lapi et al. introduce and discuss what they call the CDM model, a stochastic framework in which they claim that fluctuations in the density field at the scale…
Temporal Cascading of Planning and Control for Quadrotor MPC
Rudolf Reiter, Chao Qin, Leonard Bauersfeld +1
Many aerial tasks involving quadrotors demand both instant reactivity and long-horizon planning for obstacle avoidance, energy efficiency, or trajectory tracking. High-fidelity mod…
Measurement of the top-quark production cross-section and charge asymmetry at LHCb
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1173
The first measurements of the top- and antitop-quark differential production cross-sections and the top-quark charge asymmetry in the forward region are presented, using proton-pro…
Disperon QED
Yizhou Fang, Sophie Kollatzsch, Marco Rocco +3
We present disperon QED, a method to deal with data input in loop processes in Monte Carlo codes. It relies on dispersion relations, automated tools such as OpenLoops, effective fi…