output
19952026
most citedKISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way

513 citations

461 papers

stat.ML2026

LazyHMC: Hamiltonian Monte Carlo Simulation for Lazy, Infinite Dimensional Probabilistic Programs

Maria-Nicoleta Crăciun, C. -H. Luke Ong, Tom Schrijvers +1

Hamiltonian Monte Carlo (HMC) is a successful generic inference method in probabilistic programming, but in its ordinary formulation it needs gradients and finite-dimensional param…

astro-ph.HE2026

The SPOTLIGHT Pulsar Search Pipeline: A GPU-Accelerated FFT Approach

Jyotirmoy Das, Jayanta Roy, Nishant Pradeep Deo +20

We present the pulsar search component of SPOTLIGHT (Survey for sPoradic radiO bursTs via a commensaL multI-beam Gpu-powered Hpc at the gmrT), a GPU-accelerated commensal backend o…

astro-ph.EP2026

A parameterised approach to disequilibrium retrievals in the JWST era: Application to NIRCam observations of HD 189733b

Jake Taylor, Shang-Min Tsai, Vivien Parmentier +2

Atmospheric retrievals are a widely used technique for inferring the physical and chemical properties of exoplanetary atmospheres from observed spectra. A common simplifying assump…

astro-ph.GA2026

Reduced Effective Viscosity from Anisotropic Transport and Plasma Instabilities in the Sloshing Cores of Galaxy Clusters

John A. ZuHone, Stephen Majeski, Annie Heinrich +3

The G magnetic field in the intracluster medium (ICM) introduces a pressure anisotropy with respect to the magnetic field's direction that manifests as an anisotropic visco…

astro-ph.HE2026

The link between obscured accretion and mildly relativistic precessing jets

Rob Fender, Sara Motta

We have recently shown evidence that the most relativistic jets (with Lorentz factor >2) from stellar-mass black holes in X-ray binary systems may be locked to a fixed axis, likely…

cs.CL2026

What Do People Actually Want From AI? Mapping Preference Plurality

Julia Sepúlveda Coelho, Scott A. Hale

Large Language Models (LLMs) are often fine-tuned through Reinforcement Learning from Human Feedback (RLHF) to align with people's preferences and values. However, this method has…