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19922026
most citedAdam: A Method for Stochastic Optimization

83.4k citations

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157 papers · 1 filter

astro-ph.IM2026

Prototyping the Next-Generation Spectrograph for Space Exploration: Digital Micromirror Device-based Multi-Object Spectrograph (DMD-MOS) Calibration and Performance Assessment

Jiayi Emma Xu, Sarik Jeram, Shaojie Chen +7

Abandoning the traditional approaches to multi-object spectrographs, the Digital Micro-mirror Device-based Multi-Object Spectrograph (DMD-MOS) leverages a robust, elegant method fo…

astro-ph.EP2026

A Probabilistic Trajectory and Dispersion Study of Martian Tumbleweed Rover Swarms in Global Dust Storm Conditions

Emma-Catherine Belhadfa, Gabriele MT D'Eleuterio

Global Dust Storms (GDSs) dominate the Martian climate, yet the mechanisms of dust lifting, transport, and deposition remain poorly constrained because in situ observations are lim…

astro-ph.IM2026

PTED: A multi-dimensional two-sample test for scientific inference and generative machine learning

Connor Stone

Two-sample tests are widely applicable in inference and generative modelling, yet users frequently fall back on heuristics and visual inspection due to lack of an accessible test t…

astro-ph.EP2026

Upside down: GJ3090 b the first retrograde exoplanet around an M dwarf detected with NIRPS

Y. Carteret, V. Bourrier, L. Parc +57

The angle between stellar spin axis and planetary orbital plane can provide key insights into the formation and dynamical evolution of planetary systems. In particular, this measur…

cs.HC2026

Heating in human-HVAC interaction for smart homes: An interdisciplinary overview

Delong Korus-Du, Gunnar Stevens, Alexander Boden +6

As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather. However, research on how residents interact with HVAC system…

cs.CV2026

Spatiotemporal Flux Probing for Single-Photon Videography

Jerry Yan, Matteo Forlivesi, Bowen Tan +3

We address the problem of recovering high-speed videos from dynamic scenes under extreme photon sparsity. Existing methods rely on aggregating photon detections in local spatiotemp…