Prépublication
· 2026 arXiv
EN
We investigate the impact of applying the uninformative Jeffreys prior in a re-analysis of DESI DR2 BAO, Planck 2018 CMB, and Type Ia Supernovae (DES-SN5YR, DES-Dovekie, Pantheon+, Union3). We incorporate this prior into new posterior inference and evidence ca...
Joshua Layton, Alex Hall et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Stacking is the standard route to signal-to-noise in cluster weak lensing, but it destroys the cluster-by-cluster information that scaling-relation studies need. We instead fit every cluster's individual $ΔΣ$ profile simultaneously, tying its mass and concentr...
André Z. Vitorelli, Eduardo S. Cypriano
#astro-ph.CO
Document numérisé
· 1517 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1517. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1550 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1550. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Prépublication
· 2026 arXiv
EN
Pixel-space diffusion models have recently re-emerged as a compelling alternative to latent diffusion, avoiding the lossy latent bottleneck and separately trained autoencoder. JiT shows that a vanilla diffusion transformer can generate directly in pixel space...
Soumik Mukhopadhyay, Long Mai et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Fine-tuning large language models (LLMs) can induce behaviors beyond those explicitly targeted. For example, training a model to respond more warmly can make it more sycophantic, and training it to write insecure code can cause broad misalignment on prompts un...
Dongyoon Hahm, Woogyeol Jin et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Self-driving laboratories (SDLs) accelerate scientific discovery by automating experimental execution and optimization. AI agents can increasingly propose new experiments, but existing SDLs can only run the procedures they were built for. Adapting them to a ne...
Jiaru Bai, Yuchi Zhao et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Recent large audio language models (LALMs) have extended their capabilities beyond lexical speech understanding to tasks requiring paralinguistic and non-linguistic audio understanding, such as emotion recognition. However, these models still struggle to relia...
Koki Ryu, Hitomi Yanaka
#cs.SD
Prépublication
· 2026 arXiv
EN
Galaxy-galaxy lensing (GGL) is a critical probe of cosmology and galaxy formation. However, predicted GGL amplitudes tend to be $\sim 20-40\%$ higher than observations, primarily on small scales, a tension called the lensing-is-low problem. If not resolved thr...
Kimiko Queen, Abigail V. Fisher et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
The evidence, $\mathcal{Z} = p(x | \mathcal{M})$, of a data-generating model $\mathcal{M}$ is a powerful tool in Bayesian frameworks: it enables model inference, model misspecification tests, and goodness-of-fit assessment as an alternative to standard discrep...
Kai Lehman, Jameson Dong et al.
#stat.ML
Prépublication
· 2026 arXiv
EN
Many of the most important datasets in the physical sciences live natively on the sphere, and these data often carry no preferred position or orientation. Using methods that do not reflect this symmetry leads to far higher simulation requirements, which can be...
Joshua Williamson, Niall Jeffrey et al.
#stat.ML
Prépublication
· 2026 arXiv
EN
It has been argued that the inverse distance ladder disfavours late-time solutions to the Hubble tension. We test this with a cosmographic expansion where $H$ is a fourth-order polynomial in $1 - a$. We combine the uncalibrated DES-Dovekie SNIa with DESI~DR2 B...
José Antonio Nájera, Indranil Banik et al.
#astro-ph.CO