Tootfinder

How Ukraine’s Data-Driven Approach is Impacting the War Effort: https://benborges.xyz/2025/10/20/how-ukraines-datadriven-approach-is.html

Detection of young massive white dwarfs in core-collapsed globular cluster NGC 362
R. K. S. Yadav, Arvind K. Dattatrey, Annapurni Subramaniam, Geeta Rangwal, Ravi S. Singh
https://arxiv.org/abs/2508.12337

Detection of young massive white dwarfs in core-collapsed globular cluster NGC 362
Core-collapsed globular clusters are ideal targets to explore the presence of stellar collision products. Here, we have studied seventeen FUV bright white dwarf members in the globular cluster NGC 362 using data obtained from the Ultra Violet Imaging Telescope (UVIT) mounted on AstroSat and from HST. Multi-wavelength spectral energy distributions (SEDs) are analyzed using UV and optical data sets to characterize and determine the parameters of white dwarfs. Fourteen of the white dwarfs fit sing…

Na loucura corremos atršs do prejuízo
Fazemos tudo menos aquilo que é preciso
A ditadura jš esteve mais longe e hš aviso
Deixa tar, logo se vê, o tuga é de improviso
#MusicaPortuguesa

Strudel's audio engine is SuperDough (2023) mostly by @…, which is based on SuperDirt (2015) mostly by @…, which is based on 'dirt' a sampler made by me and originally called 'datadirt' (2005), but very heavily based on MSG (2…

🇺🇦 #NowPlaying on KEXP's #90TEEN
pasteboard:
🎵 starcharts
#pasteboard
https://7thheavenrecordings.bandcamp.com/track/starcharts-2
https://open.spotify.com/track/2GTPcID1DIda8t5TeRVUOf

Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
Neeraj Gangwar, Anshuka Rangi, Rishabh Deshmukh, Holakou Rahmanian, Yesh Dattatreya, Nickvash Kani
https://arxiv.org/abs/2509.19602

Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
Parameter-efficient fine-tuning methods have emerged as a promising solution for adapting pre-trained models to various downstream tasks. While these methods perform well in single-task learning, extending them to multi-task learning exacerbates common challenges, such as task interference and negative transfer, due to the limited number of trainable parameters. To address these issues, we introduce progressive task-specific multi-task adaptation, a novel parameter-efficient approach for multi-…

Unveiling Dynamics and Variability in Open Clusters: Insights from a Comprehensive Analysis of Six Galactic Clusters
Kuldeep Belwal, D. Bisht, Ing-Guey Jiang, R. K. S. Yadav, Ashish Raj, Geeta Rangwal, Arvind K. Dattatrey, Mohit Singh Bisht, Alok Durgapal
https://arxiv.org/abs/2510.02462

Unveiling Dynamics and Variability in Open Clusters: Insights from a Comprehensive Analysis of Six Galactic Clusters
We present a kinematic and dynamical analysis of six Galactic open clusters NGC~2204, NGC~2660, NGC~2262, Czernik~32, Pismis~18, and NGC~2437, using \textit{Gaia}~DR3. We used Bayesian and Gaussian Mixture Model (GMM) methods to identify cluster members, but chose GMM because it's more appropriate for low-mass stars. Estimated distances range from 1.76 to 4.20~kpc and ages from 0.199 to 1.95~Gyr, confirming their intermediate-age nature. King model fits indicate compact morphologies, with core …

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Hou, Thekumparampil, Shavlovsky, Fanti, Dattatreya, Sanghavi

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Hou, Thekumparampil, Shavlovsky, Fanti, Dattatreya, Sanghavi

🇺🇦 #NowPlaying on #BBC6Music's #GuyGarveysFinestHour
Alabama Shakes:
🎵 Sound & Color
#AlabamaShakes
https://deathtrapproductions.bandcamp.com/track/alabama-shakes-sound-color-deathscrewed
https://open.spotify.com/track/56sxpXFgha5NcJexZUPGXS