Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/3]:
- Fraud detection in credit card transactions using Quantum-Assisted Restricted Boltzmann Machines
Jo\~ao Marcos Cavalcanti de Albuquerque Neto, Gustavo Castro do Amaral, Guilherme Penello Tempor\~ao
https://arxiv.org/abs/2512.17660 https://mastoxiv.page/@arXiv_quantph_bot/115762703945731580
- Vidarc: Embodied Video Diffusion Model for Closed-loop Control
Feng, Xiang, Mao, Tan, Zhang, Huang, Zheng, Liu, Su, Zhu
https://arxiv.org/abs/2512.17661 https://mastoxiv.page/@arXiv_csRO_bot/115762650859932523
- Imputation Uncertainty in Interpretable Machine Learning Methods
Pegah Golchian, Marvin N. Wright
https://arxiv.org/abs/2512.17689 https://mastoxiv.page/@arXiv_statML_bot/115762577479255577
- Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo ...
Shengdu Chai, Chen Lin, Xinyang Dong, Yuqiang Li, Wanli Ouyang, Lei Wang, X. C. Xie
https://arxiv.org/abs/2512.17703 https://mastoxiv.page/@arXiv_condmatstrel_bot/115762481116668454
- Breast Cancer Neoadjuvant Chemotherapy Treatment Response Prediction Using Aligned Longitudinal M...
Rahul Ravi, Ruizhe Li, Tarek Abdelfatah, Stephen Chan, Xin Chen
https://arxiv.org/abs/2512.17759 https://mastoxiv.page/@arXiv_eessIV_bot/115762481771898369
- MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Im...
Roy, Kirchhoff, Ulrich, Rokuss, Wald, Isensee, Maier-Hein
https://arxiv.org/abs/2512.17774 https://mastoxiv.page/@arXiv_eessIV_bot/115762492258209812
- Domain-Aware Quantum Circuit for QML
Gurinder Singh, Thaddeus Pellegrini, Kenneth M. Merz, Jr
https://arxiv.org/abs/2512.17800 https://mastoxiv.page/@arXiv_quantph_bot/115762723607200478
- Visually Prompted Benchmarks Are Surprisingly Fragile
Feng, Lian, Dunlap, Shu, Wang, Wang, Darrell, Suhr, Kanazawa
https://arxiv.org/abs/2512.17875 https://mastoxiv.page/@arXiv_csCV_bot/115762781936221554
- Learning vertical coordinates via automatic differentiation of a dynamical core
Tim Whittaker, Seth Taylor, Elsa Cardoso-Bihlo, Alejandro Di Luca, Alex Bihlo
https://arxiv.org/abs/2512.17877 https://mastoxiv.page/@arXiv_physicsaoph_bot/115762405092703069
- RadarGen: Automotive Radar Point Cloud Generation from Cameras
Tomer Borreda, Fangqiang Ding, Sanja Fidler, Shengyu Huang, Or Litany
https://arxiv.org/abs/2512.17897 https://mastoxiv.page/@arXiv_csCV_bot/115762783246540528
- Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
Gahlawat, Aboudonia, Banik, Hovakimyan, Matni, Ames, Zardini, Speranzon
https://arxiv.org/abs/2512.17899 https://mastoxiv.page/@arXiv_eessSY_bot/115762532257741954
- Re-Depth Anything: Test-Time Depth Refinement via Self-Supervised Re-lighting
Ananta R. Bhattarai, Helge Rhodin
https://arxiv.org/abs/2512.17908 https://mastoxiv.page/@arXiv_csCV_bot/115762785868778349
toXiv_bot_toot
I have the distinct impression that we could use most American "sci-fi" TV series (which seem to have a kink for post-apocalyptical scenographies) as a diagnostic tool for the autism spectrum.
For a moment, let's leave aside the tons of right-wing propaganda "hidden" in plain sight, and their excessive reliance on boring & worn out tropes (religious & cultish bullshit, irrational lack of communication & excess of anti-social behaviour, all vs all, ultra-low-iq characters*, psychotic & irrationally treacherous characters*, ultra-inconsistent character development used to justify "unexpected" plot twists, rampant anti-intellectualism...).
What could be used as a diagnosis tool is the incredible amount of strong inconsistencies that we can find in them**. It throws me out of the story every single time; and I suspect that it takes a certain kind of "uncommon personality" to feel that way about it, because otherwise these series wouldn't be so popular without real widespread criticism beyond cliches like "too slow", "it loses steam towards the end of the season", etc.
Many of those plots start in a gold mine of potentially powerful ideas... yet they consistently provide us with dirt & clay instead, while side-lining the "good stuff" as if it was too complicated for the populace.
Do you feel strongly about it? Do you feel like you can't verbalize it without being criticised as "too negative", or "too picky", or an "unbearable snob"? Do you wonder why it seems like nobody around shares your discomfort with these stories?
* : I feel this is a bit like the chicken & egg problem. Has the media conditioned part of American society to behave like dumb psychopaths as if it was something "natural", or is the media reflecting what was already there? Also, could we use other societies as models for these stories... just for a change? Please?
** : Just a tiny example: a "brilliant" engineer who builds a bridge out of fence parts and who doesn't bother to perform the most basic tests before trying it in a real setting and suffer the consequences: the bridge failing and her falling into the void. Bonus points for anyone who knows what I'm talking about.
I use a few apps for the CLI because, over the years, I've come to prefer efficiency and speed over fancy features. Newsboat, Castero, ffmpeg, yt-dlp, wget, git, toot, ssh, etc.
However, there are a few that never seem to stick around on my CLI. Neither mutt, ranger, ncmcpp, nor similar apps have managed to establish themselves on my computers... And I don't think they will at this point.
#cli
Estic buscant "testers" per a una "forja alternativa" ( basada en #Forgejo )
#CodiLliure, probablement de pagament per a projectes privats (tot i que per ara és la oferim sense cost per a tothom fins a la data oficial de llançament)
En quant tinguem clients de pagament, donarem una proporció fixa d'aquests ingressos al projecte Forgejo.
La forja l'allotgem a #Europa, en un proveïdor que fa servir energia de fonts renovables, i la mantenim a una petita #cooperativa catalana.
P.S.: Sí, coneixem el gran Codeberg :) .
#Catalunya #Cooperativisme #ProgramariLLiure