Tootfinder

Symmetry-Guided Multi-Agent Inverse Reinforcement Learnin
Yongkai Tian, Yirong Qi, Xin Yu, Wenjun Wu, Jie Luo
https://arxiv.org/abs/2509.08257 https://arxi…

Symmetry-Guided Multi-Agent Inverse Reinforcement Learnin
In robotic systems, the performance of reinforcement learning depends on the rationality of predefined reward functions. However, manually designed reward functions often lead to policy failures due to inaccuracies. Inverse Reinforcement Learning (IRL) addresses this problem by inferring implicit reward functions from expert demonstrations. Nevertheless, existing methods rely heavily on large amounts of expert demonstrations to accurately recover the reward function. The high cost of collecting…

Found some old RAW files from 2014 and 2015 on some portable SSD of mine. Most of them were crap, but much to my surprise I found a handful of pictures worth keeping.
For example, the 2014 me didn't like this picture much.
In 2025 I love shooting this kind of mundane scenes. Finding and noticing them doesn't always come easy though.
📷 📸
#photography

Question!
For a long time YouTube is a pain in the ass! If you see one video about a pimple on your ass, your feed is only about that topic and it makes me sick! I follow a few content creators on peertube, But i would like to have some more accounts to look into, where do i find them?
This can go from a Tech talk, a bike restore, a podcast, ghost stories, you name it.
For now it stick with podcasts, but i would like to federate my video watching also a bit!
:pinguno…

Hm...
This sounds like something that needs to be changed...
... dunno if on the side of #PeerTube or #Mastodon.
https://

Good job now peertube looks shit on mobile devices.
I need to call ublock origin to make it usable. Make these element go away if I don't click them after sometime or make them smaller.
Open in app ? Seriously?
@… #peertube

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
Arkadeep Acharya, Akash Ghosh, Pradeepika Verma, Kitsuchart Pasupa, Sriparna Saha, Priti Singh
https://arxiv.org/abs/2510.06888

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
With the increasing use of RetrievalAugmented Generation (RAG), strong retrieval models have become more important than ever. In healthcare, multimodal retrieval models that combine information from both text and images offer major advantages for many downstream tasks such as question answering, cross-modal retrieval, and multimodal summarization, since medical data often includes both formats. However, there is currently no standard benchmark to evaluate how well these models perform in medica…

An interferometric mid-infrared study of the eruptive star binary Z CMa with MATISSE/VLTI. I. Imaging the protoplanetary disks during the 2023 outburst
F. Lykou, J. Varga, F. Cruz-Sa\'enz de Miera, P. \'Abrah\'am, \'A. K\'osp\'al, B. Lopez, T. Henning, S. Wolf, G. Weigelt, F. Millour, M. Hogerheijde, L. Chen, T. Ratzka, W. Danchi, P. Boley, J. -C. Augereau, P. Priolet

An interferometric mid-infrared study of the eruptive star binary Z CMa with MATISSE/VLTI. I. Imaging the protoplanetary disks during the 2023 outburst
The mid-infrared (MIR) emitting regions of the individual protoplanetary disks in the binary system Z CMa are resolved by MATISSE/VLTI. The observations were obtained during a serendipitous large outburst of the HBe star that lasted more than 100 days, while the FUor companion is presumed to be in quiescence. The size of the MIR-emitting disk region of the more massive HBe star increases toward longer wavelengths from $<14$ mas at 3.5$μm$ to $\ll 50$ mas at 11.5$μm$ . The lack of substructure…

Signed network models for portfolio optimization
Bibhas Adhikari
https://arxiv.org/abs/2510.05377 https://arxiv.org/pdf/2510.05377

Signed network models for portfolio optimization
In this work, we consider weighted signed network representations of financial markets derived from raw or denoised correlation matrices, and examine how negative edges can be exploited to reduce portfolio risk. We then propose a discrete optimization scheme that reduces the asset selection problem to a desired size by building a time series of signed networks based on asset returns. To benchmark our approach, we consider two standard allocation strategies: Markowitz's mean-variance optimizatio…

Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging
Rui Guo, Yi Zhang, Yhonatan Kvich, Tianyao Huang, Maokun Li, Yonina C. Eldar
https://arxiv.org/abs/2509.04860

Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging
Electromagnetic (EM) imaging is an important tool for non-invasive sensing with low-cost and portable devices. One emerging application is EM stroke imaging, which enables early diagnosis and continuous monitoring of brain strokes. Quantitative imaging is achieved by solving an inverse scattering problem (ISP) that reconstructs permittivity and conductivity maps from measurements. In general, the reconstruction accuracy is limited by its inherent nonlinearity and ill-posedness. Existing methods…

YouTube is like heroin because it pulls you in, hooks you, and slowly drains you. It is designed to be addictive and destructive, and that is exactly why it feels so hard to step away from it.
And yes, I know the excuse, maybe your favorite dealer has not set up shop on PeerTube. But that does not change the truth of the comparison.
PeerTube is like weed, it grows more naturally, it is gentler on you, and it still gives you a high without tearing apart your health and your lif…