Tootfinder

Discovery of Odd Radio Circles and Other Peculiars in the First Year of the EMU Survey using Object Detection
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder, Minh Huynh, Heinz Andernach, Andrew M. Hopkins, Stanislav Shabala, Lawrence Rudnick, Miroslav D. Filipovi\'c, B\"arbel S. Koribalski, Lars Petersson, X. Rosalind Wang
https://

Discovery of Odd Radio Circles and Other Peculiars in the First Year of the EMU Survey using Object Detection
We present a systematic search for Odd Radio Circles (ORCs) and other unusual radio morphologies using data from the first year of the EMU (Evolutionary Map of the Universe) survey. ORCs are rare, enigmatic objects characterized by edge-brightened rings of radio emission, often found in association with distant galaxies. To identify these objects, we employ a hybrid methodology combining supervised object detection techniques and visual inspection of radio source candidates. This approach leads…

Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
Chenhao Li, Marco Hutter, Andreas Krause
https://arxiv.org/abs/2507.05906 https://…

Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
This survey provides a comparative analysis of feature-based and GAN-based approaches to learning from demonstrations, with a focus on the structure of reward functions and their implications for policy learning. Feature-based methods offer dense, interpretable rewards that excel at high-fidelity motion imitation, yet often require sophisticated representations of references and struggle with generalization in unstructured settings. GAN-based methods, in contrast, use implicit, distributional s…

Series C, Episode 02 - Powerplay
VILA: You know, those two are really nice girls, really nice.
RECEPTIONIST: They've brought in over twenty primitives in the last two years.
VILA: You don't surprise me, they're all heart those two.
https://blake.torpidity.net/m/302/399

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Enhancing Multi-Exposure High Dynamic Range Imaging with Overlapped Codebook for Improved Representation Learning
Keuntek Lee, Jaehyun Park, Nam Ik Cho
https://arxiv.org/abs/2507.01588

Enhancing Multi-Exposure High Dynamic Range Imaging with Overlapped Codebook for Improved Representation Learning
High dynamic range (HDR) imaging technique aims to create realistic HDR images from low dynamic range (LDR) inputs. Specifically, Multi-exposure HDR imaging uses multiple LDR frames taken from the same scene to improve reconstruction performance. However, there are often discrepancies in motion among the frames, and different exposure settings for each capture can lead to saturated regions. In this work, we first propose an Overlapped codebook (OLC) scheme, which can improve the capability of t…

Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Sch\"olkopf
https://arxiv.org/abs/2506.06039

Do-PFN: In-Context Learning for Causal Effect Estimation
Estimation of causal effects is critical to a range of scientific disciplines. Existing methods for this task either require interventional data, knowledge about the ground truth causal graph, or rely on assumptions such as unconfoundedness, restricting their applicability in real-world settings. In the domain of tabular machine learning, Prior-data fitted networks (PFNs) have achieved state-of-the-art predictive performance, having been pre-trained on synthetic data to solve tabular prediction…

Welp, got another device to get working under Linux. The new rudder pedals came in: Honeycomb Aeronautical Charlie Rudder Pedal. I can see inputs coming in from the device, the `/dev/hidraw` permissions are perfect, but outside of that there is nothing.
Verified the registry settings in MSFS 24 but MSFS also doesn't see the pedals unfortunately. Very frustrating.
#linux

Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning
Gustavo C. Mangold, Heitor C. M. Fernandes, Mendeli H. Vainstein
https://arxiv.org/abs/2507.02211

Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning
Recent studies in the spatial prisoner's dilemma games with reinforcement learning have shown that static agents can learn to cooperate through a diverse sort of mechanisms, including noise injection, different types of learning algorithms and neighbours' payoff knowledge.In this work, using an independent multi-agent Q-learning algorithm, we study the effects of dilution and mobility in the spatial version of the prisoner's dilemma. Within this setting, different possible actions for the algor…

Scanner-based real-time automated volumetry reporting of the fetus, amniotic fluid, placenta and umbilical cord for fetal MRI at 0.55T
Sara Neves Silva, Alena Uus, Hadi Waheed, Simi Bansal, Kamilah St Clair, Wendy Norman, Jordina Aviles Verdera, Daniel Cromb, Tomas Woodgate, Milou van Poppel, Johannes K Steinweg, Jacqueline Matthew, Kuberan Pushparajah, David Lloyd, Vanessa Kyriakopoulou, Dimitris Siasakos, Anna David, Joseph V Hajnal, Lisa Story, Mary A Rutherford, Jana Hutter

Scanner-based real-time automated volumetry reporting of the fetus, amniotic fluid, placenta and umbilical cord for fetal MRI at 0.55T
Purpose: This work aims to enable real-time automated intra-uterine volumetric reporting and fetal weight estimation for fetal MRI, deployed directly on the scanner. Methods: A multi-region segmentation nnUNet was trained on 146 bSSFP images of 73 fetal subjects (coronal and axial orientations) for the parcellation of the fetal head, fetal body, placenta, amniotic fluid and umbilical cord from whole uterus bSSFP stacks. A reporting tool was then developed to integrate the segmentation outputs i…

proxy_pass with nginx fails with Safari, because Upgrade http header is passed on
https://winkelwagen.de/2025/06/24/troubleshooting-proxy_pass-with-safari/

Troubleshooting proxy_pass with Safari
I setup a proxy pass to have the app on one server and the hostname terminate by DNS on another machine. Setting up a reverse proxy is pretty easy: location /directory/ { proxy_pass proxy_set_heade…

Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework
Harrison Katz
https://arxiv.org/abs/2507.04087 https://

Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework
Accurate forecasts of the US renewable-generation mix are critical for planning transmission upgrades, sizing storage, and setting balancing-market rules. We present a Bayesian Dirichlet ARMA (BDARMA) model for monthly shares of hydro, geothermal, solar, wind, wood, municipal waste, and biofuels from January 2010 to January 2025. The mean vector follows a parsimonious VAR(2) in additive-log-ratio space, while the Dirichlet concentration parameter combines an intercept with ten Fourier harmonics…