Tootfinder

Şimdi arkadaşlar söyle bir gerçek var ki, hayatımızdaki bazı insanlara "alışıp tanımış olduğun göt, huyunu suyunu öğrenmeye çalışacağın yeni götten evladır" diye katlanıyoruz.

HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
Patrick Diehl, Steven R. Brandt, Gregor Dai{\ss}, Hartmut Kaiser
https://arxiv.org/abs/2405.00016

HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
Cloud computing for high performance computing resources is an emerging topic. This service is of interest to researchers who care about reproducible computing, for software packages with complex installations, and for companies or researchers who need the compute resources only occasionally or do not want to run and maintain a supercomputer on their own. The connection between HPC and containers is exemplified by the fact that Microsoft Azure's Eagle cloud service machine is number three on th…

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
https://arxiv.org/abs/2405.01472

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Imitation learning is a promising paradigm for training robot control policies, but these policies can suffer from distribution shift, where the conditions at evaluation time differ from those in the training data. A popular approach for increasing policy robustness to distribution shift is interactive imitation learning (i.e., DAgger and variants), where a human operator provides corrective interventions during policy rollouts. However, collecting a sufficient amount of interventions to cover …

Und das Finale von Run durch Paris mit #EatTheReich. Bei Vollmond den Eiffelturm hoch. #pnpde #ActualPlay

Beyond the random phase approximation for calculating Curie temperatures in ferromagnets: application to Fe, Ni, Co and monolayer CrI3
Varun Rajeev Pavizhakumari, Thorbj{\o}rn Skovhus, Thomas Olsen
https://arxiv.org/abs/2405.00477

Beyond the random phase approximation for calculating Curie temperatures in ferromagnets: application to Fe, Ni, Co and monolayer CrI3
The magnetic properties of solids are typically analyzed in terms of Heisenberg models where the electronic structure is approximated by interacting localized spins. However, even in such models the evaluation of thermodynamic properties constitutes a major challenge and is usually handled by a mean field decoupling scheme. The random phase approximation (RPA) comprises a common approach and is often applied to evaluate critical temperatures although it is well known that the method is only acc…

This https://arxiv.org/abs/2303.07230 has been replaced.
link: https://scholar.google.com/scholar?q=a

Systematic Evaluation of Deep Learning Models for Failure Prediction
With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can enable engineers to automatically predict failures at run time. Several Machine Learning (ML) techniques, including traditional ML and Deep Learning (DL), have been proposed to automate such tasks. However, current empirical studies are limited in terms of covering all main DL types -- Recurrent Neural Network (RNN), Convolutional Neural net…

QuickerCheck: Implementing and Evaluating a Parallel Run-Time for QuickCheck
Robert Krook, Nicholas Smallbone, Bo Joel Svensson, Koen Claessen
https://arxiv.org/abs/2404.16062

QuickerCheck: Implementing and Evaluating a Parallel Run-Time for QuickCheck
This paper introduces a new parallel run-time for QuickCheck, a Haskell library and EDSL for specifying and randomly testing properties of programs. The new run-time can run multiple tests for a single property in parallel, using the available cores. Moreover, if a counterexample is found, the run-time can also shrink the test case in parallel, implementing a parallel search for a locally minimal counterexample. Our experimental results show a 3--9$\times$ speed-up for testing QuickCheck prop…

Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng, Xiaoyong Chen, Jiaming Liang, Huisi Wu, Guangzhong Cao, Yong Guo
https://arxiv.org/abs/2403.20254

Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Temporal action detection (TAD) aims to locate action positions and recognize action categories in long-term untrimmed videos. Although many methods have achieved promising results, their robustness has not been thoroughly studied. In practice, we observe that temporal information in videos can be occasionally corrupted, such as missing or blurred frames. Interestingly, existing methods often incur a significant performance drop even if only one frame is affected. To formally evaluate the robus…

Here is my hot take on the #WordPress AI debacle:
- Automattic/WordPress.com could have done a much better job on communicating their strategy
- 404 Media and others could have written much better headlines that didn't make it sound like every WordPress installation would be impacted
- If you run a public web site and you haven't configured a robots.txt file to prevent AI sc…

Systems Approach
Explaining the Internet: its technology, architecture and evolution

This https://arxiv.org/abs/1512.08833 has been replaced.
link: https://scholar.google.com/scholar?q=a

Anisotropic emission of direct photons from Au+Au collisions at $\sqrt {s_{\rm NN}}=200~{\rm GeV}$ with EPOS3 and IP-Glasma
The observed large elliptic flow ($v_2$) of direct photons in relativistic heavy ion collisions challenges us to explain. In this paper we consider only two sources of direct photons, prompt photons and thermal photons. Prompt photons are calculated with QCD to next leading order, which fits well the spectra at high transverse momentum ($p_{\rm t}$) region. Thermal photons are calculated with AMY rate in a 3+1D viscous hydrodynamical evolution of the collision systems. Two types of initial cond…