Tootfinder

Shameful. I can't see how they can continue to be a party to the ECHR after this.
https://www.theguardian.com/world/2025/apr/14/hungary-poised-to-adopt-constitutional-amendment-to-ban-lgbtq-gatherings

Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning
Maxime Haddouche, Otmane Sakhi
https://arxiv.org/abs/2506.10664 https://

Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning
Off-policy learning serves as the primary framework for learning optimal policies from logged interactions collected under a static behavior policy. In this work, we investigate the more practical and flexible setting of adaptive off-policy learning, where policies are iteratively refined and re-deployed to collect higher-quality data. Building on the success of PAC-Bayesian learning with Logarithmic Smoothing (LS) in static settings, we extend this framework to the adaptive scenario using tool…

https://www.theguardian.com/books/2025/apr/14/the-big-idea-will-sci-fi-end-up-destroying-the-world?utm_term=Autofeed&CMP=bsky_gu&utm_med…

K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Tatiana Bespalova, Oumaya Ladhari, Guido Masella
https://arxiv.org/abs/2506.09658

K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Classical simulation of molecular systems is limited by exponential scaling, a hurdle quantum algorithms like Variational Quantum Eigensolvers (VQEs) aim to overcome. Although ADAPT-VQE enhances VQEs by dynamically building ansätze, it can remain computationally intensive. This work presents K-ADAPT-VQE, which improves efficiency by adding operators in chunks of K at each iteration. Our results from simulating small molecular systems show that K-ADAPT-VQE substantially reduces the total number…

Adaptive Migration Decision for Multi-Tenant Memory Systems
Hyungjun Cho, Igjae Kim, Kwanghoon Choi, Hongjin Kim, Wonjae Lee, Junhyeok Im, Jinin So, Jaehyuk Huh
https://arxiv.org/abs/2505.09164

Adaptive Migration Decision for Multi-Tenant Memory Systems
Tiered memory systems consisting of fast small memory and slow large memory have emerged to provide high capacity memory in a cost-effective way. The effectiveness of tiered memory systems relies on how many memory accesses can be absorbed by the fast first-tier memory by page migration. The recent studies proposed several different ways of detecting hot pages and migrating them efficiently. However, our investigation shows that page migration is not always beneficial as it has the associated c…

Investitionen in #Klimaanpassung zahlen sich aus.
Laut einer Analyse des World Resources Institute bringen sie im Schnitt mehr als das Zehnfache des eingesetzten Kapitals zurück.
Besonders hohe Renditen wurden im #Gesundheitswesen und bei der

Innovative Adaptive Imaged Based Visual Servoing Control of 6 DoFs Industrial Robot Manipulators
Rongfei Li, Francis Assadian
https://arxiv.org/abs/2506.10240

Innovative Adaptive Imaged Based Visual Servoing Control of 6 DoFs Industrial Robot Manipulators
Image-based visual servoing (IBVS) methods have been well developed and used in many applications, especially in pose (position and orientation) alignment. However, most research papers focused on developing control solutions when 3D point features can be detected inside the field of view. This work proposes an innovative feedforward-feedback adaptive control algorithm structure with the Youla Parameterization method. A designed feature estimation loop ensures stable and fast motion control whe…

Jalen Hurts better at adapting to constant play caller changes; how Eagles QB is evolving with Kevin Patullo

https://www.cbssports.com/nfl/new…

Adaptive Chosen-Ciphertext Security of Distributed Broadcast Encryption
Kwangsu Lee
https://arxiv.org/abs/2506.10338 https://arxiv.or…

Adaptive Chosen-Ciphertext Security of Distributed Broadcast Encryption
Distributed broadcast encryption (DBE) is a specific kind of broadcast encryption (BE) where users independently generate their own public and private keys, and a sender can efficiently create a ciphertext for a subset of users by using the public keys of the subset users. Previously proposed DBE schemes have been proven in the adaptive chosen-plaintext attack (CPA) security model and have the disadvantage of requiring linear number of pairing operations when verifying the public key of a user.…

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
Xiaoxing Mo, Yuxuan Cheng, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao
https://arxiv.org/abs/2506.10722

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
Deep Neural Networks (DNNs) are vulnerable to backdoor attacks, where attackers implant hidden triggers during training to maliciously control model behavior. Topological Evolution Dynamics (TED) has recently emerged as a powerful tool for detecting backdoor attacks in DNNs. However, TED can be vulnerable to backdoor attacks that adaptively distort topological representation distributions across network layers. To address this limitation, we propose TED-LaST (Topological Evolution Dynamics agai…