Tootfinder

A polynomial projective algorithm for convex feasibility problems with positive-definite constraints
Sergei Chubanov
https://arxiv.org/abs/2506.15484 https…

A polynomial projective algorithm for convex feasibility problems with positive-definite constraints
We study a class of projective transformations of spectraplexes associated with self-dual cones and, on this basis, propose a polynomial-time algorithm for convex feasibility problems with positive definite constraints. At each iteration of the algorithm, either a feasible solution is found or a suitable valid inequality inducing a projective transformation allowing to bring the solution set closer to the center of an associated spectraplex. The closeness to the center is measured in terms of a…

Heute vor 63 Jahren: Am 20. Juni 1962 wurde ein Thor-Missile der US-Starfish-Testserie nach einer Minute Flug abgebrochen. Ohne nukleare Explosion fielen kontaminierte Teile auf Johnson Island, wo Personal lebte und arbeitete.

HOIDiNi: Human-Object Interaction through Diffusion Noise Optimization
Roey Ron, Guy Tevet, Haim Sawdayee, Amit H. Bermano
https://arxiv.org/abs/2506.15625

HOIDiNi: Human-Object Interaction through Diffusion Noise Optimization
We present HOIDiNi, a text-driven diffusion framework for synthesizing realistic and plausible human-object interaction (HOI). HOI generation is extremely challenging since it induces strict contact accuracies alongside a diverse motion manifold. While current literature trades off between realism and physical correctness, HOIDiNi optimizes directly in the noise space of a pretrained diffusion model using Diffusion Noise Optimization (DNO), achieving both. This is made feasible thanks to our ob…

Fußball-Abo: Wow Live-Sport von Sky wird teurer
Sky erhöht den Preis für seinen Streaming-Dienst Wow: Das Live-Sport-Abonnement kostet monatlich bald 9 Euro mehr.
https://www.heise.…

From Flat to Feeling: A Feasibility and Impact Study on Dynamic Facial Emotions in AI-Generated Avatars
Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita, P{\aa}l Halvorsen
https://arxiv.org/abs/2506.13477

From Flat to Feeling: A Feasibility and Impact Study on Dynamic Facial Emotions in AI-Generated Avatars
Dynamic facial emotion is essential for believable AI-generated avatars; however, most systems remain visually inert, limiting their utility in high-stakes simulations such as virtual training for investigative interviews with abused children. We introduce and evaluate a real-time architecture fusing Unreal Engine 5 MetaHuman rendering with NVIDIA Omniverse Audio2Face to translate vocal prosody into high-fidelity facial expressions on photorealistic child avatars. We implemented a distributed t…

Symmetry in Multi-Qubit Correlated Noise Errors Enhances Surface Code Thresholds
SiYing Wang, Yue Yan, ZhiXin Xia, Xiang-Bin Wang
https://arxiv.org/abs/2506.15490

Symmetry in Multi-Qubit Correlated Noise Errors Enhances Surface Code Thresholds
Surface codes are promising for practical quantum error correction due to their high threshold and experimental feasibility. However, their performance under realistic noise conditions, particularly those involving correlated errors, requires further investigation. In this study, we investigate the impact of correlated errors on the error threshold. In particular, we focus on several distinct types of correlated errors that could potentially arise from next-nearest-neighbor (NNN) coupling in qu…

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
Wassim Bouaziz, Mathurin Videau, Nicolas Usunier, El-Mahdi El-Mhamdi
https://arxiv.org/abs/2506.14913

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
The pre-training of large language models (LLMs) relies on massive text datasets sourced from diverse and difficult-to-curate origins. Although membership inference attacks and hidden canaries have been explored to trace data usage, such methods rely on memorization of training data, which LM providers try to limit. In this work, we demonstrate that indirect data poisoning (where the targeted behavior is absent from training data) is not only feasible but also allow to effectively protect a dat…

Controller Synthesis for Parametric Timed Games
Mikael Bisgaard Dahlsen-Jensen (Aarhus University, Aarhus, Denmark), Baptiste Fievet (Universit\'e Sorbonne Paris Nord CNRS, Villetaneuse, France), Laure Petrucci (Universit\'e Sorbonne Paris Nord CNRS, Villetaneuse, France), Jaco van de Pol (Aarhus University, Aarhus, Denmark)
https://

Controller Synthesis for Parametric Timed Games
We present a (semi)-algorithm to compute winning strategies for parametric timed games. Previous algorithms only synthesized constraints on the clock parameters for which the game is winning. A new definition of (winning) strategies is proposed, and ways to compute them. A transformation of these strategies to (parametric) timed automata allows for building a controller enforcing them. The feasibility of the method is demonstrated by an implementation and experiments for the Production Cell cas…

Mitigating sloppiness in joint estimation of successive squeezing parameters
Priyanka Sharma, Stefano Olivares, Devendra Kumar Mishra, Matteo G. A. Paris
https://arxiv.org/abs/2506.15638

Mitigating sloppiness in joint estimation of successive squeezing parameters
When two successive squeezing operations with the same phase are applied to a field mode, reliably estimating the amplitude of each is impossible because the output state depends solely on their sum. In this case, the quantum statistical model becomes sloppy, and the quantum Fisher information matrix turns singular. However, estimation of both parameters becomes feasible if the quantum state is subjected to an appropriate scrambling operation between the two squeezing operations. In this work, …

Wavefunction branches demand a definition!
C. Jess Riedel
https://arxiv.org/abs/2506.15663 https://arxiv.org/pdf/2506.15663

Wavefunction branches demand a definition!
Under unitary evolution, a typical macroscopic quantum system is thought to develop wavefunction branches: a time-dependent decomposition into orthogonal components that (1) form a tree structure forward in time, (2) are approximate eigenstates of quasiclassical macroscopic observables, and (3) exhibit effective collapse of feasibly measurable observables. If they could be defined precisely, wavefunction branches would extend the theory of decoherence beyond the system-environment paradigm and …