滋养
发表于 2025-3-25 06:26:01
Yu. Z. Miropol’sky,O. D. Shishkinaalence definition without substitution or name swapping. Furthermore, we provide structural and rule induction principles that encapsulate the Barendregt Variable Convention, enabling formal proofs mirroring informally-styled ones. These principles are leveraged to establish foundational results suc
HARP
发表于 2025-3-25 10:07:55
http://reply.papertrans.cn/27/2658/265725/265725_22.png
符合规定
发表于 2025-3-25 14:20:55
https://doi.org/10.1007/978-94-017-1325-2 effective in the domain of spacecraft rendezvous, owing to its high performance in complex continuous control tasks and low online storage and computation cost. However, the lack of safety guarantees during the learning process restricts the application of RL to safety-critical control systems with
者变
发表于 2025-3-25 18:10:01
Akira Takeishi,Tsuyoshi Numagamie at the core of the abstract interpretation framework, and the numerical abstract domains aiming at analyzing numerical properties have received extensive attention. The template constraint matrix domain (also called the template polyhedra domain) is widely used due to its configurable constraint m
Anecdote
发表于 2025-3-25 20:05:57
http://reply.papertrans.cn/27/2658/265725/265725_25.png
Allodynia
发表于 2025-3-26 00:17:07
,String Constraints with Regex-Counting and String-Length Solved More Efficiently,e in regexes that counts the number of matchings of sub-patterns. The state-of-the-art string solvers are incapable of solving string constraints with regex-counting and string-length efficiently, especially when the counting and length bounds are large. In this work, we propose an automata-theoreti
沙草纸
发表于 2025-3-26 08:18:35
,Reachability Based Uniform Controllability to Target Set with Evolution Function,ving from the initial set can enter into the target set. For this purpose, we first introduce the evolution function (EF) for exactly describing the reachable set and give an over-approximation of the reachable set with high precision using the series representation of the evolution function. Subseq
BRINK
发表于 2025-3-26 08:30:46
http://reply.papertrans.cn/27/2658/265725/265725_28.png
罗盘
发表于 2025-3-26 14:05:16
,Graph-Based Log Anomaly Detection via Adversarial Training,addition, existing methods often overlook log event structural relationships, causing instability. In this work, we propose AdvGraLog, a Generative Adversarial Network (GAN) model based on log graph representation, to detect anomalies when the reconstruction error of discriminator is terrible. We co
patriarch
发表于 2025-3-26 20:27:02
http://reply.papertrans.cn/27/2658/265725/265725_30.png