In the analysis and control of complex systems such as hybrid or switched systems, the computation of sets satisfying given properties is paramount. Let us mention for instance safety analysis, model predictive control and Information-Theoretic bounds for communication networks. Mathematically, the ...
Reward tampering is a problem that will impact the trustworthiness of the power- ful AI systems of the future. Reward Tampering describes the problem where AI agents bypass their intended objective, enabling unintended and potentially harm- ful behaviours. This paper investigates whether the creative ...
In supervised learning, obtaining a large set of fully-labeled training data is expensive. We show that we do not always need full label information on every single training example to train a competent classifier. Specifically, inspired by the principle of sufficiency in statistics, we present a...
Louis P. ParkerEngineering Mechanics, KTH Royal Institute of Technology, Stockholm, SwedenAnders Svensson MarcialDepartment of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, SwedenTorkel BrismarDepartment of Clinical Science, Intervention and Technology, Karolinska Institute, ...
These results confirmed that the proposed computation-based salt bridge design strategy could efficiently generate variants with enhanced thermal stability for the long-term degradation of PET, which would be helpful for the design of enzymes with improved stability....
Computer vision technology allows the computer to interact with a human operator to quickly complete the interpretation of events and improve the operational workflow of processing events. As computer vision technology continues to evolve, the cost of the equipment continues to increase. Therefore, the...
The lump solutions, the interaction between lump wave and solitary wave solutions and kink-solitary wave solutions are derived with symbolic computation based on a logarithmic derivative transform which is derived by the help of Hirota's simple method. The shallow water waves in this equation are ...
Privacy-Preserving Machine Learning (PPML), an active area of research, aims to preserve privacy for machine learning (ML) stakeholders like data owners, ML model owners, and inference users. The Paper, CoTraIn-VPD, proposes private ML inference and training of models for verti...
It may deteriorate the performance of classification algorithms running on these platforms. Numerous effective imputation methods exist to address this problem. However, traditional data imputation approaches mainly focus on low‐dimensional missing data, and in addition, they do not make use ...
Gaussian Processes with Errors in Variables: Theory and ComputationShuang ZhouPati, DebdeepTianying WangYun YangCarroll, Raymond J.Journal of Machine Learning Research