QTS2D is a Python library for encoding time series data into image representations using quantum computing principles. These image-based representations can then be used as input for various machine ...

Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...

ESET researchers offer a deep dive analysis of the CVE 2025 50165 vulnerability and provide their method to reproduce the crash using a simple 12-bit or 16-bit JPG image, and an examination of the ...

ESET researchers provide a comprehensive analysis and assessment of a critical severity vulnerability with low likelihood of ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...