Besides, their complexity hampers the optimization involved in latent MAP derivation. In this work, we first propose to use compressive autoencoders instead. These networks, which can be seen as ...

Considered by many to be just a dull output for sequential text, the command-line terminal is a veritable canvas to the creative software developer. With the cursor as the brush, entire graphical u… ...

For the past six years, Los Alamos National Laboratory has led the world in trying to understand one of the most frustrating barriers that faces variational quantum computing: the barren plateau.

Anthropic researchers have open-sourced the tool they used to trace what goes on inside a large language model during inference. It includes a circuit tracing Python library that can be used with ...

Article citations More>> Wang, R., Zhu, H. and Li, S. (2021) Fashion Item Generation and Manipulation via Variational Autoencoders. Proceedings of the IEEE/CVF International Conference on Computer ...

Build A Rocket Boy has released a new trailer and screenshots for single-player action adventure game MindsEye, as well as detailed the title’s Game Creation Tools and planned constant stream… ...

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.

Agentive AI takes artificial intelligence beyond passive responses by enabling autonomous decision-making and task execution across industries.

This paper proposes a novel hybrid model that synergistically integrates Variational Autoencoders (VAEs) and Speeded-Up Robust Features (SURF) to address these challenges. The VAE component captures ...

Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in ...