Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
A survey on generative diffusion models
Deep generative models have unlocked another profound realm of human creativity. By
capturing and generalizing patterns within data, we have entered the epoch of all …
capturing and generalizing patterns within data, we have entered the epoch of all …
Foundation models for weather and climate data understanding: A comprehensive survey
As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …
sciences is increasingly adopting data-driven models, powered by progressive …
Diffusion augmentation for sequential recommendation
Sequential recommendation (SRS) has become the technical foundation in many
applications recently, which aims to recommend the next item based on the user's historical …
applications recently, which aims to recommend the next item based on the user's historical …
Diffusion-nat: Self-prompting discrete diffusion for non-autoregressive text generation
Recently, continuous diffusion models (CDM) have been introduced into non-autoregressive
(NAR) text-to-text generation. However, the discrete nature of text increases the difficulty of …
(NAR) text-to-text generation. However, the discrete nature of text increases the difficulty of …
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Eve: Efficient zero-shot text-based video editing with depth map guidance and temporal consistency constraints
Motivated by the superior performance of image diffusion models, more and more
researchers strive to extend these models to the text-based video editing task. Nevertheless …
researchers strive to extend these models to the text-based video editing task. Nevertheless …
[HTML][HTML] STMAP: A novel semantic text matching model augmented with embedding perturbations
Y Wang, B Zhang, W Liu, J Cai, H Zhang - Information Processing & …, 2024 - Elsevier
Semantic text matching models have achieved outstanding performance, but traditional
methods may not solve Few-shot learning problems and data augmentation techniques …
methods may not solve Few-shot learning problems and data augmentation techniques …
Diffusion models in text generation: a survey
Diffusion models are a kind of math-based model that were first applied to image generation.
Recently, they have drawn wide interest in natural language generation (NLG), a sub-field of …
Recently, they have drawn wide interest in natural language generation (NLG), a sub-field of …
Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.
W Ma, S Chen, Y Lou, X Li… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Reconstructing CAD construction sequences from raw 3D geometry serves as an interface
between real-world objects and digital designs. In this paper we propose CAD-Diffuser a …
between real-world objects and digital designs. In this paper we propose CAD-Diffuser a …