Quantum computing for finance

D Herman, C Googin, X Liu, Y Sun, A Galda… - Nature Reviews …, 2023‏ - nature.com
Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …

A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?

C Zhang, C Zhang, S Zheng, Y Qiao, C Li… - arxiv preprint arxiv …, 2023‏ - arxiv.org
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

[PDF][PDF] The forward-forward algorithm: Some preliminary investigations

G Hinton - arxiv preprint arxiv:2212.13345, 2022‏ - cs.toronto.edu
The aim of this paper is to introduce a new learning procedure for neural networks and to
demonstrate that it works well enough on a few small problems to be worth serious …

Compositional visual generation with composable diffusion models

N Liu, S Li, Y Du, A Torralba, JB Tenenbaum - European Conference on …, 2022‏ - Springer
Large text-guided diffusion models, such as DALLE-2, are able to generate stunning
photorealistic images given natural language descriptions. While such models are highly …

Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects

S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024‏ - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …

Restoring vision in adverse weather conditions with patch-based denoising diffusion models

O Özdenizci, R Legenstein - IEEE Transactions on Pattern …, 2023‏ - ieeexplore.ieee.org
Image restoration under adverse weather conditions has been of significant interest for
various computer vision applications. Recent successful methods rely on the current …

Listen, denoise, action! audio-driven motion synthesis with diffusion models

S Alexanderson, R Nagy, J Beskow… - ACM Transactions on …, 2023‏ - dl.acm.org
Diffusion models have experienced a surge of interest as highly expressive yet efficiently
trainable probabilistic models. We show that these models are an excellent fit for …

Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations

M Zhao, F Bao, C Li, J Zhu - Advances in Neural …, 2022‏ - proceedings.neurips.cc
Score-based diffusion models (SBDMs) have achieved the SOTA FID results in unpaired
image-to-image translation (I2I). However, we notice that existing methods totally ignore the …

Self-supervised speech representation learning: A review

A Mohamed, H Lee, L Borgholt… - IEEE Journal of …, 2022‏ - ieeexplore.ieee.org
Although supervised deep learning has revolutionized speech and audio processing, it has
necessitated the building of specialist models for individual tasks and application scenarios …

Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc

Y Du, C Durkan, R Strudel… - International …, 2023‏ - proceedings.mlr.press
Since their introduction, diffusion models have quickly become the prevailing approach to
generative modeling in many domains. They can be interpreted as learning the gradients of …