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For the Inventor, By the Inventor

Helsinki, Finland

Miika Samuli Aittala

USPTO Granted Patents = 12 

Average Co-Inventor Count = 6.7

ph-index = 2

Forward Citations = 16(Granted Patents)


Company Filing History:

goldMedal12 out of 5,406 
 
Nvidia Corporation
 patents

Years Active: 2023-2025

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12 patents (USPTO):
1. 12423781 - Techniques for content synthesis using denoising diffusion models (2025-09-23),
2. 12321825 - Training neural networks with limited data using invertible augmentation operators (2025-06-03),
3. 12142016 - Fused processing of a continuous mathematical operator (2024-11-12),
4. 12141941 - Generative neural networks with reduced aliasing (2024-11-12),
5. 11790598 - Three-dimensional tomography reconstruction pipeline (2023-10-17),
6. 11775829 - Generative adversarial neural network assisted video reconstruction (2023-10-03),
7. 11625613 - Generative adversarial neural network assisted compression and broadcast (2023-04-11),
8. 11620521 - Smoothing regularization for a generative neural network (2023-04-04),
9. 11610435 - Generative adversarial neural network assisted video compression and broadcast (2023-03-21),
10. 11610122 - Generative adversarial neural network assisted reconstruction (2023-03-21),
11. 11605001 - Weight demodulation for a generative neural network (2023-03-14),
12. 11580395 - Generative adversarial neural network assisted video reconstruction (2023-02-14),

Title: Miika Samuli Aittala: Innovator in Content Synthesis and Neural Networks

Introduction

Miika Samuli Aittala is a prominent inventor based in Helsinki, Finland. He has made significant contributions to the fields of content synthesis and neural network training, holding a total of 12 patents. His innovative techniques are paving the way for advancements in generative models and artificial intelligence.

Latest Patents

Aittala's latest patents include groundbreaking techniques for content synthesis using denoising diffusion models. These techniques involve generating a content item by receiving a content item and metadata indicating a level of corruption associated with it. The process includes multiple iterations where operations are performed to add and reduce corruption, ultimately resulting in a refined version of the content item. Another notable patent focuses on training neural networks with limited data using invertible augmentation operators. This technique addresses the challenges of training generative adversarial networks (GANs) with insufficient data, utilizing an adaptive discriminator augmentation mechanism to stabilize training and improve results.

Career Highlights

Miika Aittala is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia has allowed him to explore innovative solutions that enhance the capabilities of neural networks and generative models.

Collaborations

Aittala collaborates with esteemed colleagues such as Tero Tapani Karras and Samuli Matias Laine. Their combined expertise contributes to the development of cutting-edge technologies in the field of artificial intelligence.

Conclusion

Miika Samuli Aittala is a key figure in the innovation landscape, particularly in content synthesis and neural network training. His contributions are instrumental in advancing the capabilities of generative models, making a significant impact in various applications.

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