Growing community of inventors

San Jose, CA, United States of America

Andrew C Mihal

Average Co-Inventor Count = 2.59

ph-index = 6

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 391

Andrew C MihalSteven L Teig (21 patents)Andrew C MihalEric A Sather (11 patents)Andrew C MihalJeffrey L Kodosky (3 patents)Andrew C MihalHugo A Andrade (3 patents)Andrew C MihalBrian Keith Odom (3 patents)Andrew C MihalCary Paul Butler (3 patents)Andrew C MihalAndrew C Mihal (24 patents)Steven L TeigSteven L Teig (446 patents)Eric A SatherEric A Sather (37 patents)Jeffrey L KodoskyJeffrey L Kodosky (101 patents)Hugo A AndradeHugo A Andrade (66 patents)Brian Keith OdomBrian Keith Odom (66 patents)Cary Paul ButlerCary Paul Butler (28 patents)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Perceive Corporation (17 from 83 patents)

2. National Instruments Corporation (3 from 1,105 patents)

3. Amazon Technologies, Inc. (2 from 22,119 patents)

4. Altera Corporation (1 from 4,266 patents)

5. Tabula, Inc. (1 from 183 patents)


24 patents:

1. 12248880 - Using batches of training items for training a network

2. 12165066 - Training network to maximize true positive rate at low false positive rate

3. 12051000 - Training network to minimize worst-case error

4. 12008465 - Dynamic generation of data sets for training machine-trained network

5. 12001948 - Machine trained network using novel coding techniques

6. 11995537 - Training network with batches of input instances

7. 11868871 - Circuit for executing stateful neural network

8. 11741369 - Using batches of training items for training a network

9. 11620495 - Neural networks with spatial and temporal features

10. 11586902 - Training network to minimize worst case surprise

11. 11475310 - Training network to minimize worst-case error

12. 11373325 - Machine-trained network for misalignment-insensitive depth perception

13. 11163986 - Using batches of training items for training a network

14. 11151695 - Video denoising using neural networks with spatial and temporal features

15. 11043006 - Use of machine-trained network for misalignment identification

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as of
9/10/2025
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