Patents/Inventors

Eric A. Sather

Palo Alto, CAUS29 patents

26 Patents

US125969312026
Selection of Inputs for Training Machine-trained Network
Amazon Technologies, Inc.
0 cites
US125794302026
Decomposition of Weight Tensors for Structural Sparsity
K&L Gates LLP
0 cites
US125727982026
Accounting for Compute Time in Training of Network
Amazon Technologies, Inc.
0 cites
US125364132026
Probabilistic Projection of Network Parameters
Amazon Technologies, Inc.
0 cites
US124623502025
Circuit for Executing Stateful Neural Network
Amazon Technologies, Inc.
0 cites
US123676612025
Weighted Selection of Inputs for Training Machine-trained Network
AMAZON TECHNOLOGIES, Inc.
0 cites
US122995552025
Training Network with Discrete Weight Values
Amazon Technologies, Inc.
0 cites
US122488802025
Using Batches of Training Items for Training a Network
Amazon Technologies, Inc.
0 cites
US121753682024
Training Sparse Networks with Discrete Weight Values
Amazon Technologies, Inc.
0 cites
US121650662024
Training Network to Maximize True Positive Rate at Low False Positive Rate
Amazon Technologies, Inc.
0 cites
US121360392024
Optimizing Global Sparsity for Neural Network
PERCEIVE CORPORATION
0 cites
US121122542024
Optimizing Loss Function During Training of Network
PERCEIVE CORPORATION
0 cites
US120619812024
Decomposition of Weight Tensors in Network with Value Quantization
PERCEIVE CORPORATION
0 cites
US120619882024
Decomposition of Ternary Weight Tensors
PERCEIVE CORPORATION
0 cites
US120457252024
Batch Normalization for Replicated Layers of Neural Network
PERCEIVE CORPORATION
0 cites
US119955332024
Executing Replicated Neural Network Layers on Inference Circuit
PERCEIVE CORPORATION
0 cites
US119955372024
Training Network with Batches of Input Instances
PERCEIVE CORPORATION
0 cites
US119002382024
Removing Nodes from Machine-trained Network Based on Introduction of Probabilistic Noise During Training
PERCEIVE CORPORATION
0 cites
US118688712024
Circuit for Executing Stateful Neural Network
PERCEIVE CORPORATION
0 cites
US118475672023
Loss-aware Replication of Neural Network Layers
PERCEIVE CORPORATION
0 cites
US118475682023
Quantizing Neural Networks Using Shifting and Scaling
PERCEIVE CORPORATION
0 cites
US117413692023
Using Batches of Training Items for Training a Network
PERCEIVE CORPORATION
0 cites
US116204952023
Neural Networks with Spatial and Temporal Features
PERCEIVE CORPORATION
0 cites
US116101542023
Preventing Overfitting of Hyperparameters During Training of Network
PERCEIVE CORPORATION
0 cites
US116049732023
Replication of Neural Network Layers
PERCEIVE CORPORATION
0 cites
US115869022023
Training Network to Minimize Worst Case Surprise
PERCEIVE CORPORATION
0 cites