公开(公告)号：US20230076290A1

公开(公告)日：2023-03-09

申请号：US17792975

申请日：2021-02-04

Applicant: QUALCOMM Incorporated

Inventor： Rana Ali AMJAD ,  Markus NAGEL ,  Tijmen Pieter Frederik BLANKEVOORT ,  Marinus Willem VAN BAALEN ,  Christos LOUIZOS

IPC: G06N3/04

Abstract: A method for quantizing a pre-trained neural network includes computing a loss on a training set of candidate weights of the neural network. A rounding parameter is assigned to each candidate weight. The rounding parameter is a binary random value or a multinomial value. A quantized weight value is computed based on the loss and the rounding parameter.

公开(公告)号：US20210399924A1

公开(公告)日：2021-12-23

申请号：US17349744

申请日：2021-06-16

Applicant: QUALCOMM Incorporated

Inventor： Rana Ali AMJAD ,  Kumar PRATIK ,  Max WELLING ,  Arash BEHBOODI ,  Joseph Binamira SORIAGA

IPC: H04L25/02 ,  H04L25/03

Abstract: A method performed by a communication device includes generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device. The method also includes inferring, with a neural network, a residual of the initial channel estimate of the current time step. The method further includes updating the initial channel estimate of the current time step based on the residual.

公开(公告)号：US20220070822A1

公开(公告)日：2022-03-03

申请号：US17461927

申请日：2021-08-30

Applicant: QUALCOMM Incorporated

Inventor： Arash BEHBOODI ,  Farhad GHAZVINIAN ZANJANI ,  Joseph Binamira SORIAGA ,  Lorenzo FERRARI ,  Rana Ali AMJAD ,  Max WELLING ,  Taesang YOO

IPC: H04W64/00 ,  H04B7/06 ,  H04B7/08 ,  G06N20/00

Abstract: A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.

公开(公告)号：US20230058159A1

公开(公告)日：2023-02-23

申请号：US17759725

申请日：2021-04-29

Applicant: QUALCOMM Incorporated

Inventor： Marinus Willem VAN BAALEN ,  Christos LOUIZOS ,  Markus NAGEL ,  Tijmen Pieter Frederik BLANKEVOORT ,  Rana Ali AMJAD

IPC: G06N3/08

Abstract: Various embodiments include methods and devices for joint mixed-precision quantization and structured pruning. Embodiments may include determining whether a plurality of gates of quantization and pruning gates are selected for combination, and in response to determining that the plurality of gates are selected for combination, iteratively for each successive gate of the plurality of gates selected for combination quantizing a residual error of a quantized tensor to a scale of a next bit-width producing a residual error quantized tensor in which the next bit-width increases for each successive iteration, and adding the quantized tensor and the residual error quantized tensor producing a next quantized tensor in which the next quantized tensor has the next bit-width, and in which the next quantized tensor is the quantized tensor for a successive iteration.