Tomas Nordström

Professor

Umea University

Sweden

Research Interests

Explore related searches

Professors in Sweden Professors in Deep Learning Deep Learning professors in Sweden

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Tomas Nordström is a Professor at Umeå University in Sweden. His research focuses on recurrent neural networks, hardware-aware quantization, and the architecture of wireless sensor networks for industrial applications. Recent articles authored by Professor Nordström explore innovative frameworks for manycore architectures and propose methods for post-training quantization in neural models.

Articles (5)

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (1)

Dimitrios Stathis

KTH Royal Institute of Technology

SWEDEN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Tomas Nordström

Research Interests

Explore related searches

Contact this professor

About

Articles (5)

Shrink and Eliminate: A Study of Post-Training Quantization and Repeated Operations Elimination in RNN Models

MOHAQ: Multi-Objective Hardware-Aware Quantization of recurrent neural networks

The DEWI High-Level Architecture: Wireless Sensor Networks in Industrial Applications

A framework to generate domain-specific manycore architectures from dataflow programs

Recurrent Neural Networks: An Embedded Computing Perspective

Collaborators (1)

Dimitrios Stathis

Make your next move.