Mark Horton

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 5

Top Topics

Complexity Reduction

Weak Classifiers

Convolutional Neural Networks

Top Venues

ACM Great Lakes Symposium on VLSI

Publications

Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) (2023)
Mohit Khatwani, Hasib-Al-Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2019)
Morteza Hosseini, Mark Horton, Hiren Paneliya, Utteja Kallakuri, Houman Homayoun, Tinoosh Mohsenin
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. DAC (2019)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR (2019)