Mark Horton

11 papers A* 2A 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training.
ICML
Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen
2025 J jnl
CAMformer: Associative Memory is All You Need.
CoRR
Tergel Molom-Ochir, Benjamin F. Morris III, Mark Horton, Chiyue Wei, Cong Guo, Brady Taylor, Peter Liu, Shan X. Wang, Deliang Fan, Hai Helen Li, Yiran Chen
2025 A conf
Designing and Training Neural Networks for Analog In-Sensor Deployment: A Hardware-Aware Analysis.
ICCAD
Mark Horton, Haoxuan Shan, James Kiessling, Huanrui Yang, Yiran Chen, Hai Helen Li
2025 J jnl
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers.
CoRR
Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen
2025 J jnl
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers.
CoRR
Bhavna Gopal, Huanrui Yang, Mark Horton, Yiran Chen
2024 J jnl
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency.
CoRR
Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen
2023 — conf
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs.
ASPLOS (3)
Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen
2021 J jnl
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks.
ACM J. Emerg. Technol. Comput. Syst.
Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
2019 A* conf
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers.
DAC
Morteza Hosseini, Mark Horton, Hiren Paneliya, Uttej Kallakuri, Houman Homayoun, Tinoosh Mohsenin
2019 — conf
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.
ACM Great Lakes Symposium on VLSI
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019 J jnl
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.
CoRR
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin