2024
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2023
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.
IEEE Embed. Syst. Lett., March, 2023
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors.
CoRR, 2023
On Hyperdimensional Computing-based Federated Learning: A Case Study.
Proceedings of the International Joint Conference on Neural Networks, 2023
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
2022
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.
CoRR, 2022
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process.
CoRR, 2022
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing.
CoRR, 2022
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing.
CoRR, 2021
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS.
CoRR, 2021
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021
Workload-Aware Approximate Computing Configuration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications.
IEEE Embed. Syst. Lett., 2020
MiabNET: Message-in-a-bottle Protocol for MANET.
CoRR, 2020
AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
A Machine Learning-Based Error Model of Voltage-Scaled Circuits.
Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020
AxBy: Approximate Computation Bypass for Data-Intensive Applications.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020
TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019
Energy Efficient GPU Applications Through Computation Skip.
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019
DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019