Moritz Scherer

Orcid: 0000-0002-2762-2307

Affiliations:
  • ETH Zürich, Zürich, Switzerland


According to our database1, Moritz Scherer authored at least 27 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads.
IEEE Trans. Very Large Scale Integr. Syst., September, 2024

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine.
IEEE J. Solid State Circuits, July, 2024

Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs.
IEEE Trans. Biomed. Circuits Syst., June, 2024

Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers.
CoRR, 2024

Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow.
CoRR, 2024

xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems.
CoRR, 2024

Optimizing the Deployment of Tiny Transformers on Low-Power MCUs.
CoRR, 2024

Work in Progress: Linear Transformers for TinyML.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems.
Proceedings of the 35th IEEE International Conference on Application-specific Systems, 2024

2023
7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks.
Future Gener. Comput. Syst., December, 2023

TCN-CUTIE: A 1, 036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology.
IEEE Micro, 2023

Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

2022
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology.
CoRR, 2022

WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance.
Proceedings of the 18th International Conference on Wireless and Mobile Computing, 2022

Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs.
Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

Ternarized TCN for $\mu \mathrm{J}/\text{Inference}$ Gesture Recognition from DVS Event Frames.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2022

EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars.
IEEE Internet Things J., 2021

Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes.
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2019
SmartAid: A Low-Power Smart Hearing Aid For Stutterers.
Proceedings of the IEEE Sensors Applications Symposium, 2019


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