Victor J. B. Jung

According to our database, Victor J. B. Jung authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs.

Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Victor J. B. Jung, Moritz Scherer, Matteo Antonio Scrugli, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Paolo Meloni, Luca Benini

IEEE Trans. Biomed. Circuits Syst., June, 2024

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

Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini

CoRR, 2024

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

Philip Wiese, Gamze Islamoglu, Moritz Scherer, Luka Macan, Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini

CoRR, 2024

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

Victor J. B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini

CoRR, 2024

A Noisy Beat is Worth 16 Words: a Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers.

Paola Busia, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni

CoRR, 2024

Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.

Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

2023

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers.

Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators.

Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023