Robin Geens

According to our database, Robin Geens authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency.

Robin Geens, Jonas De Schouwer, Marian Verhelst, Thierry Tambe

CoRR, April, 2026

MONET: Modeling and Optimization of neural NEtwork Training from Edge to Data Centers.

Jérémy Morlier, Robin Geens, Stef Cuyckens, Arne Symons, Marian Verhelst, Vincent Gripon, Mathieu Léonardon

CoRR, March, 2026

Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration.

Stef Cuyckens, Xiaoling Yi, Robin Geens, Joren Dumoulin, Martin Wiesner, Chao Fang, Marian Verhelst

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Hardware-Centric Analysis of DeepSeek's Multi-Head Latent Attention.

Robin Geens, Marian Verhelst

CoRR, June, 2025

Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format.

Chao Fang, Man Shi, Robin Geens, Arne Symons, Zhongfeng Wang, Marian Verhelst

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration.

Robin Geens, Arne Symons, Marian Verhelst

Proceedings of the 34th International Conference on Parallel Architectures and Compilation Techniques, 2025

2024

Energy Cost Modelling for Optimizing Large Language Model Inference on Hardware Accelerators.

Robin Geens, Man Shi, Arne Symons, Chao Fang, Marian Verhelst

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024