Search Results for author: Tristan Torchet

Found 3 papers, 0 papers with code

Quantizing Small-Scale State-Space Models for Edge AI

no code implementations14 Jun 2025 Leo Zhao, Tristan Torchet, Melika Payvand, Laura Kriener, Filippo Moro

State-space models (SSMs) have recently gained attention in deep learning for their ability to efficiently model long-range dependencies, making them promising candidates for edge-AI applications.

Quantization State Space Models

MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units

no code implementations13 May 2025 Sebastian Billaudelle, Laura Kriener, Filippo Moro, Tristan Torchet, Melika Payvand

We introduce a streamlined and hardware-compatible architecture based on minimal gated recurrent units (GRUs), and an accompanying efficient mixed-signal hardware implementation of the model.

Edge-computing

Core interface optimization for multi-core neuromorphic processors

no code implementations8 Aug 2023 Zhe Su, Hyunjung Hwang, Tristan Torchet, Giacomo Indiveri

In particular the core interface that manages inter-core spike communication is a crucial component as it represents the bottleneck of Power-Performance-Area (PPA) especially for the arbitration architecture and the routing memory.

Edge-computing

Cannot find the paper you are looking for? You can Submit a new open access paper.