Scholar
Matteo Saponati
Google Scholar ID: kF4valcAAAAJ
Postdoctoral Researcher, Institute of Neuroinformatics, ETH Zurich
Citations & Impact
Citations
91
H-index
4
i10-index
2
Publications
9
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. A project finetuning an LLM on trippy mathematical reasoning (using RTX 2080 cards); 2. Research showing that bidirectional and autoregressive training induces symmetric and directional self-attention matrices, which can be leveraged for performance improvements; 3. Programming mixed-signal devices on-chip with feedback control.
Research Experience
- 1. Experiments with LLMs; 2. Works on 'efficient and exotic hardware' that implements neural computations using analog circuits; 3. Developed a novel feedback control algorithm for on-chip training of mixed-signal neuromorphic chips in 2024.
Education
- PhD in Neuroinformatics with a thesis on synaptic plasticity and predictive processes in biological and artificial networks.
Background
- A research scientist in Machine Learning and Neuromorphic Computing. Fascinated by life and intelligence, enjoys studying complex systems. Loves to play music and dance.
Miscellany
- Values human connections and open communication, sees himself as a human being going through life with the help of these.
Co-authors