Stéphane Mallat
All AI mindsAI advancement report · generated from Stéphane Mallat's indicators
Stéphane Mallat — full AI read
Stéphane Mallat — Professor, Collège de France; Chair of Data Sciences, Collège de France / ENS Paris (France) — ranks #417/520 on the AI Advancement Index (64.0). Known for Wavelet theory; scattering transforms providing a mathematical model of convolutional networks; harmonic analysis of deep learning. Strongest on Research influence (82.0, Strong).
Role
Professor, Collège de France; Chair of Data Sciences
Affiliation
Collège de France / ENS Paris
Country
France
Field
Theory & foundations
Known for
Wavelet theory; scattering transforms providing a mathematical model of convolutional networks; harmonic analysis of deep learning
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Stéphane Mallat sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 64.0 | Developing · #417/520 | Low here — lower relative influence within this elite set. ▲ high: among the very top minds advancing AI · ▼ low: lower relative influence within this elite set |
| Research influence Research influence | 82.0 | Strong · #124/520 | High here — field-defining research contributions. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 45.0 | Lagging · #482/520 | Low here — removed from frontier development. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 64.0 | Moderate · #281/520 | Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 70.0 | Moderate · #238/520 | Mid-pack. High would mean builds the field — mentorship, institutions, tools, community; low would mean limited field-building footprint. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 58.0 | Lagging · #501/520 | Low here — less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- Research influence (82.0, Strong) — field-defining research contributions.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.