Inria
Also listed as 4 other names
INRIA · Inria / Ecole Polytechnique · Inria Saclay · Inria Saclay / Ecole polytechnique
Circuit mix
Where Inria shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science41%7 events
- Research30%6 events
- AI engineering & MLOps11%3 events
- Postgres & open-source databases7%2 events
- Software engineering7%2 events
- Vendor flagships & roadshows4%1 event
The year around now
Conferences where Inria sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Gold
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 2
First sponsored in 2025 or later.
- Compute!first sponsored 2026, Gold
- NeurIPS (Conference on Neural Information Processing Systems)first sponsored 2026, Platinum
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- ISWC (International Semantic Web Conference)last sponsored 2019; the conference ran again in 2020, 2022–23 and 2025–26
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- JupyterCononce, 2023, Gold
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- KTH Royal Institute of Technology0.80
- EPFL0.77
- Picnic0.76
- Man Group0.75
- The Institute for Ethical AI & Machine Learning0.75
- University of Edinburgh0.75
- Explosion0.74
- ETH Zurich0.74
17 Cluster: PyData · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 6 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Capital Fund Management | 4 | 67% |
| Probabl | 4 | 67% |
| Stat4decision | 4 | 67% |
| Systematic Paris-Region | 4 | 67% |
| PyLadies Paris | 3 | 50% |
| Safran | 3 | 50% |
| Amazon Web Services | 2 | 33% |
| Bloomberg | 2 | 33% |
| CODRA | 2 | 33% |
| 2 | 33% | |
| IBM | 2 | 33% |
| Netflix | 2 | 33% |
| Qube Research & Technologies | 2 | 33% |
| SCAI | 2 | 33% |
| Springer Nature | 2 | 33% |
Neighborhood: companies with nearby conference footprints
Inria (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 6
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Platinum | Platinum |
| Compute! Paris 2026 | Nov 25–26, 2026 | Paris, France | Gold | Gold |
| PyData Paris 2025 | Sep 30, 2025 – Oct 2, 2025 | Paris, France | Gold | Gold |
| PyData Paris 2024 | Sep 25–27, 2024 | Paris, France | Gold | Gold |
| JupyterCon 2023 | May 10–12, 2023 | Paris, France | Gold | Gold |
| ISWC 2019 | Oct 26–30, 2019 | Auckland, New Zealand | Other | Other |
Speakers 29
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Marcus Denker | Compute! Paris 2026 | speaker | Pharo: a Live Environment Where Code, Data, and Model Are One | — |
| Matthieu Noel | Compute! Paris 2026 | speaker | EasyFEA: accessible and high-performance FEM in Python — from mesh generation to MPI-parallel simulations | — |
| Riccardo Cappuzzo | Compute! Paris 2026 | speaker | Building an ML pipeline for churn prediction with skrub Data Ops | — |
| Ludovic Courtès | FOSDEM 2026 | speaker | Package management in the hands of users: dream and reality | Slides · Video |
| Gaël Varoquaux | dotAI 2025 | speaker | — | — |
| Antoine Collas | PyData Paris 2025 | talk | Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation | Video |
| Jérôme Dockès | PyData Paris 2025 | talk | Skrub: machine learning for dataframes | Video |
| Riccardo Cappuzzo | PyData Paris 2025 | talk | Skrub: machine learning for dataframes | Video |
| Ioana Manolescu | ISWC 2024 | keynote | Retrieve (and Leverage) the Inner Graph Behind the Data | — |
| Gaël Varoquaux | dotAI 2024 | speaker | Skrub: Less data wrangling, more machine learning | — |
| Cordelia Schmid | CVPR 2024 | panelist | CVPR: past, present, and future | — |
| Julia Lawall | QCon London 2024 | speaker | Opening the Box: Diagnosing Operating-System Task-Scheduler Behavior on Highly Multicore Machines | — |
| Julia Lawall | QCon London 2024 | panelist | Panel: What Does the Future of Computing Look Like | — |
| Ioana Manolescu | Sixteenth LDBC TUC Meeting | speaker | Integrating Connection Search in Graph Queries | Slides · Video |
| Jovan Stojanovic | JupyterCon 2023 | speaker | Machine learning with dirty tables: encoding, joining and deduplicating | — |
| Loïc Estève | JupyterCon 2023 | speaker | Leveraging the Jupyter ecosystem to create and run the "Machine Learning in Python with scikit-learn" massive open online course | — |
| Olivier Grisel | JupyterCon 2023 | tutorial | Predictive survival analysis and competing risk modeling with scikit-learn, scikit-survival, lifelines, Ibis, and DuckDB | — |
| Vincent Maladiere | JupyterCon 2023 | tutorial | Predictive survival analysis and competing risk modeling with scikit-learn, scikit-survival, lifelines, Ibis, and DuckDB | — |
| Julien Jerphanion | EuroPython 2022 | talk | Scaling scikit-learn: introducing new sets of computational routines | — |
| Guillaume Lemaitre | PyCon DE & PyData Berlin 2022 | tutorial | Inpsect and try to interpret your scikit-learn machine-learning models | — |
| Gaël Varoquaux | Ray Summit 2020 | keynote | Easier Machine Learning Thoughts From Scikit-Learn | — |
| Julia Lawall | QCon London 2020 | speaker | Coccinelle: 10 Years of Automated Evolution in the Linux Kernel | Video |
| Ludovic Courtès | FOSDEM 2020 | speaker | Towards reproducible Jupyter notebooks | Slides · Video |
| Jérôme Euzenat | ISWC 2019 | keynote | For knowledge | — |
| Gaël Varoquaux | Spark + AI Summit Europe 2019 | keynote | — | — |
| Gael Varoquaux | EuroPython 2019 | talk | Machine learning on non curated data | Video |
| Olivier Grisel | EuroPython 2019 | talk | Histogram-based Gradient Boosting in scikit-learn 0.21 | — |
| Pierre Glaser | EuroPython 2019 | talk | Parallel computing in Python: Current state and recent advances | Video |
| Ioana Manolescu | EDBT/ICDT 2019 | keynote | Journalistic Dataspaces: Data Management for Journalism and Fact-Checking | — |