LMU Munich
Also listed as 3 other names
LMU · LMU Munich & Munich Center for Machine Learning (MCML) · LMU Munich and Munich Center for Machine Learning
Circuit mix
Where LMU Munich 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 science67%3 events
- Research33%2 events
The year around now
Conferences where LMU Munich 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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| useR! (The R User Conference) | ||||||||
| ACL (Annual Meeting of the Association for Computational Linguistics) | ||||||||
| posit::conf (formerly rstudio::conf) |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2024.
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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- useR! (The R User Conference)last sponsored 2024; the conference ran again in 2025–26
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Appsilon | 1 | 100% |
| b-data | 1 | 100% |
| Boehringer Ingelheim | 1 | 100% |
| cynkra GmbH | 1 | 100% |
| GermanTechJobs | 1 | 100% |
| Johnson & Johnson | 1 | 100% |
| Jumping Rivers | 1 | 100% |
| Opifex | 1 | 100% |
| Posit | 1 | 100% |
| Quantargo | 1 | 100% |
| Quintik - Technologies | 1 | 100% |
| R Consortium | 1 | 100% |
| Raiffeisen Bank International | 1 | 100% |
| RCONIS | 1 | 100% |
| Roche | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| useR! 2024 | Jul 8–11, 2024 | Salzburg, Austria | Hosts | Other |
Speakers 11
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Cynthia Huang | posit::conf(2026) | speaker | Reusing 'ggplot2' code: how to design better plot helper functions | — |
| Cynthia Huang | useR! 2026 | speaker | Reusing 'ggplot2' code: how to design better plot helper functions | — |
| Jan Simson | useR! 2026 | poster | peRsian: A collection of Color Palettes from Persian Carpets | — |
| Maximilian Mücke | useR! 2026 | lightning | bbk: Accessing Central Bank Data in R | — |
| Maximilian Mücke | useR! 2026 | speaker | mlr3forecast: Extending mlr3 to time series forecasting | — |
| Barbara Plank | ACL 2026 (64th Annual Meeting of the ACL) | keynote | ACL 2026 Presidential Address | — |
| Barbara Plank | ACL 2024 (62nd Annual Meeting of the ACL) | keynote | Are LLMs Narrowing Our Horizon? Let’s Embrace Variation in NLP! | — |
| Lennart Schneider | useR! 2024 | speaker | Mlr3mbo: Modern and Flexible Bayesian Optimization | — |
| Marc Becker | useR! 2024 | speaker | Mlr3summary: Concise and Interpretable Summaries for Machine Learning Models | — |
| Sebastian Fischer | useR! 2024 | speaker | Mlr3torch - Deep Learning in R | — |
| Susanne Dandl | useR! 2024 | speaker | Mlr3summary: Concise and Interpretable Summaries for Machine Learning Models | — |