KIlian Kluge
Employers on the program
- 2023Inlinity1 talk
- 2022XAI-Studio & Inlinity AI1 talk
Events2
Conferences1
Talks2
Years active2022–2023
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Apr 17, 2023 | PyCon DE & PyData Berlin 2023 | PyData | talk | Grokking Anchors: Uncovering What a Machine-Learning Model Relies On as Inlinity Assessing the robustness of models is an essential step in developing machine-learning systems. To determine if a model is sound, it often helps to know which…Show lessAssessing the robustness of models is an essential step in developing machine-learning systems. To determine if a model is sound, it often helps to know which and how many input features its output hinges on. | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | talk | Grokking LIME: How can we explain why an image classifier "knows" what’s in a photo without looking inside the model? as XAI-Studio & Inlinity AI How can LIME explain machine-learning models without peeking inside? Let's find out! |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alejandro Saucedo | 2 | — | 2023 |
| Aleksander Molak | 2 | — | 2023 |
| Alexander CS Hendorf | 2 | — | 2023 |
| Antoine Toubhans | 2 | — | 2023 |
| Cheuk Ting Ho | 2 | — | 2023 |
| Christian Bourjau | 2 | — | 2023 |
| Emeli Dral | 2 | — | 2023 |
| Florian Wilhelm | 2 | — | 2023 |
| Guido Imperiale | 2 | — | 2023 |
| Joris Van den Bossche | 2 | — | 2023 |
| Jürgen Gmach | 2 | — | 2023 |
| Larissa Haas | 2 | — | 2023 |
| Marianne Stecklina | 2 | — | 2023 |
| Martin Christen | 2 | — | 2023 |
| Maxim Danilov | 2 | — | 2023 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.