Aleksander Molak
Employers on the program
- 2023CausalPython.io / Lespire.io1 talk
- 2023Lesprie.io1 talk
- 2022Tensorcell1 talk
- 2022Ironscales1 talk
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 1, 2023 | PyData NYC 2023 | PyData | speaker | The Causal Toolbox: A Practical Guide to Causality in Python (For The Perplexed) as Lesprie.io With an average of 3.2 new papers published on Arxiv every day in 2022, causal inference has exploded in popularity, attracting large amount of talent and…Show lessWith an average of 3.2 new papers published on Arxiv every day in 2022, causal inference has exploded in popularity, attracting large amount of talent and interest from top researchers and institutions including industry giants like Amazon or Microsoft. | Video |
| Apr 17, 2023 | PyCon DE & PyData Berlin 2023 | PyData | tutorial | The Battle of Giants: Causality vs NLP => From Theory to Practice as CausalPython.io / Lespire.io With an average of 3.2 new papers published on Arxiv every day in 2022, causal inference has exploded in popularity, attracting large amount of talent and…Show lessWith an average of 3.2 new papers published on Arxiv every day in 2022, causal inference has exploded in popularity, attracting large amount of talent and interest from top researchers and institutions including industry giants like Amazon or Microsoft. | |
| Dec 13, 2022 | PyData Tel Aviv 2022 | PyData | talk | The Tale of Flexibility - Generalized Average for Hyperparameter Tuning and Pooling as Ironscales From summarizing distributions to pooling operators and measuring the goodness of fit, averaging plays a unique and universally recognized role in the field of…Show lessFrom summarizing distributions to pooling operators and measuring the goodness of fit, averaging plays a unique and universally recognized role in the field of machine learning. | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | tutorial | Practical graph neural networks in Python with TensorFlow and Spektral as Tensorcell Practical Graph Neural Networks (GNNs) with Spektral & TensorFlow 🤩 |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alexander CS Hendorf | 3 | — | 2023 |
| Cheuk Ting Ho | 3 | — | 2023 |
| Alejandro Saucedo | 2 | — | 2023 |
| Antoine Toubhans | 2 | — | 2023 |
| Christian Bourjau | 2 | — | 2023 |
| Emeli Dral | 2 | — | 2023 |
| Erin Mikail Staples | 2 | — | 2023 |
| Florian Wilhelm | 2 | — | 2023 |
| Guido Imperiale | 2 | — | 2023 |
| Ines Montani | 2 | — | 2023 |
| Joris Van den Bossche | 2 | — | 2023 |
| Jürgen Gmach | 2 | — | 2023 |
| KIlian Kluge | 2 | — | 2023 |
| Larissa Haas | 2 | — | 2023 |
| Marianne Stecklina | 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.