Both sides previous revision
Previous revision
Next revision
|
Previous revision
Next revision
Both sides next revision
|
members:tomani [2024/04/18 19:08] Christian Tomani |
members:tomani [2024/04/18 19:28] Christian Tomani |
Find me on [[https://www.linkedin.com/in/christiantomani/ |Linkedin]] and [[https://scholar.google.com/citations?hl=de&user=gfRxpTUAAAAJ |Google Scholar]]. | Find me on [[https://www.linkedin.com/in/christiantomani/ |Linkedin]] and [[https://scholar.google.com/citations?hl=de&user=gfRxpTUAAAAJ |Google Scholar]]. |
| |
I am a PhD student at the Technical University of Munich at the Chair for Computer Vision and Artificial Intelligence headed by [[:members:cremers|Prof. Daniel Cremers]]. I received my Master's degree from TUM and my Bachelor's degree from Technical University Graz and studied as well as conducted research at University of Oxford, University of California Berkeley and University of Agder. I worked at Google, Meta and Siemens as a research intern. | I am a PhD student at the Technical University of Munich at the Chair of [[:members:cremers|Prof. Daniel Cremers]]. I received my Master's degree from TUM and my Bachelor's degree from Technical University Graz and studied as well as conducted research at University of Oxford, University of California Berkeley and University of Agder. I worked at Google, Meta and Siemens as a research intern. |
| |
| |
My work covers a large spectrum of Machine Learning and Deep Learning topics. Projects of mine include reliable, reasoning-based, safe and uncertainty aware models for in domain, domain shift and out of domain (OOD) scenarios; Natural Language Processing (NLP) and Large Language Models (LLMs); investigating reasoning capabilities and developing reliable LLMs; Computer Vision (CV); Time Series Data Analysis with supervised and self-supervised learning algorithms; Recurrent Neural Networks (RNNs) and Transformer architectures; attribution maps; designing learning algorithms for generalization; etc. | My work covers a large spectrum of Machine Learning and Deep Learning topics. Projects of mine include reliable, reasoning-based, safe and uncertainty aware models for in domain, domain shift and out of domain (OOD) scenarios; Natural Language Processing (NLP) and Large Language Models (LLMs); investigating reasoning capabilities and developing reliable LLMs; Computer Vision (CV); Time Series Data Analysis with supervised and self-supervised learning algorithms; Recurrent Neural Networks (RNNs) and Transformer architectures; attribution maps; designing learning algorithms for generalization; etc. |
| |
I am looking for motivated as well as talented students. If you are interested please contact me directly via email and highlight your relevant academic experience and programming skills. Additionally, please include a CV and a recent transcript. | |
| |
==== Publications ==== | ==== Publications ==== |