We are looking for a PhD in Interpretable Machine Learning and Explainable AI Universität München. Apply now at join.com/companies/uni-…! Explainable AI #PhD #XAI #MachineLearning #Statistics #ExplainableAI #DataScience #InterpretableML

We have another opening for a PhD in AutoML Universität München. Apply now at job-portal.lmu.de/jobposting/ba1… #PhD #MachineLearning #Statistics #DataScience #AutoML

The #MCML offers fully funded #PhD positions in any field of research within the domains of machine learning! The Online Application System is open from 15 October 2024 until 14 November 2024! The position starts on 1 July 2025 Further information: mcml.ai/opportunities/…

The #ELLISPhD application portal is now open! Apply to top #AI labs & supervisors in Europe with a single application, and choose from different areas & tracks. The call for applications: ellis.eu/news/ellis-phd… Deadline: 15 November 2024 #PhD #PhDProgram #MachineLearning #ML

Our paper: **A Dual-Perspective Approach to Evaluating Feature Attribution Methods** with yawei.li.the_unique Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, SLDS / Bernd Bischl , Mina Rezaei from Munich Center for Machine Learning has been accepted at TMLR

I deleted my entire digital footprint. You can too. Here's how I did it:

OpenAI o1 system card openai.com/index/openai-o…

The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here: drive.google.com/file/d/1eLa3y2…

My book is (at last) out, just in time for Christmas! A blog post to celebrate and present it: francisbach.com/my-book-is-out/

A happy author discovering the first hard copies

I'm happy to post course materials for my class at UC Berkeley "Robots that Learn", taught with the outstanding assistance of Toru. Lecture videos at youtube.com/playlist?list=… Lecture notes & other course materials at robots-that-learn.github.io

Stanford's "Mathematical Methods for Computer Vision, Robotics, and Graphics" PDF: graphics.stanford.edu/courses/cs205a… Video Lectures: youtube.com/playlist?list=… (repost, added video link)

📢 Friendly Reminder: Our PhD program at the Konrad Zuse School of Excellence in Reliable AI (relAI) is still accepting applications! Apply here: zuseschoolrelai.de/application Check out our report to read about relAI from the perspective of a PhD student: zuseschoolrelai.de/wp-content/upl…

this is your periodic reminder that statistics is cool af

Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Link to full Report: assets.publishing.service.gov.uk/media/679a0c48… 1/16

Writing good reviews and rebuttals is a key skill in academic research. Unfortunately, this skill is rarely properly taught within PhD programs and with growing unhappiness about the quality of reviews, I feel it’s worth sharing some lessons I learned: davidstutz.de/HsKBh

I am always activately looking for talented, passionate and hardworking students to work/collaborate/mentor with. Anyone interested, feel free to sign up here: forms.gle/oJPLR2pLTt8kLC…

Hiring two student researchers for Gemma post-training team at Google DeepMind Paris! First topic is about diversity in RL for LLMs (merging, generalization, exploration & creativity), second is about distillation (with Nino Vieillard). Ideal if you're finishing PhD. DMs open!

I'm expanding my MIT formal verification research efforts, so if you're a Harvard researcher working in this area and caught up in the recent F1/J1 situation, please email me to see if I can help.

Good time to remind ourselves that: If a paper is great, the credit goes to the first author. If a paper has any flaws, the responsibility falls on the last author.