Coming back here to confirm that the exam was difficult, but I am sure I nailed the question on Tweedie's 🫡
13.12.2024 03:02 — 👍 6 🔁 0 💬 0 📌 0
Hi Dr. Milanfar, I saw your post right before my course final exam. I was struggling to understand the formula during lecture, but this post really helped me wrap my head around the intuition behind diffusion. Thank you for posting this!
12.12.2024 23:04 — 👍 1 🔁 0 💬 1 📌 0
The Ubiquitous Knowledge Processing Lab researches Natural Language Processing (#NLProc) with a strong emphasis on Large Language Models, Conversational AI & Question Answering | @cs-tudarmstadt.bsky.social · @TUDa.bsky.social
https://www.ukp.tu-darmstadt
PhD candidate at UCSD. Prev: NVIDIA, Meta AI, UC Berkeley, DTU. I like robots 🤖, plants 🪴, and they/them pronouns 🏳️🌈
https://www.nicklashansen.com
Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA.
Prev: @jura.bsky.social, PhD with Debora Marks
Website: alannawzadamin.github.io
Assistant Professor@PurdueCS | PhD@Cornell | Probabilistic machine learning, Bayesian deep learning, Sampling, MCMC
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
🤖 Machine Learning & 🌊 Simulation | 📺 YouTuber | 🧑🎓 PhD student @ Thuerey Group
Post-doc @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and
@GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604
Interested in how computers can learn and see.
LLMs and ratings at lmarena.ai
Esports stuff for fun:
https://cthorrez.github.io/riix/riix.html
https://huggingface.co/datasets/EsportsBench/EsportsBench
www.lukaschaefer.com
Researcher @msftresearch.bsky.social; working on autonomous agents in video games; PhD Univ of Edinburgh ; Ex Huawei Noah’s Ark Lab, Dematic; Young researcher HLF 2022
Research Scientist studying MARL, LLMs, and AI Agents
PhD student at Mila / McGill. Studying distributional RL for transfer across risk-sensitive utilities, and for long-horizon high-frequency decision-making.
Sakana AI is an AI R&D company based in Tokyo, Japan. 🗼🧠
https://sakana.ai/careers
Associate prof, MIT EECS/CSAIL 💻🔬🦥🧀🏋️♀️🎼🐈🎻🏳️🌈 he/him/his
Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Machine learning prof at U Toronto. Working on evals and AGI governance.
Associate Professor at Polytechnique Montreal and Mila.
