Very excited that our work (together with my PhD student @gbarto.bsky.social and our collaborator Dmitry Vetrov) was recognized with a Best Paper Award at #AABI2025!
#ML #SDE #Diffusion #GenAI 🤖🧠
Congratulations to the #AABI2025 Proceedings Track Best Paper Award recipients!
Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!
We concluded #AABI2025 with a panel discussion on
**The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI**
Thanks to Emtiyaz Khan, Luhuan Wu, and @jamesrequeima.bsky.social for participating!
.@jamesrequeima.bsky.social gave the third invited talk of the day at #AABI2025!
**LLM Processes**
Have you thought that in computer memory model weights are given in terms of discrete values in any case. Thus, why not do probabilistic inference on the discrete (quantized) parameters. @trappmartin.bsky.social is presenting our work at #AABI2025 today. [1/3]
I'm now at NTU to attend #AABI2025
First talk of the afternoon by
James Requeima.
Luhuan Wu is giving the second invited talk of the day at #AABI2025!
**Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data**
Watch it on our livestream: timrudner.com/aabi2025!
Emtiyaz Khan is giving the first invited talk of the day at #AABI2025!
We just kicked off #AABI2025 at NTU in Singapore!
We're livestreaming the talks here: timrudner.com/aabi2025!
Schedule: approximateinference.org/schedule/
#ICLR2025 #ProbabilisticML
Arriving in Singapore this afternoon 🛬 I'll attend #ICLR2025, #AABI2025, and #AISTATS2025 together with many of my students and collaborators to present our 2 orals, 5 posters, and 14 workshop contributions 🚀
Feel free to drop by!
10/10
Read the full paper #AABI2025 Proceedings Track!
Work by @chengkunli.bsky.social, @abacabadabacaba.bsky.social, Petrus Mikkola, & yours truly.
📜 Paper: arxiv.org/abs/2504.11554
💻 Code: github.com/acerbilab/no...
📄 Overview: acerbilab.github.io/normalizing-...
Let us know what you think!
1/10🔥 New paper alert in #AABI2025 Proceedings!
Normalizing Flow Regression (NFR) — an offline Bayesian inference method.
What if you could get a full posterior using *only* the evaluations you *already* have, maybe from optimization runs?
Attending #ICLR2025 and #AABI2025. Presenting at the conference and workshops:
1. E-Valuating Classifier Two-Sample Tests, Friday, Hall 3 + Hall 2B #437
2. SDE Matching, Sunday-Tuesday, FPI/DeLTa/AABI
openreview.net/forum?id=dwF...
arxiv.org/abs/2502.02472
lmk if you want to chat!
Make sure to get your tickets to #AABI2025 if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic ML, inference, and decision-making!
Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org
#ProbabilisticML #Bayes #UQ #ICLR2025 #AABI2025
Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making!
Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org
#Bayes #MachineLearning #ICLR2025 #AABI2025