Senior Lecturer (US equiv Assoc Prof) in Machine Learning @ANUComputing. Previously @Sydney_Uni, @Uber AI and @CambridgeMLG
Joined June 2020
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At #NeurIPS2025 presenting 2 papers:
Rao-Blackwellised Reparameterisation Gradients with a rising star @kevinhflam, George Deligiannidis, and @yeewhye
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited with the inimitable Michalis Titsias
Thang Bui retweeted
I'm so happy to share that I’ll be joining @UofT as an Assistant Professor of Statistical Sciences and Computer Science, with an appointment at the @VectorInst, in 2026!
I'm recruiting postdocs and PhD students: timrudner.com!
Please help me spread the word!
🧵(1/5)
Indeed! now accepted at TMLR openreview.net/forum?id=L33D…. Also check out Titsias’ concurrent paper.
A similar satellite event for AU/South+ East Asia would be awesome. Shorter travels/cheaper accommodations/potentially increased participation! Happy to chat about it if anyone is keen.
Collegues in Europe are running this poll about #NeurIPS2025 participation. If in Europe, highly recommended to participate.
Thang Bui retweeted
Announcing 2x Research Fellows positions on NLP and machine learning, working w wonderful Jing Jiang, Thang Bui and myself + partners in Data61 - apply by 31 Dec or help spread the words
jobs.anu.edu.au/jobs/researc…
more detail in thread
Thang Bui retweeted
Thank you @vincefort @markvanderwilk @EmtiyazKhan for organising this great @dagstuhl workshop!
dagstuhl.de/24461
Kudos to two rising stars Jack and Charlie! Also check out the 5-min video: youtube.com/watch?v=--RAHz68…
🚨Paper alert! Grokking Beyond Neural Networks has just been published at TMLR.
openreview.net/forum?id=ux9B…
Thang Bui retweeted
Check out this outstanding work from some of the best people I know, fellow @universe_tbd ers and the best co-convenor in the Universe!
Great stuff, @jackm2003 @oneill_c @thdbui. Keep grokking!
We have recently written a new paper on grokking: arxiv.org/abs/2310.17247. We show that the phenomenon is not limited to neural networks, this motivates a new hypothesis which seeks to explain it.
See the thread below for more details.
@thdbui and @oneill_c.
Grounded explanation of grokking based on the datafit-complexity trade off.
With two fantastic undergrads (!!) @jackm2003 and @oneill_c
More ⬇️
We have recently written a new paper on grokking: arxiv.org/abs/2310.17247. We show that the phenomenon is not limited to neural networks, this motivates a new hypothesis which seeks to explain it.
See the thread below for more details.
@thdbui and @oneill_c.
Thang Bui retweeted
Absolutely thrilled to announce 🚀 AstroLLaMa from @universe_tbd! Introducing our specialized Llama-2 models tailored for astronomers 🌌. This is just the beginning! But our tests already show extraordinary text generation and embeddings for astronomy!💫
arxiv.org/abs/2309.06126
Thang Bui retweeted
Happy to announce the release of a new language model, AstroLLaMA. Joint work with the amazing @TingAstro, @errai34 and many amazing collaborators @universe_tbd.
arxiv.org/abs/2309.06126
1/n
📄 Fresh paper out, led by an awesome undergrad 🌟! We dove into a strategy using classifier guidance & negative prompting to spread word tokens, moving them from the 'mundane' zone 🔄. Result? More creativity in hypothesis without losing clarity! 💡
arxiv.org/abs/2308.07645
Personal news: I have joined @ANUComputing and my family recently relocated from Sydney to Canberra. Big talking point: my wife has been told her PhD candidature at a university^* in Sydney would be suspended because of this move!
Thang Bui retweeted
Are you an ML research engineer interested in principled approaches to deep learning and/or Bayesian learning? Are you interested in joining a dynamic, kind and friendly team working on cutting edge research? If so, please apply @DeepMind London office! boards.greenhouse.io/deepmin…