If you're at ICLR and want to chat about amortised inference/neural processes or probabilistic ML more broadly, swing by my poster between 10:30-13:00 on Thursday (poster session 1) in Pavilion 3 at location #206. The poster is about NP-style learning in BNNs to find good priors.
Tommy Rochussen
@rochussen.bsky.social
Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning. sheev13.github.io
I’m pleased to share that our latest paper, “Amortising Inference and Meta-Learning Priors in Neural Networks”, has been accepted to ICLR 2026 in Rio!
Very pleased to share that our new paper “Sparse Gaussian Neural Processes” has been accepted under the proceedings track at AABI 2025! 🎉 (1/n)
I've seen things you people wouldn't believe. Attacks from reviewers on fire off the shoulders of #OpenReview. I watched logic fallacies glitter in the dark near @iclr-conf.bsky.social All those moments will be lost in time, like tears in the next resubmission. Time to die. #ML #Ai #PhDlife