Weronika Ormaniec

Is equivariance necessary for a good 3D molecule generative model? Check out our #icml2025 paper, which closes the performance gap between non-equivariant and equivariant diffusion models via rotational alignment, while also being more efficient (1/7): arxiv.org/abs/2506.10186

We are delighted to introduce you to our next ML in PL Conference 2025 Speaker: Federico Tombari @fedassa! Federico Tombari is Research Director at @Google, leading Computer Vision and Machine Learning teams across North America and Europe. His team has contributed CV/ML…

📣 Calling all ML researchers, students and professionals: ML in PL Conference 2025 is now accepting submissions for talks, posters, and tutorials. We’re accepting submissions across a wide range of machine learning topics, including (but not limited to): - Core ML &…

A string may get 17 times less probability if tokenised as two symbols (e.g., ⟨he, llo⟩) than as one (e.g., ⟨hello⟩)—by an LM trained from scratch in each situation! Our #acl2025nlp paper proposes an observational method to estimate this causal effect! Longer thread soon!

We are thrilled to announce that Antonio, a leading researcher in deep learning and optimization, will be joining us as a speaker at the ML in PL 2025 Conference! Antonio studied Control Engineering in Italy and Switzerland. He holds a PhD in Computer Science from ETH Zürich…