

Sohan Rudra
416 posts

@rudrasohan
Figuring out life from Intuitions to Equations PhD @CS_TUDarmstadt || Researcher @googleAI 21-23 || Mathematics & Computing @IITKgp 21







Excited to be in Korea almost a year after being away from conferences. Now I come back for two conferences #CoRL2025 and #Humanoids2025 with a small guest 👶 While on maternity leave my amazing team continued progress on Structured Robot Learning! Here is a list of the activities of PEARL group at @corl_conf: 1. Today, Saturday Sept. 27 I will give a talk at the corl25-genpriors.github.io talking about Beyond Scale: Structured Priors for Efficient Robot Learning at 11:25. Join me to get a glimpse at the newest cool research from the pearl-lab.com 2. I’ll also be at the panel of the same workshop at 15:25! Looking forward to the fruitful discussions. 3. Also today,Vignesh @FatAndFurious42 will present our new work on extracting Bimanual Affordances from Human Videos (sites.google.com/view/2handedaf…) at the sites.google.com/view/h2r-corl2… and sites.google.com/stanford.edu/c… 4. While Frankie @FrankieZhang41 will present our new work on “Adaptive Diffusion Constrained Sampling for Bimanual Robot Manipulation” (…fusion-constrained-sampling.github.io) at the rational-robots.github.io 5. Tomorrow Sept 28, Steven @softraeh will present SYMDEX: Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation supersglzc.github.io/projects/symde…. Catch him at Spotlight 2 & Poster session 1. We have more to present at the Humanoids conference, so stay tuned!






📢Scaling test-time compute via generative verification (GenRM) is an emerging paradigm and shown to be more efficient than self-consistency (SC) for reasoning. But, such claims are misleading☠️ Our compute-matched analysis shows that SC outperforms GenRM across most budgets! 🧵








#EMNLP2024 Best Paper 1/5: An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance






