Who's Who of AI

Shahab Bakhtiari

272 trust researcher @shahabbakht.bsky.social · 6,395 followers
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Researcher with public evidence across AI research.

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|| assistant prof at University of Montreal || leading the systems neuroscience and AI lab (SNAIL: https://www.snailab.ca/) 🐌 || associate academic member of Mila (Quebec AI Institute) || #NeuroAI || vision and learning in brains and machines
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↻ Shahab Bakhtiari reposted
Amir-massoud Farahmand @sologen.bsky.social

Temporal Difference Learning for Diffusion Models (ICML 2026) arxiv.org/abs/2606.15048 By Yangchen Pan (my former PhD student) and co-authors. It reformulates diffusion training as a Markov reward process and introduces a TD objective to encourage temporal consistency across d…

Temporal Difference Learning for Diffusion Models arxiv.org
AI Weekly's analysis →
  • The paper introduces a temporal difference objective that penalises inconsistency across the full denoising trajectory rather than only at adjacent time steps.
  • It reframes diffusion as a Markov reward process and denoising as a policy evaluation problem, unifying discrete-time and continuous-time formulations.
  • Reported FID gains are strongest when the number of sampling steps is small, the regime where few-step samplers and low-compute serving live.
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Astra’s most striking leap across several fronts (eg robotic control) boils down to spatial intelligence. I used to think genuine spatial understanding was impossible for language models without physical real-world interaction. Well … Astra proved that wrong or it's far more than just a mere LLM

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