Denis Tarasov

37 posts

Denis Tarasov

Denis Tarasov

@ML_is_overhyped

Master student and researcher at ETH Zurich. Ex Meta, InstaDeep, JetBrains, Yandex, Tinkoff.

Katılım Şubat 2022
178 Takip Edilen178 Takipçiler
Denis Tarasov retweetledi
Albina Klepach
Albina Klepach@_cinemere·
🤩Excited to share our #AAAI2026 Oral on #EmbodiedAI: How can robots learn from noisy, unlabeled videos—like those on the internet—without action labels? Our new work, Object-Centric Latent Action Learning, tackles exactly this. Thread ↓
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Denis Tarasov
Denis Tarasov@ML_is_overhyped·
Don’t want to spam your feeds, but I’m incredibly thankful to the AI community for all the feedback and support on my last tweet. I didn’t expect so many responses -- really happy to be part of such a brilliant community. Thank you so, so much!
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Denis Tarasov
Denis Tarasov@ML_is_overhyped·
I’m asking for help. I was meant to start my PhD with @_rockt and @robertarail at UCL, but my UK background check was refused. My appeal seems unlikely to succeed, so I’m urgently searching for any PhD or research positions in academia or industry. Any help is appreciated.
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Denis Tarasov
Denis Tarasov@ML_is_overhyped·
@sarsanaee @_rockt @robertarail Yes, that's ATAS. They do not provide any reasons but most likely it is due to the combination of my research area and nationality (I know other people with the same issue who didn't get ATAS). I can't reapply for 3 months. Was waiting for their decision 6 months
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Ryan
Ryan@sarsanaee·
@ML_is_overhyped @_rockt @robertarail It is ATAS, isn’t? Did they provide any reasons? I know cases in which reapplying helped. Crack on with your research at your current institution, keep calm, and looking.
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Denis Tarasov
Denis Tarasov@ML_is_overhyped·
Meet NinA — Normalizing flows in Action. We tried a simple idea: replace diffusion decoders in VLA models with normalizing flows. 🧵
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Denis Tarasov
Denis Tarasov@ML_is_overhyped·
🧠 We believe offline ICRL should actually do RL. Our results show that reward-aware training improves many crucial aspects of ICRL. Check out the paper here: arxiv.org/abs/2502.17666
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Denis Tarasov
Denis Tarasov@ML_is_overhyped·
LLMs are amazing because they can learn in context — read, adapt, and act. Can we do the same for reinforcement learning? That’s the promise of In-Context RL (ICRL). But existing offline ICRL methods don’t even optimize rewards. Our new paper shows why RL matters 🧵
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