Hiroki Furuta

@frt03_

Research Scientist at @GoogleDeepMind / PhD from The University of Tokyo @Matsuo_Lab / AI Agent / Video Generation / Diffusion RL / Deep RL

frt03.github.io

Joined August 2018

360 Following

1,043 Followers

Replies Reposts Media

Hiroki Furuta
@frt03_
Aug 26
今年の #NeurIPS で世界モデル🌎️とロボティクス🤖に関するワークショップを開催します！締切は8/29 AOEです。Short paperとLong paperのどちらも受け付けているので、是非投稿をご検討ください
Kuang-Huei Lee
@kuanghueilee
Aug 3
📣 Announcing the Workshop on Robot Learning with World Models at NeurIPS 2026! 📋 We’re calling for lpapers and demo/networking proposals. ⏰ Deadline: Aug 29, 2026 AoE 🌐 Website: robowm-ws.github.io
Hiroki Furuta
@frt03_
Aug 4
We are organizing Workshop on Robot Learning with World Models at NeurIPS 2026🌎️ Please consider submitting your work!
Kuang-Huei Lee
@kuanghueilee
Aug 3
📣 Announcing the Workshop on Robot Learning with World Models at NeurIPS 2026! 📋 We’re calling for lpapers and demo/networking proposals. ⏰ Deadline: Aug 29, 2026 AoE 🌐 Website: robowm-ws.github.io
Hiroki Furuta
@frt03_
May 20
事後学習に関わったGemini Omniが公開されました🎉 国際的な素晴らしいチームに貢献できたのは貴重な経験でしたテキストからの動画生成や動画編集など、様々な方法で利用可能です！是非試してみてください
Google DeepMind
@GoogleDeepMind
May 19
We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video. It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵
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Hiroki Furuta
@frt03_
Sep 19, 2025
東大松尾・岩澤研 D1の峰岸さんと大島さんの論文がそれぞれ #NeurIPS2025 に採択されました🎉 DeepSeek-R1などの推論モデルに関する分析と動画拡散モデルの推論時アラインメントについての論文です！個人的には、外部の研究指導でですが、Google DeepMind, Tokyo team所属で初の論文になります
Hiroki Furuta
@frt03_
Sep 19, 2025
Two papers are accepted at #NeurIPS2025 🎉 (1) Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties arxiv.org/abs/2506.05744 (2) Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search arxiv.org/abs/2501.19252
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Hiroki Furuta
@frt03_
Sep 19, 2025
Two papers are accepted at #NeurIPS2025 🎉 (1) Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties arxiv.org/abs/2506.05744 (2) Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search arxiv.org/abs/2501.19252
arxiv.org
Topology of Reasoning: Understanding Large Reasoning Models...
Recent large-scale reasoning models have achieved state-of-the-art performance on challenging mathematical benchmarks, yet the internal mechanisms underlying their success remain poorly...
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