Ismini Lourentzou @Ismini_L
Director, PLAN Lab @iSchoolUI · NeurIPS'26 & ICML'26 Organizing Committee · GenAI, VLMs, Embodied AI, robots 🤖 | PhD @illinoisCDS 🇬🇷 https://t.co/i6SwwVvUwK isminoula.github.io United States Joined September 2013-
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#NeurIPS2026 reviews drop soon, and I can already feel my browser muscle memory kicking in. Sending good vibes to everyone refreshing the portal 💙
🧩 Code is out for Part²GS (#CVPR2026)! 📑 plan-lab.github.io/part2gs 💻 github.com/PLAN-Lab/Part2… Work led by @Tianjiao_Yu 👏 Physically consistent articulation for 3D Gaussian objects via: 🧠 Part embeddings: per-Gaussian IDs discover parts 🧲 Repel points: a repulsion field keeps parts from colliding as they move ⚙️ Physical constraints: contact + velocity keep each part's motion rigid & coherent → up to 10× lower Chamfer Distance on movable parts
🎥 My @Voxel51 Best of CVPR talk is now on YouTube! I presented Phantom, our #CVPR2026 work on physics-aware video generation: two parallel latent flow-matching branches (video + physics) that guide each other so motion obeys physics. Plus some of our follow-up work 👇 ▶️ youtube.com/watch?v=Rr1UAc…
🌐 plan-lab.github.io/cogniroute 📄 arxiv.org/abs/2606.20970 Led by @SivanShen 👏 with Pei Tian, @xinzhuo_li, Bowen Fang, Shujun Xia, Bingxuan Li, Ana Jojic, @wenmingye, @IrohXu, @RehgJim. PLAN Lab @ UIUC. 🧵4/4
We also curate OmniSocialBench: 118K social video QA examples with schema labels and temporal evidence spans. 🧵3/4
Supervised tuning aligns expert routing with a cognitive schema (modality relation, reasoning type, temporal scope), then reinforcement learning rewards the answer and the routing together. 🧵2/4
Omni models often answer social questions by leaning on the wrong modality or reading the wrong moment in the clip. CogniRoute trains MoE routing to follow the evidence, which modality to trust, and when the cue occurs. +15.3 pts over the best closed-source model on social video QA 🧵1/4
🤗 MOCHA's training set is now open-source! MOCHA tests whether code LLMs remain safe when faced with multi-turn malicious coding prompts (EMNLP 2025 Findings) and was built as part of the first Amazon Nova AI Challenge (2025). The training data is now public for anyone building safer code models 👇 huggingface.co/datasets/PLAN-… aclanthology.org/2025.findings-… Led by @ImMuntasir 🎉 (now at Google DeepMind)
Bumping this for anyone writing an NSF CAREER this cycle. Best of luck to everyone submitting this year! 🤞 calendly.com/lourent2-illin… 🔜 Office hours for PhD applications will be posted in September.
It's been an incredible year, with wonderful collaborators and a CAREER award I'm grateful for. I got a lot of feedback on mine, so I want to do the same for others. Opening office hours for faculty writing/thinking about #NSFCAREER proposals. Bring a draft, questions, or just
🎥 Presenting our #CVPR2026 paper Phantom at @Voxel51's 𝗕𝗲𝘀𝘁 𝗼𝗳 𝗖𝗩𝗣𝗥 tomorrow morning, July 9, at 9 AM PT voxel51.com/events/best-of… Open to all and virtual, join us! 👻 Phantom consists of two parallel latent flow-matching branches, video and physics: physics cues guide visual generation, and visual evidence refines physics reasoning. Work led by @YingShen_ys 👏
🚀 Excited that our #CVPR2026 work 𝐏𝐇𝐀𝐍𝐓𝐎𝐌 will be featured in the Voxel51 𝐁𝐞𝐬𝐭 𝐨𝐟 𝐂𝐕𝐏𝐑 𝐬𝐞𝐫𝐢𝐞𝐬 on July 9! 𝐏𝐇𝐀𝐍𝐓𝐎𝐌: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics linkedin.com/feed/update/ur… Great work by
In ~1 hour at #ICML2026 🇰🇷 👋 Come by and chat with @onkar_s_13 about UniDFlow and his fantastic first PhD year at PLAN Lab with 3 first-author papers (PyraTok and RewardFlow at @CVPR and UniDFlow at @icmlconf) 🎉 📍Hall A · Poster #3817 · 10:30 AM – 12:15 PM KST UniDFlow is a collaboration with Google, supported by the Google TPU Research Cloud program 🙏
At #ICML2026 in Seoul? Visit our UniDFlow @icmlconf poster tomorrow👇 📍 Hall A · Poster #3817 🗓 Wed Jul 8· AM – PM KST 🌐 plan-lab.github.io/unidflow 🤗 huggingface.co/papers/2602.12… A unified discrete flow model for T2I generation, image understanding, and reasoning-based editing, state-of-the-art across all three with 3× fewer parameters than baselines. Led by @onkar_s_13 👏 A PLAN Lab × Sony Research India × Google × UT Austin × IIT Roorkee collaboration 💫
☕Today at @icmlconf: LaTtE-Flow, ~6× faster inference. Layerwise Timestep Experts make diffusion/flow-based transformers more efficient. Work led by @YingShen_ys and @zhiyangx11 👏 📍 Hall A #2612, 10:30 AM KST 🤗 huggingface.co/papers/2506.06…
Two posters from my group and collaborators at #ICML2026 🇰🇷 📍 LaTtE-Flow (~6x faster inference): Tue 7/7, 10:30 AM – 12:15 PM KST, Hall A #2612 📍 UniDFlow (3x fewer params, SOTA on generation, understanding, editing): Wed 7/8, 10:30 AM – 12:15 PM KST, Hall A #3817 Will not attend @icmlconf this year, but @onkar_s_13 and @dhjang10 will be there! Stop by 👋
🤖 🧭 How does a robot know how far along it is in a long task? Most VLA policies cannot explicitly track task progress, which is why they are often brittle in long-horizon, multi-step tasks. PALM (#CVPR2026) makes the policy progress-aware, coupling future affordance prediction with continuous progress estimation in a closed loop. Our code and model checkpoints are released 👇
🤖 Code and model checkpoints are out for PALM, our #CVPR2026 work on long-horizon robot manipulation. Work led by Yuanzhe Liu @ PLAN Lab👏 🧵1/4👇
@plopesresearch Thank you, appreciate it!
It's been an incredible year, with wonderful collaborators and a CAREER award I'm grateful for. I got a lot of feedback on mine, so I want to do the same for others. Opening office hours for faculty writing/thinking about #NSFCAREER proposals. Bring a draft, questions, or just chat. calendly.com/lourent2-illin… Happy to share tips and give honest feedback.
@CSProfKGD Thank you @CSProfKGD! Just trying to help the same way many great colleagues have helped me!
Small note: the calendar is set up in 30-minute slots. For a longer meeting, please feel free to book two consecutive slots. You are also welcome to schedule follow-up conversations as needed.
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