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Want to improve samples from your deep generative model? New work from my PhD student Abdul Fatir shows we can refine samples via gradient flows. Appearing at #ICLR2021. clear-nus.github.io/project/dgflow

2 weeks in review: 2 deadlines missed. 2 ICRA papers accepted. 2 grant proposals approved. 1 paper and 1 grant proposal submitted. 7 reviews written. But the highlight was spending some quality time with my little cutie-pie.

As NeurIPS Conference #NeurIPS2021 deadline approaches, I've consolidated some technical writing tips. Succinct answers to each of the questions, Voila, you have a crisp Introduction! Expand on prior work, intuition/tech details, & expts for the rest ensuring the why is always clear

Looking for Postdocs and Research Assistants for projects in assistive robots and human-robot/AI collaboration. If you are interested, take a look at our website (clear-nus.github.io) and send me an email with your CV and research interests.

Excited to share our #NeurIPS2021 paper "Deep Explicit Duration Switching Models for Time Series"! We propose a non-linear switching state space model for improved modeling of state-dependent and time-dependent switching dynamics in time series data.

I'm wondering how GPT 4 will perform as a human model for HRI. GPT 3.5 already works surprisingly well (with some limitations) arxiv.org/abs/2303.03548

Elated to announce that our paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series" got accepted at ICML 2023 for ✨oral✨ presentation. Congratulations to my amazing co-authors Alvin Heng, Andre and Harold Soh!

Congrats to Fatir and the team for their brilliant work on effective continuous-discrete state space models! We started this in Aug 2021 and it's a fantastic outcome. Thank you also to the AC who managed the review process and dug into the work. arxiv.org/abs/2301.11308

Looking for an Research Assistant interested in working at the intersection of robot navigation and communication. We'll be working with a quadruped robot in crowded environments. If you are keen, contact me with your CV. #research #researchopportunity #jobalert #clearlab

What a week! Started with a trip to Korea to present an Early Career talk at R:SS'23. Then a red-eye flight back to Singapore to celebrate commencement with my first two PhD students Yaqi Xie and Abdulfatir, along with the successful thesis defence of #3, Sreejith!

Neurips 2023 preliminary reviews are out.

Alvin showcased his 🌟spotlight 🌟work on enabling models like Stable Diffusion to selectively forget. It's a step towards AI model governance. Wish I could've been there! 🤖🧠 #NeurIPS #AI #MachineLearning #ResearchHighlight Paper: arxiv.org/abs/2305.10120

CLeAR Alum, Fatir Abdul Fatir in action at NeurIPS showing off his awesome "missed-out Spotlight" work! 😂 #NeurIPS #CLeARAlum #UndercoverSpotlight Paper: arxiv.org/abs/2307.11494

Congrats Harold Soh - standing room only for a super keynote #ICRA2024 - he's making Generative Models really work for Robot Learning and is optimistic about the future!

Will be at the Safe-HRI Workshop at R:SS'24 to share our work on incorporating safety and norms when sampling from diffusion models. Join us at 4pm at ME C - Bernoulli Workshop: sites.google.com/view/safe-hri/

🌟 Great talk by Tas on GRaCE at R:SS! GRaCE translates rankings over criteria (e.g. stability, safety, functionality) into a expected utility function and optimizes using a blend of gradient and gradient-free approaches. 🔗 Learn more: clear-nus.github.io/blog/grace #Robotics #AI

I'm thrilled to share that Tasbolat Taunyazov has successfully passed his viva with his dissertation "Grasp, Feel, Act: Towards Object Manipulation using Vision and Touch"! Congratulations, Tasbolat, on this well-deserved achievement! 🎉 #Robotics #VisionAndTouch #NUS

Congrats to Jamie Wang and the CLeAR Lab team for topping the AI leaderboard at Earth Rover Challenge 2025! Still behind humans but we're closing the gap with real progress. More soon on the method and system!