Tabitha Edith Lee @TabulaRobot
Postdoc at @UMontreal & @Mila_Quebec in causal learning for robots and embodied AI. Prior stops at @CMU_Robotics, @nvidia, LM Space ATC, & Uber ATG. tabula-rosa.github.io Montréal, QC Joined November 2019-
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Tabitha Edith Lee retweeted
We are extending the paper submission deadline to August 18, 2025. Submit your latest work on resource-rational robot learning to our workshop! Details + updated speaker lineup:: rational-robots.github.io Don’t miss our exciting panel discussion!
We are extending the paper submission deadline to August 18, 2025. Submit your latest work on resource-rational robot learning to our workshop! Details + updated speaker lineup:: rational-robots.github.io Don’t miss our exciting panel discussion!
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Tabitha Edith Lee retweeted
@RL_Conference will be in Montréal next year at @UMontreal. We are looking forward to welcoming you all! Bienvenue!
Tabitha Edith Lee retweeted
Finally, a good modern book on causality for ML: causalai-book.net by @eliasbareinboim. This looks like a worthy successor to the ground breaking book by @yudapearl which I read in grad school. (h/t @JoshuaSafyan for the ref).
Tabitha Edith Lee retweeted
Is "scaling is all you need" the right path for robotics? Announcing our @corl_conf workshop on "Resource-Rational Robot Learning", where we will explore how to build efficient intelligent systems that learn & thrive under real-world constraints. Submission deadline: Aug 8 🧵
Tabitha Edith Lee retweeted
🚨 We’re thrilled to announce our NeurIPS 2025 workshop: CausCien: Uncovering Causality in Science 🔍✨ We’re uniting ML + science communities to explore how causal learning advances: 🌿 Ecology 🧬 Biology 📊 Social Science & more! 📝 Submit by Aug 22 👉 sites.google.com/view/causcien
Tabitha Edith Lee retweeted
I am hiring another postdoc for my lab. Consider applying if you have #foundationalmodels, #robotics, or #reinforcementlearning skills. You will help create generalist real-world agents (robots) with a team of 20 working on these problems and overly competitive go-karting.
Tabitha Edith Lee retweeted
I had a wonderful time visiting @GTrobotics to present my work on "Planning What to Learn". Thank you @MatthewGombolay for inviting. @core_robotics is doing fantastic inter-disciplinary work on robot skill learning, multi-agent RL and HRI. Slides @ tinyurl.com/ykphcwt9
Tabitha Edith Lee retweeted
OpenAI's Sora has reignited discussions on causal reasoning in today's ML systems. Seems a binary divide: do they have causal reasoning/a world model? Or not? But reality is much more complicated. Here's a 🧵summarizing last year's research on generative models and causality.
Thank you so much @talkingrobotics (Riddhi, Nitin, @srjkrish, & @si_tulli) for inviting me to talk about our work in SCALE and causal skill learning as a part of Talking Robotics #71! I'm so grateful for the opportunity, and it was a blast! 🤖
Thanks so much for the wonderful opportunity to share our work! Looking forward to it! 🤖
Thanks so much for the wonderful opportunity to share our work! Looking forward to it! 🤖
Tabitha Edith Lee retweeted
Are you interested in exploring how causal learning and reasoning can be used to improve human-robot interaction? Just three more weeks to submit your work to Causal-HRI at @HRI_Conference 2024! 🤖 Paper Deadline: February 2 Poster Deadline: February 16
Are you interested in exploring how causal learning and reasoning can be used to improve human-robot interaction? Just three more weeks to submit your work to Causal-HRI at @HRI_Conference 2024! 🤖 Paper Deadline: February 2 Poster Deadline: February 16 https://t.co/SRkyu8QOv4
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