Vaisakh Shaj🏳️‍🌈

123 posts

Vaisakh Shaj🏳️‍🌈

Vaisakh Shaj🏳️‍🌈

@vaisakhsshaj

Postdoc at @EdinburghUni | PhD @KitKarlsruhe | Attempting to formalise (probabilistically) machine learning under non-stationarity... He/Him.

Edinburgh, Scotland Beigetreten Nisan 2010
340 Folgt148 Follower
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Vaisakh Shaj🏳️‍🌈
Vaisakh Shaj🏳️‍🌈@vaisakhsshaj·
I'm super excited about this PhD work of mine, "Multi Time Scale World Models", which has been accepted to Neurips 2023 as a spotlight (Top 3% of all submitted papers). Details are in the thread below. (1/6)
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The Nobel Prize
The Nobel Prize@NobelPrize·
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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Skyroot Aerospace
Skyroot Aerospace@SkyrootA·
We pay homage to the pioneering spirit of astronaut #KalpanaChawla whose legacy of courage and determination lives on to inspire generations around the world, on her birthday. She is the inspiration behind our first of its kind Kalpana Fellowship for women engineers. Apply Now - applications closing soon! Visit kalpanafellowship.com #KalpanaSpaceFellowship
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QueerInAI
QueerInAI@QueerinAI·
Queer in AI needs monetary support to help with our scholarship programs and event organization. If your company is interested in sponsoring us, please fill in this form here: form.jotform.com/240142870629052. For more details on sponsoring, please see here: queerinai.com/sponsoring
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Tanishq Mathew Abraham, Ph.D.
Tanishq Mathew Abraham, Ph.D.@iScienceLuvr·
Are you wondering how the new Mamba language model works? Mamba is based on state-space models (SSMs), a new competitor to the Transformer architecture. Here are 5 resources to help you learn about SSMs & Mamba! ↓↓↓
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CoLLAs 2026
CoLLAs 2026@CoLLAs_Conf·
The third international Conference on Lifelong Learning Agents (CoLLAs) will happen in Pisa, Italy from 29 July to 01 Aug 2024 (right after ICML in Europe!). Abstract deadline: 09 Feb 2024 Submission deadline: 15 Feb 2024 Full CFP: lifelong-ml.cc/Conferences/20…
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Vaisakh Shaj🏳️‍🌈
Vaisakh Shaj🏳️‍🌈@vaisakhsshaj·
It was a pleasure and honour to talk today at the MILA Robot Learning Seminar about our latest work on Hierarchical World Models... 🌏Thank you for the opportunity @MontrealRobots @GlenBerseth @duckietown_coo @RajeswarSai 🙂 Please find the recording here youtube.com/watch?v=vWRtZw…
YouTube video
YouTube
REAL - Robotics and Embodied AI Lab@MontrealRobots

Hello everyone! Tomorrow we are excited to have @vaisakhsshaj from @KITKarlsruhe presenting at the robot learning seminar (11:30am EST). See you there! @MontrealRobotics" target="_blank" rel="nofollow noopener">youtube.com/@MontrealRobot#robotics #machinelearning #worldmodels

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Ning Gao
Ning Gao@gaobaoding·
📢Interested in 6D pose estimation of novel objects w/o mesh models and gt-masks from clutter scenes? 🤖Check out our #CORL2023 paper "SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects"🎉 🌐sites.google.com/view/sa6d @Bosch_AI @alr_lab_kit @corl_conf
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Autonomous Learning Robots Lab
Autonomous Learning Robots Lab@alr_lab_kit·
Excited to share 4 accepted NeurIPS papers from our team. Amazing work and congratz to the team! Looking forward to seeing everyone in New Orleans :)
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Vaisakh Shaj🏳️‍🌈
Vaisakh Shaj🏳️‍🌈@vaisakhsshaj·
The paper will be available on openreview.net in the next few days with a source code. Last but not least many thanks to my supervisor Prof Gerhard Neumann @geri_neumann and colleagues at @alr_lab_kit for their incredible support over the years of my Ph.D. 🙂 (6/6)
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Vaisakh Shaj🏳️‍🌈
Vaisakh Shaj🏳️‍🌈@vaisakhsshaj·
If you are working in the areas of multi-task/continual learning, long-horizon predictions and control/planning, this paper would be interesting to you. (5/6)
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Vaisakh Shaj🏳️‍🌈
Vaisakh Shaj🏳️‍🌈@vaisakhsshaj·
I'm super excited about this PhD work of mine, "Multi Time Scale World Models", which has been accepted to Neurips 2023 as a spotlight (Top 3% of all submitted papers). Details are in the thread below. (1/6)
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