Chandar Lab

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Chandar Lab

Chandar Lab

@ChandarLab

Sarath Chandar's research group at @polymtl, @UMontreal and @Mila_Quebec focusing on Machine Learning!

Montréal, Québec, Canada Inscrit le Haziran 2021
70 Abonnements610 Abonnés
Chandar Lab
Chandar Lab@ChandarLab·
We're thrilled to see the Workshop on Weight-Space Symmetries coming to #ICML2026! Huge shoutout to our postdoc @KateLobacheva for co-organizing it. We're excited for the ideas and discussions this workshop will bring to the community!
Weight Space Symmetries @ ICML 2026@weightsymmetry

📢Excited to announce the Workshop on Weight-Space Symmetries @icmlconf! We welcome 4-page submissions analysing symmetries, their effects on training and model structure, and practical methods to utilize them. Submission Deadline: April 24 (23:59 AoE) #ICML2026

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Chandar Lab
Chandar Lab@ChandarLab·
5/ This changes what engineering work looks like. Less: - writing every line manually More: - structuring problems - defining constraints - validating outputs The model accelerates execution, but only within the system you design.
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Chandar Lab
Chandar Lab@ChandarLab·
4/ The loop is where reliability comes from You don’t rely on a single generation. You: - generate - execute - observe failures - feed that back in The system converges through this iteration, observed every once in a while by you!
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Chandar Lab
Chandar Lab@ChandarLab·
Quoting this from Aidan, who presented this as a talk to the lab last Friday. If you think LLMs are unreliable for coding, this is the missing piece: reliability comes from how you structure the work around the model. The article lays this out very concretely. 🧵↓
Aidan Li@aidanmrli

I wrote an article on agentic coding for beginners after my talk at @apsarathchandar @ChandarLab group. We cover history of AI coding tools, the importance of model harnesses, and general principles in simple research workflows. Feedback is very welcome! aidanli.dev/writing/articl…

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Aidan Li
Aidan Li@aidanmrli·
I wrote an article on agentic coding for beginners after my talk at @apsarathchandar @ChandarLab group. We cover history of AI coding tools, the importance of model harnesses, and general principles in simple research workflows. Feedback is very welcome! aidanli.dev/writing/articl…
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Chandar Lab
Chandar Lab@ChandarLab·
🔥 This was the first work to show that you can successfully use adaptive gradient optimizers for lifelong learning and still beat SGD!!! (i.e. RMSProp < SGD < TAG-RMSProp) 🔥 Across benchmarks, TAG also improved final accuracy over baselines like ER and A-GEM.
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Chandar Lab
Chandar Lab@ChandarLab·
In lifelong learning, continuously learning new tasks can cause ML models to forget previously acquired knowledge. For this, our lab introduced TAG (Task-based Accumulated Gradients): a general wrapper on top of adaptive gradient optimizers. 📈
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Abdelrahman Zayed
Abdelrahman Zayed@AbdelZayed1·
I am attending EACL in Morocco! If you are going and want to chat, please let me know! I will present SafeSearch: a reinforcement learning approach for safe LLM agents, proposed by @AmazonScience's amazing intern @ZhanQiusi1 and our great team! Paper📄: lnkd.in/e342i9WK
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Chandar Lab
Chandar Lab@ChandarLab·
As we hope for women to strive in research every year more than the last, we encourage all of them to apply to our lab for internships, Master’s or PhD degrees with @apsarathchandar
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Chandar Lab
Chandar Lab@ChandarLab·
The Chandar Research Lab remains committed to supporting women and other underrepresented communities @Mila_Quebec and in ML with initiatives such as the graduate application assistance program or a Computer Science summer school for high school students goint to undergrad.👩‍🔬
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Chandar Lab
Chandar Lab@ChandarLab·
This week, as we celebrated International Women’s Right Day for the 115th time on Sunday, the Chandar Lab wanted to pay tribute to all the amazing women doing research👩‍🎓, and to highlight the cutting-edge work they do at our lab everyday...🧵
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@KateLobacheva @apsarathchandar @pranshumalviya8 @ravi_iitm @AmazonScience @ZhanQiusi1 @Mila_Quebec @elonmusk