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🎓 Thrilled to announce I'll be joining @gtcomputing as an ML PhD student this fall, working with Prof. @badityap! Until then, continuing my research journey at @LTIatCMU with Professors @daphneipp and @MaartenSap. [1/2]
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Arjun Choudhry
115 posts
Arjun Choudhry
@Arjun_7m
1st Year ML PhD @GeorgiaTech. Previously: @AutonLab @SCSatCMU, @UTSAAII, @UQAM, @dtu_delhi. Interests: Multimodal FMs, Time Series, Efficiency
Atlanta, GA Sumali Temmuz 2018
1.8K Sinusundan295 Mga Tagasunod
@Marty_FTT @keeetzo Step counting, elevation and flights of stairs has been horrible in Apple Watch, in my experience, compared to Garmin and Pixel Watch 3. Garmin is definitely the best, Pixel Watch is close behind. Whether on a stairmaster or regular stairs, Apple Watch always underestimates a lot
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🎙 Had a blast chatting with @azulgarza_ w/ @nixtlainc, @mmencherogarcia, and Faranak, about time series foundation models on the latest episode of the International Institute of Forecasters, Forecasting Impact podcast! 💥
buzzsprout.com/1641538/154337…
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Arjun Choudhry nag-retweet
Excited to share I have joined CMU’s Robotics Institute as a Master’s student! The past few months were tough with visa uncertainties, but I’m happy to be finally here 😇
I look forward to working on native visual reasoning + other cool RL and VLM stuff 🚀
If you’re around campus, let’s hang out!
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Grateful to Dr. @MononitoGoswami, Prof. Artur Dubrawski, and the amazing @AutonLab team for their incredible support along the way. Excited for what's ahead! 🚀 [2/2]
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🎓 Thrilled to announce I'll be joining @gtcomputing as an ML PhD student this fall, working with Prof. @badityap! Until then, continuing my research journey at @LTIatCMU with Professors @daphneipp and @MaartenSap. [1/2]
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Arjun Choudhry nag-retweet
🚀 Excited to share that MOMENT has been downloaded 1.3M+ times on HuggingFace, with over 280K downloads in just the last month!
MOMENT is the BERT for time series. It can solve many tasks across different domains, including healthcare! Best part? It's completely open source!
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Heartiest congratulations to our amazing team!
I am applying for PhD positions for Fall 2025. If you see a fit with your lab or interests, or just want to brainstorm on ideas, please DM :)
Mononito Goswami@MononitoGoswami
Huge congratulations to my amazing collaborators Yifu Cai, @Arjun_7m, and Dr. Artur Dubrawski at @AutonLab @CMU_Robotics, @SCSatCMU
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Excited to share TimeSeriesExam for systematic evaluation of time series reasoning capabilities of LLMs. Think your LLM can reason on time series concepts? Take it for a spin on the TimeSeriesExam! Now publicly available on HuggingFace :)
Mononito Goswami@MononitoGoswami
Frontier models like Gemini excel in areas like code and image understanding. But how well do they handle time series reasoning? (Re-)Introducing TimeSeriesExam, which just won the NeurIPS'24 TSALM Best Paper Honorable Mention🏆
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Arjun Choudhry nag-retweet
Huge congratulations to my amazing collaborators Yifu Cai, @Arjun_7m, and Dr. Artur Dubrawski at @AutonLab @CMU_Robotics, @SCSatCMU
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Arjun Choudhry nag-retweet
Frontier models like Gemini excel in areas like code and image understanding. But how well do they handle time series reasoning?
(Re-)Introducing TimeSeriesExam, which just won the NeurIPS'24 TSALM Best Paper Honorable Mention🏆
Google DeepMind@GoogleDeepMind
The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in @GeminiApp on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in @Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖 goo.gle/gemini-2
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Arjun Choudhry nag-retweet
Also my awesome collaborators and mentees, @Arjun_7m and @inverse_hessian are looking for PhD positions. If you are looking for students with experience in multimodal foundation models, efficiency, mechanistic interpretability, I don’t know of anyone better than them!
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Arjun Choudhry nag-retweet
@zacharylipton Super interesting! Even some recent work on clinical time series foundation models (trained on PPG / EEG), don't seem to be significantly better than general ones e.g. our model MOMENT
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Arjun Choudhry nag-retweet
Time Series & Language: A Powerful Pair 📈📉
Loved seeing some recent work time series & text work! It reminded me of our very own work JoLT, one of the first time series and text models !
Want to learn more? Check out JoLT, and our latest paper, on the TimeSeriesExam!
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Arjun Choudhry nag-retweet
Arjun Choudhry nag-retweet
On the occasion of reaching 14k downloads and 200 stars for Moment 1, we are excited to release all our research code! The repository contains the necessary code to reproduce all experiments and models.
github.com/moment-timeser…
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Arjun Choudhry nag-retweet
We loved building MOMENT-- one pre-trained model for many time series tasks. Have you tried it on your dataset yet?
📜: arxiv.org/abs/2402.03885
🧑💻: github.com/moment-timeser…
🏋️: huggingface.co/AutonLab/MOMEN…
CMU Robotics Institute@CMU_Robotics
The Auton Lab has proposed MOMENT: one of the first families of open-source foundation models for time series analysis! The models serve as a building block for diverse tasks such as forecasting, classification, & anomaly detection. Learn more: …timeseries-foundation-model.github.io
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Arjun Choudhry nag-retweet
MOMENT, a recently released family of foundation models, aims to tackle time series forecasting, classification, and more; @nikos_kafritsas explains how it works, unpacks its architecture, and compares its performance to other state-of-the-art models. buff.ly/3xRrKka
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Arjun Choudhry nag-retweet
We are thrilled to announce that our paper "MOMENT: A Family of Open Time-series Foundation Models" has been accepted for the ICML 2024! On this occasion, we are open-sourcing it, together with the model weights and dataset!
Links to everything in the thread! 🧵🤗
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