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Check out our poster at #ICLR2025 today and learn more about #LLMs for Time Series!

It was a honor being part of #ICLR2025 OC! Even though I couldn’t make it to the conference.

Improving Deep Learning With a Little Help From Physics: UC San Diego Assoc Professor Rose Yu makes #AI better, faster & smarter. bit.ly/3YCYF6v @JSOE  @quantamag #PhysicsGuidedAI #DeepLearning

Secretary Marco Rubio This is the most moronic self goal ever. U do realize those students will simply go elsewhere (including China) & still be awesome & still drive innovation.

How can we integrate physical laws into AI? 🧠⚙️ On June 4, join Rose Yu (Rose Yu) of UC San Diego for a Distinctive Voices talk on Physics-Guided AI—a framework that fuses #physics with machine learning to boost accuracy, efficiency & insight. Register: ow.ly/A1RK50VWAug

Excited to speak at NAS tonight!

I’m happy to share that I’m starting a new position as Amazon Scholar at Amazon!

When and why are neural network solutions connected by low-loss paths? In our #ICML2025 paper, we show that mode connectivity often arises from symmetries—transformations of parameters that leave the network’s output unchanged. Paper: arxiv.org/abs/2505.23681 (1/6)