Bo Zhao
@BoZhao__
CS PhD student at UC San Diego
📢 We're thrilled to announce that the UniReps workshop will return to @NeurIPSConf 25 for its 3rd edition! 🔵Check our new Call for Papers at: unireps.org/2025/call-for-… 🔴Submit your work (Proceedings or Extended Abstracts) at: openreview.net/group?id=NeurI… See you in San Diego!🌴🇺🇸
🔬 Excited to announce our ICLR 2025 Workshop on *Weight Space Learning*! Applying deep learning to model weights could revolutionize how we develop, analyze & manipulate NNs. Submit by Feb 10 In-person @ Singapore + remote options @iclr_conf #ICLR2025 weight-space-learning.github.io
What can we learn from neural network model weights? Join us for the Weight Space Learning Workshop at #ICLR2025! @iclr_conf 📄Accepting extended abstracts & full papers 🗓️Submission Deadline: Feb 4, 2025 🔗weight-space-learning.github.io
📢 ⏰ Deadline Alert! ⏰ Only 10 days left to submit your abstracts for the 19th Women in Machine Learning Workshop at #NeurIPS2024! 👩💻 Don't miss this amazing opportunity to share your research! Submit now: tinyurl.com/wiml2024cfp #womenintech #WiML #MachineLearning
Excited to share our latest paper on symmetries in neural network parameters! #ICLR2024 Oral: Wed 10:00am, Halle A 2 Poster: Wed 10:45am-12:45pm, Halle B #206 Disappointed that I can’t join in person due to visa issues, but thrilled that @RobinSFWalters will represent our work!
How does symmetry in #NeuralNetworks parameters impact learning? Check out our #ICLR2024 🔥spotlight🔥 paper on ``Improving Convergence and Generalization using Parameter Symmetries'' Paper: openreview.net/pdf?id=L0r0Gph… (1/3)
How to design Diffusion Models for spatiotemporal forecasting? Check out our #NeurIPS2023 Paper on ``DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting''! Paper: arxiv.org/abs/2306.01984 Code: github.com/Rose-STL-Lab/d… (1/3)
Many local minima in Deep Networks are connected through low-loss valleys. Curious about the theoretical origin of such valleys? Check out our #ICLR2023 Paper on #symmetry, local minima and conserved quantities. Paper: openreview.net/pdf?id=9ZpciCO… (1/3)
How can #symmetry help optimization in #DeepLearning? Check out our #NeurIPS2022 paper on ``Symmetry Teleportation for Accelerated Optimization''. Paper: arxiv.org/abs/2205.10637 (1/3)