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Authors: Aarav Nirmal, Sumedh Sai and Ayush Singhal Adviser: Zitai Xu Program: Do Quantum Presented at the ... Finding minimum energy structures of molecules has far-reaching applications to fields across the sciences. Molecular mechanics ... Muon is fundamentally changing how we approach large-scale deep learning In today's heavily overparameterized models, the value of the training loss provides few guarantees on model generalization ... To try this awesome whiteboard: [Free whiteboard] ... Project page: Abstract: Autonomous high-fidelity object reconstruction is fundamental for ...
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Geometry Optimization Isn't As Simple As You Think...
Geometry-Aware Neural Rendering
The Muon Optimizer: How Newton-Schulz Enables 2x Faster LLM Training (AdamW Killer?)
PAPER EXPLAINED Sharpness-Aware Minimization for Efficiently Improving Generalization
"Optimizer Geometry in Modern Deep Learning" – Zhiyuan Li, Research at TTIC
Conflict Entropy Minimization Algorithm (CEMA) A Geometry-Aware for Early Infeasibility Detection
This Simple Optimizer Is Revolutionizing How We Train AI [Muon]
Muon Optimizer for Dense Linear Layer Explained | Newton-Schulz + Momentum
ObjSplat: Geometry-Aware Gaussian Surfelsfor Active Object Reconstruction
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Last Updated: June 8, 2026
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