📈 Optimization - saeedesmaili · Scour

Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway

🧠Neural Networks Academic

Predictive Coding with Bayesian Priors via Proximal Gradients

🧠Neural Networks Academic

Cross-Epoch Adaptive Rollout Optimization for RL Post-Training

🎮Reinforcement Learning Academic

Fourier fractal dimension to predict the generalization of deep neural networks

🤖Machine Learning Academic

The Spectral Dynamics and Noise Geometry of Muon

🤖Machine Learning Academic

On the conditional equivalence of phase retrieval algorithms

🧠Transformers Academic

Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling

🤖AI Agents Academic

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

🤖Machine Learning Academic

A Theory on Flow Matching with Neural Networks

🧠Neural Networks Academic

Learning Dynamics Reveal a Hierarchy of Weight-Induced Layerwise Gram Metrics

🤖LLM Academic

Constrained Paraphrase Consistency for LLM Hallucination Detection

🧠Transformers Academic

Real-Time and Accurate Collision-Free Teleoperation via Differentiable Constraint-Based Trajectory Planning

🦾Robotics Academic

PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training

🤖LLM Academic

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

🤖Machine Learning Academic

Structured Adaptive Tensor Prediction for Streaming Data

🧠Neural Networks Academic

Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders

🤖LLM Academic

Reinforcement Learning for Flow-Matching Policies with Density Transport

🎮Reinforcement Learning Academic

Characterizing Learning Dynamics under Relative Reparameterization of Singular Models

🎮Reinforcement Learning Academic

Closed-Form Spectral Regularization for Multi-Task Model Merging

🔥PyTorch Academic

Adaptive directional gradients for parameterised quantum circuits

🎯Fine-tuning Academic

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