🧠 Neural Networks - jhcha.oyo · Scour

Closed-Form Spectral Regularization for Multi-Task Model Merging

📈Optimization Academic

Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks

🤖AI Academic

Finite Element-Based Material Learning via Automatic Differentiation: Learning constitutive neural network models from full-field deformation data

🤖AI Academic

Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning

🤖AI Academic

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

🤖Machine Learning Academic

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

🤖AI Academic

nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies

🤖AI Academic

Characterizing Learning Dynamics under Relative Reparameterization of Singular Models

🤖AI Academic

SABLE: GPU-Based Power Flow Accelerator for Sparsity-Aware Batched Learning

🤖AI Academic

Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search

🤖AI Academic

Reinforcement Learning for Flow-Matching Policies with Density Transport

🎮Reinforcement Learning Academic

A prism hierarchy of learning regimes in large linear autoencoders

🤖Machine Learning Academic

Variational Proximal Policy Optimization

🎯RLHF Academic

Instance-Level Post Hoc Uncertainty Quantification in Object Detection

🤖AI Academic

Perturbative Contrastive Physical Learning

🤖AI Academic

GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

🤖AI Academic

Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning

🤖AI Academic

Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD

📈Optimization Academic

When Do Fewer Coordinates Suffice in DP-SGD?

📈Optimization Academic

TensorBench: Benchmarking Coding Agents on a Compiler-Based Tensor Framework

🤖AI Academic

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