Papers

Filtered to recurrent neural networks · clear filter

Browse by term

continual learning 33reinforcement learning 21large language models 9vision-language models 8language models 6benchmarking 5autoregressive models 4diffusion transformers 4generative models 4multimodal learning 4robotics 4video generation 4benchmarks 3computer vision 3policy optimization 3self-distillation 3vision-language-action models 3world modeling 3agent-based systems 2autonomous agents 2calibration 2coding agents 2diffusion models 2foundation models 2image synthesis 2in-context learning 2knowledge graphs 2LLMs 2multimodal evaluation 2multimodal large language models 2

Matching papers

Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation

6 upvotes · 23 JUL 2026 · Hyunmin Cho, Jaejun Yoo, Kyong Hwan Jin

This paper develops a new architecture for implicit neural representations (INRs) that uses sinusoidal recurrence to improve the quality of the representations, and it demonstrates that this approach can lead to better image and 3D representations with fewer parameters and less computation.

implicit neural representationsrecurrent neural networkssinusoidal activationsspectral analysisneural image synthesis