Asia
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Karl Krauth, Stephen Tu, Benjamin Recht
Neural Information Processing Systems http://nips.cc/
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu, Tianyu Ding, Daniel Robinson, Manolis Tsakiris, Renรฉ Vidal
Neural Information Processing Systems http://nips.cc/
Learning and Processing the Ordinal Information of Temporal Sequences in Recurrent Neural Circuits
Temporal sequence processing is fundamental in brain cognitive functions.
HitNet: Hybrid Ternary Recurrent Neural Network
Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie
Recurrent Neural Networks (RNNs) yield great results across many natural language processing applications, including speech recognition, machine translation, language modeling, and question answering [1,2,3,4,5].
A Bandit Approach to Sequential Experimental Design with False Discovery Control
Neural Information Processing Systems http://nips.cc/
Hyper-Graph-Network Decoders for Block Codes
Neural Information Processing Systems http://nips.cc/
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sheng-Y en Chou The Chinese University of Hong Kong
Diffusion Models (DMs) are state-of-the-art generative models that learn a reversible corruption process from iterative noise addition and denoising.