2021.12.13 Neural papers

 

12-10-2021

Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021
by Karl-Herbert Schäfer et al

12-07-2021

Multi-speaker Emotional Text-to-speech Synthesizer
by Sungjae Cho et al

12-10-2021

Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs
by Bryan Eikema et al

12-07-2021

Dilated convolution with learnable spacings
by Ismail Khalfaoui Hassani et al

12-07-2021

Multi-Task Learning on Networks
by Andrea Ponti

12-07-2021

Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithm
by Saman Khamesian et al

12-07-2021

Relating transformers to models and neural representations of the hippocampal formation
by James C. R. Whittington et al

12-07-2021

Genetic Algorithm for Constrained Molecular Inverse Design
by Yurim Lee et al

12-10-2021

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection
by M. Pietroń et al

12-09-2021

Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses
by Peng Zhou et al

12-10-2021

Global convergence of ResNets: From finite to infinite width using linear parameterization
by Raphaël Barboni et al

12-10-2021

Universal computation using localized limit-cycle attractors in neural networks
by Lorenz Baumgarten et al

12-10-2021

Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching
by Peng Zhou et al

12-07-2021

Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding
by Yulun Zhang et al

 
Craig Smith