Summary of Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks, by Yuli Wu et al.
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networksby Yuli Wu, Julian Wittmann, Peter Walter,…
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networksby Yuli Wu, Julian Wittmann, Peter Walter,…
Identifying Causal Effects Under Functional Dependenciesby Yizuo Chen, Adnan DarwicheFirst submitted to arxiv on: 7…
Control-based Graph Embeddings with Data Augmentation for Contrastive Learningby Obaid Ullah Ahmad, Anwar Said, Mudassir…
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methodsby Montgomery Bohde, Meng Liu,…
Gradient-free neural topology optimization: Towards effective fracture-resistant designsby Gawel Kus, Miguel A. BessaFirst submitted to…
MEIT: Multi-Modal Electrocardiogram Instruction Tuning on Large Language Models for Report Generationby Zhongwei Wan, Che…
A spatiotemporal style transfer algorithm for dynamic visual stimulus generationby Antonino Greco, Markus SiegelFirst submitted…
Stacking as Accelerated Gradient Descentby Naman Agarwal, Pranjal Awasthi, Satyen Kale, Eric ZhaoFirst submitted to…
Can’t Remember Details in Long Documents? You Need Some R&Rby Devanshu Agrawal, Shang Gao, Martin…
Simple Multigraph Convolution Networksby Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping NieFirst submitted…