most citedEnhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences

2 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG20241 cited

Balance of Number of Embedding and their Dimensions in Vector Quantization

Hang Chen, Sankepally Sainath Reddy, Ziwei Chen +1

The dimensionality of the embedding and the number of available embeddings ( also called codebook size) are critical factors influencing the performance of Vector Quantization(VQ),…

q-bio.QM2024

VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism

Jiawei Wu, Mingyuan Yan, Dianbo Liu

The pursuit of optimizing cancer therapies is significantly advanced by the accurate prediction of drug synergy. Traditional methods, such as clinical trials, are reliable yet encu…

cs.CV2024

BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning

Haoyue Sheng, Linrui Ma, Jean-Francois Samson +1

Background: Chest X-ray imaging-based abnormality localization, essential in diagnosing various diseases, faces significant clinical challenges due to complex interpretations and t…

cs.AI2023

Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries

Zarif Ikram, Ling Pan, Dianbo Liu

Due to limited resources and fast economic growth, designing optimal transportation road networks with traffic simulation and validation in a cost-effective manner is vital for dev…

cs.AI20231 cited

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Trang Nguyen, Alexander Tong, Kanika Madan +2

Understanding causal relationships within Gene Regulatory Networks (GRNs) is essential for unraveling the gene interactions in cellular processes. However, causal discovery in GRNs…

cs.HC20232 cited

Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences

Rui Hao, Dianbo Liu, Linmei Hu

The merging of human intelligence and artificial intelligence has long been a subject of interest in both science fiction and academia. In this paper, we introduce a novel concept…