268 citations · 371 across the 18 of their papers we have counts for
21 papers
Enabling Multi-Robot Collaboration from Single-Human Guidance
Zhengran Ji, Lingyu Zhang, Paul Sajda +1
Learning collaborative behaviors is essential for multi-agent systems. Traditionally, multi-agent reinforcement learning solves this implicitly through a joint reward and centraliz…
Circular Clustering with Polar Coordinate Reconstruction
Xiaoxiao Sun, Paul Sajda
There is a growing interest in characterizing circular data found in biological systems. Such data are wide ranging and varied, from signal phase in neural recordings to nucleotide…
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty
Sharath Koorathota, Nikolas Papadopoulos, Jia Li Ma +5
Vision Transformers (ViT) have advanced computer vision, yet their efficacy in complex tasks like driving remains less explored. This study enhances ViT by integrating human eye ga…
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
Arunesh Mittal, Kai Yang, Paul Sajda +1
Several approximate inference methods have been proposed for deep discrete latent variable models. However, non-parametric methods which have previously been successfully employed…
Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI
Xueqing Liu, Tao Tu, Paul Sajda
Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution. Challenging has been developing principled and interpreta…
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data
Sharath Koorathota, Arunesh Mittal, Richard P. Sloan +1
Cognition in midlife is an important predictor of age-related mental decline and statistical models that predict cognitive performance can be useful for predicting decline. However…