3 citations · 4 across the 4 of their papers we have counts for
7 papers
Reward Learning using Structural Motifs in Inverse Reinforcement Learning
Raeid Saqur
The Inverse Reinforcement Learning (\textit{IRL}) problem has seen rapid evolution in the past few years, with important applications in domains like robotics, cognition, and healt…
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
Raeid Saqur, Ameet Deshpande
The CLEVR dataset has been used extensively in language grounded visual reasoning in Machine Learning (ML) and Natural Language Processing (NLP) domains. We present a graph parser…
Ethics of Artificial Intelligence in Surgery
Frank Rudzicz, Raeid Saqur
Here we discuss the four key principles of bio-medical ethics from surgical context. We elaborate on the definition of 'fairness' and its implications in AI system design, with tax…
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
Raeid Saqur, Sal Vivona
In this paper, we propose a novel technique for generating images in the 3D domain from images with high degree of geometrical transformations. By coalescing two popular concurrent…
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs
Aparna Balagopalan, Satya Gorti, Mathieu Ravaut +1
Generative Adversarial Networks (GANs) have seen steep ascension to the peak of ML research zeitgeist in recent years. Mostly catalyzed by its success in the domain of image genera…
PrivySense: ce olatilit based timent stimation from Financial News using Machine Learning
Raeid Saqur, Nicole Langballe
As machine learning ascends the peak of computer science zeitgeist, the usage and experimentation with sentiment analysis using various forms of textual data seems pervasive. The e…