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Published in 30th International Conference on Artificial Neural Networks (ICANN), 2021
In this paper, we propose CuRL and tCuRL, coupled representation learning methods that can effectively capture the higher-order interactions in a bipartite graph of payment entities to detect transaction fraud.
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I’m from India where I travelled across the nation with my family and grew up studying in multiple schools. Interacting with people from varied backgrounds and experiencing many diverse cultures from a young age, I’ve always been comfortable in interacting with people. I was also active in debating and science exhibition clubs, which has contributed to my passion for research.
In my free time I like to play the guitar, listen to music or play basketball or tennis. I also love travelling and hiking. Check out some of the pictures from my hikes here.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Maitrey Gramopadhye, Shreyansh Singh, Kushagra Agarwal, Nitish Srivasatava, Alok Singh, Siddhartha Asthana and Ankur Arora
Published in 30th International Conference on Artificial Neural Networks (ICANN), 2021
In this paper, we propose CuRL and tCuRL, coupled representation learning methods that can effectively capture the higher-order interactions in a bipartite graph of payment entities to detect transaction fraud.
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Maitrey Gramopadhye, Daniel Szafir
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
In this paper, we propose an approach to utilise large language models and convert high level tasks to environmentally-aware action plans that can be directly mapped to executable agent actions. Our approach involves integrating environmental objects and object relations as additional inputs into LLM action plan generation to provide the system with an awareness of its surroundings.
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Maitrey Gramopadhye, Arran Zeyu Wang, Leonard Shearer, Tony Qin and Daniel Szafir
Published in Horizons of an Extended Robotics Reality (XR-ROB Workshop) | IROS, 2023
In this paper, we designed a novel VR interface to control a 6-DOF drone and explored the impact and differences of VR and 2D interfaces on layman human-drone interaction.
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Michael E. Walker, Maitrey Gramopadhye, Bryce Ikeda, Jack Burns, Daniel Szafir
Published in ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024
In this paper, we present the design and evaluation of an immersive Cyber-Physical Control Room interface for teleoperating remote mobile robots.
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Maitrey Gramopadhye, Daniel Szafir
Published in Human-Interactive Robot Learning (HIRL) | HRI, 2024
In this paper, we design a system that enables people to interact with an intelligent robot. We conduct a human subjects study to gain insights into the participants’ mental model.
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Undergraduate course, University of North Carolina at Chapel Hill, Computer Science, 2021
Undergraduate course, University of North Carolina at Chapel Hill, Computer Science, 2022