9 papers
Curve Skeletonization in Continuous domain for Meshes and Point Clouds
Jai Bardhan, Ramya Hebbalaguppe, Aravind Udupa
Advancements in 3D curve skeletonization are accelerating progress across a wide range of applications. However, developing robust skeletonization algorithms that capture intricate…
Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
Jai Bardhan, Patrik Drozdik, Josef Sivic +1
Action-conditioned robot world models generate future video frames of the manipulated scene given a robot action sequence, offering a promising alternative for simulating tasks tha…
REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation
Martin Sedlacek, Pavlo Yefanov, Georgy Ponimatkin +7
Vision-Language-Action (VLA) models empower robots to understand and execute tasks described by natural language instructions. However, a key challenge lies in their ability to gen…
Refine and Align: Confidence Calibration through Multi-Agent Interaction in VQA
Ayush Pandey, Jai Bardhan, Ishita Jain +3
In the context of Visual Question Answering (VQA) and Agentic AI, calibration refers to how closely an AI system's confidence in its answers reflects their actual correctness. This…
Tagging fully hadronic exotic decays of the vectorlike quark using a graph neural network
Jai Bardhan, Tanumoy Mandal, Subhadip Mitra +2
Following up on our earlier study in [J. Bardhan et al., Machine learning-enhanced search for a vectorlike singlet B quark decaying to a singlet scalar or pseudoscalar, Phys. Rev.…
HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture
Jai Bardhan, Radhikesh Agrawal, Abhiram Tilak +2
We present a transformer architecture-based foundation model for tasks at high-energy particle colliders such as the Large Hadron Collider. We train the model to classify jets usin…