Scholar
Jai Bardhan
Google Scholar ID: 9Wmw1EYAAAAJ
Predoctoral Research Fellow, TCS Research
Computer Vision
Deep Learning
Representation Learning
Computer Graphics
Physics
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Citations & Impact
All-time
Citations
55
H-index
4
i10-index
2
Publications
10
Co-authors
2
list available
Contact
Email
jai.bardhan90@gmail.com
CV
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GitHub
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Publications
5 items
Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
2026
Cited
0
REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation
2025
Cited
0
Refine and Align: Confidence Calibration through Multi-Agent Interaction in VQA
2025
Cited
0
Tagging fully hadronic exotic decays of the vectorlike $mathbf{B}$ quark using a graph neural network
2025
Cited
0
HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture
2025
Cited
0
Resume (English only)
Academic Achievements
Recipient of the Ritesh Tiwari Outstanding MS Thesis Award (Best Thesis Award) in 2023.
Gold Medalist, CND Department, IIIT Hyderabad (highest CGPA, 2018 batch).
Published multiple papers including:
- 'Machine learning-enhanced search for a vectorlike singlet B quark...' (Phys. Rev. D, Jun 2023)
- 'Loss function to optimise signal significance in particle physics' (NeurIPS ML4PS Workshop, Sep 2024)
- 'ReMOVE: A Reference-free Metric for Object Erasure' (CVPR, Sep 2024)
- 'CSCD: 3D Object Curve Skeletonization on Continuous Domain' (Submitted to top CV conference, Nov 2024)
- 'Constructing sensible baselines for Integrated Gradients' (AAAI AI4Science Workshop, Nov 2024)
- 'Unsupervised and lightly supervised learning in particle physics' (EPJ Special Topics, Jul 2024)
Co-authors
2 total
Subhadip Mitra
CCNSB & CQST, IIIT Hyderabad
Co-author 2
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