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Towards Learning Robotic Dynamics: Application to Multirotor Takeoff and Landing
By Utkarsh Mathur
Towards ML Models That We Can Deploy Confidently
By Ashish Jadeja
Towards Robust and Scalable Mapping for Autonomous Driving
By Pallavi Chandran
Towards Robust Deep Learning Models via Variance Restriction and Maximal Information Constraint
By Sanket Shetty
Towards Understanding Overparameterized Neural Networks: Insights Into Imbalances and Neural Representations
By Rashmi Mehta
TPACK Components Contributing to Teachers’ Ethical Use of AI for Teaching and Learning: A Mixed-Methods Study
By Jhingan Goswami
Training-ValueNet: A New Approach for Label Cleaning on Weakly-Supervised Datasets
By Bijoy Thakkar
Trusted Compliance Enforcement Framework for Large Volume and High Velocity Data
By Anup Modi
Uncertainty Quantification for Complex Computer Models with Nonstationary Output. Bayesian Optimal Design for Iterative Refocussing
By Meera Munda
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