20 citations · 42 across the 5 of their papers we have counts for
6 papers
A Meta-Learning Approach to Predicting Performance and Data Requirements
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro +8
We propose an approach to estimate the number of samples required for a model to reach a target performance. We find that the power law, the de facto principle to estimate model pe…
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
Achin Jain, Kibok Lee, Gurumurthy Swaminathan +4
Annotating bounding boxes for object detection is expensive, time-consuming, and error-prone. In this work, we propose a DETR based framework called ComplETR that is designed to ex…
BayesRace: Learning to race autonomously using prior experience
Achin Jain, Matthew O'Kelly, Pratik Chaudhari +1
Autonomous race cars require perception, estimation, planning, and control modules which work together asynchronously while driving at the limit of a vehicle's handling capability.…
Computing the racing line using Bayesian optimization
Achin Jain, Manfred Morari
A good racing strategy and in particular the racing line is decisive to winning races in Formula 1, MotoGP, and other forms of motor racing. The racing line defines the path follow…
NeurOpt: Neural network based optimization for building energy management and climate control
Achin Jain, Francesco Smarra, Enrico Reticcioli +2
Model predictive control (MPC) can provide significant energy cost savings in building operations in the form of energy-efficient control with better occupant comfort, lower peak d…
Data-Driven Modeling, Control and Tools for Cyber-Physical Energy Systems
Madhur Behl, Achin Jain, Rahul Mangharam
Demand response (DR) is becoming increasingly important as the volatility on the grid continues to increase. Current DR approaches are completely manual and rule-based or involve d…