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ORCIDAchin Jain
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2020 – today
- 2024
[j7]Reza Soltani, Marzia Zaman, Darshana Upadhyay
, Achin Jain, Srinivas Sampalli:
Using IOTA Tangle and Machine Learning for a Defensive Model-Based Approach Against Replication Attacks on Wireless Sensor Networks. IEEE Access 12: 148605-148624 (2024)- [i7]Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR abs/2406.08431 (2024) - 2023
- [j6]Pritesh Kumar Singh, Archit Gupta, Mayank Upadhyay, Achin Jain, Manju Khari, Puneet Singh Lamba:
Multimodal Driver Drowsiness Detection From Video Frames. J. Mobile Multimedia 19(2): 567-586 (2023) - [c14]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR 2023: 3623-3632 - [i6]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR abs/2303.01598 (2023) - 2022
- [j5]Achin Jain, Vanita Jain:
Sentiment classification using hybrid feature selection and ensemble classifier. J. Intell. Fuzzy Syst. 42(2): 659-668 (2022) - [i5]Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer:
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers. CoRR abs/2209.05654 (2022) - 2021
- [j4]Bharti Sharma, Poonam Bansal, Mohak Chugh, Adisakshya Chauhan, Prateek Anand, Qiaozhi Hua, Achin Jain:
Benchmarking geospatial database on Kubernetes cluster. EURASIP J. Adv. Signal Process. 2021(1): 1-29 (2021) - [j3]Achin Jain, Vanita Jain:
Efficient Framework for Sentiment Classification Using Apriori Based Feature Reduction. EAI Endorsed Trans. Scalable Inf. Syst. 8(31): e3 (2021) - 2020
- [c13]Achin Jain, Manfred Morari:
Computing the racing line using Bayesian optimization. CDC 2020: 6192-6197 - [c12]Achin Jain, Matthew O'Kelly, Pratik Chaudhari, Manfred Morari:
BayesRace: Learning to race autonomously using prior experience. CoRL 2020: 1918-1929 - [c11]Matthew O'Kelly, Hongrui Zheng, Achin Jain, Joseph Auckley, Kim Luong, Rahul Mangharam:
TUNERCAR: A Superoptimization Toolchain for Autonomous Racing. ICRA 2020: 5356-5362 - [c10]Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. L4DC 2020: 445-454 - [i4]Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. CoRR abs/2001.07831 (2020) - [i3]Achin Jain, Manfred Morari:
Computing the racing line using Bayesian optimization. CoRR abs/2002.04794 (2020) - [i2]Achin Jain, Pratik Chaudhari, Manfred Morari:
BayesRace: Learning to race autonomously using prior experience. CoRR abs/2005.04755 (2020)
2010 – 2019
- 2018
- [j2]Achin Jain, Francesco Smarra, Madhur Behl, Rahul Mangharam:
Data-Driven Model Predictive Control with Regression Trees - An Application to Building Energy Management. ACM Trans. Cyber Phys. Syst. 2(1): 4:1-4:21 (2018) - [c9]Francesco Smarra, Achin Jain, Rahul Mangharam, Alessandro D'Innocenzo:
Data-driven Switched Affine Modeling for Model Predictive Control. ADHS 2018: 199-204 - [c8]Achin Jain, Truong X. Nghiem, Manfred Morari, Rahul Mangharam:
Learning and control using gaussian processes: towards bridging machine learning and controls for physical systems. ICCPS 2018: 140-149 - 2017
- [c7]Achin Jain, Madhur Behl, Rahul Mangharam:
Data Predictive Control for building energy management. ACC 2017: 44-49 - [c6]Achin Jain, Francesco Smarra, Rahul Mangharam:
Data predictive control using regression trees and ensemble learning. CDC 2017: 4446-4451 - 2016
- [j1]Achin Jain, Tobias Nuesch, Christian Naegele, Pedro Macri Lassus, Christopher Harald Onder:
Modeling and Control of a Hybrid Electric Vehicle With an Electrically Assisted Turbocharger. IEEE Trans. Veh. Technol. 65(6): 4344-4358 (2016) - [c5]Madhur Behl, Achin Jain, Rahul Mangharam:
Data-Driven Modeling, Control and Tools for Cyber-Physical Energy Systems. ICCPS 2016: 35:1-35:10 - [c4]Achin Jain, Rahul Mangharam, Madhur Behl:
Data Predictive Control for Peak Power Reduction. BuildSys@SenSys 2016: 109-118 - [c3]Achin Jain, Madhur Behl, Rahul Mangharam:
Data Predictive Control for Building Energy Management: Poster Abstract. BuildSys@SenSys 2016: 245-246 - [i1]Madhur Behl, Achin Jain, Rahul Mangharam:
Data-Driven Modeling, Control and Tools for Cyber-Physical Energy Systems. CoRR abs/1601.05164 (2016) - 2013
- [c2]Nanhay Singh, Achin Jain, Ram Shringar Raw, Rahul Raman:
Detection of Web-Based Attacks by Analyzing Web Server Log Files. ICACNI 2013: 101-109
2000 – 2009
- 2006
- [c1]Achin Jain, Alok R. Patnaik, Pulak Dhar, Vineet Srivastava:
Software Defect Content Estimation: A Bayesian Approach. CCECE 2006: 2449-2454
Coauthor Index
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