Avisek Naug

According to our database, Avisek Naug authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sustainability of Data Center Digital Twins with Reinforcement Learning.

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time.

Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics.

Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

CoRR, 2023

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability.

Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Sahand Ghorbanpour, Lekhapriya Dheeraj Kashyap, Dejan Markovikj, Lorenz Krause, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves.

Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robustness with Query-efficient Adversarial Attack using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.

Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin.

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Robustness with Black-Box Adversarial Attack using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study.

Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Data-Driven Learning Control for Building Energy Management.

Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas

Proceedings of the American Control Conference, 2022

2021

Sensitivity and robustness of end-to-end data-driven approach for building performance optimization.

Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020

A Relearning Approach to Reinforcement Learning for Control of Smart Buildings.

Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas

CoRR, 2020

2019

Online Energy Management in Commercial Buildings using Deep Reinforcement Learning.

Avisek Naug, Ibrahim Ahmed, Gautam Biswas

Proceedings of the IEEE International Conference on Smart Computing, 2019

2018

Data Driven Methods for Energy Reduction in Large Buildings.

Avisek Naug, Gautam Biswas

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

A Data Driven Method for Prediction of Energy Demand in Commercial Buildings.

Avisek Naug, Gautam Biswas

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018