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Avisek Naug
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2020 – today
- 2024
- [c18]Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. AAAI 2024: 22322-22330 - [c17]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. AAAI 2024: 23829-23831 - [c16]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. AAAI 2024: 23832-23834 - [c15]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV 2024: 4406-4415 - [i11]Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. CoRR abs/2403.14092 (2024) - [i10]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. CoRR abs/2403.18985 (2024) - [i9]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. CoRR abs/2404.10786 (2024) - [i8]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. CoRR abs/2404.10991 (2024) - [i7]Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration. CoRR abs/2404.12498 (2024) - [i6]Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar:
SustainDC - Benchmarking for Sustainable Data Center Control. CoRR abs/2408.07841 (2024) - 2023
- [c14]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI 2023 - [c13]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. CASE 2023: 1-8 - [c12]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha:
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. CASE 2023: 1-8 - [c11]Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar:
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CASE 2023: 1-8 - [c10]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug:
Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. CVPR Workshops 2023: 2330-2337 - [c9]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug:
RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. CVPR Workshops 2023: 3861-3869 - [c8]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. IJCAI 2023: 6201-6209 - [c7]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:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. BuildSys@SenSys 2023: 232-235 - [i5]Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Lorenz Krause, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. CoRR abs/2310.03906 (2023) - [i4]Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar:
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CoRR abs/2310.03912 (2023) - [i3]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR abs/2310.18626 (2023) - [i2]Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar:
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. CoRR abs/2310.18679 (2023) - 2022
- [c6]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Data-Driven Learning Control for Building Energy Management. ACC 2022: 2571-2577 - [c5]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. CCTA 2022: 1172-1177 - 2021
- [c4]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. BuildSys@SenSys 2021: 314-318 - 2020
- [i1]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. CoRR abs/2008.01879 (2020)
2010 – 2019
- 2019
- [c3]Avisek Naug, Ibrahim Ahmed, Gautam Biswas:
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. SMARTCOMP 2019: 249-257 - 2018
- [c2]Avisek Naug, Gautam Biswas:
A Data Driven Method for Prediction of Energy Demand in Commercial Buildings. CASE 2018: 335-340 - [c1]Avisek Naug, Gautam Biswas:
Data Driven Methods for Energy Reduction in Large Buildings. SMARTCOMP 2018: 131-138
Coauthor Index
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last updated on 2024-09-25 00:47 CEST by the dblp team
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