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- Sarath Chandar
aka: A. P. Sarath Chandar
University of Montreal, Department of Computer Science and Operations Research, Canada - T. S. Chandar
- Sibi Catley-Chandar
- Subash Chandar G.
- S. Kumar Chandar 0001
aka: Kumar Chandar S 0001
Christ University, School of Business and Management, Bangalore, India
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Publication search results
found 297 matches
- 2024
- Kousalya Govardhanan, R. Manikandan, B. Arunkumar, S. P. Abirami, B. Misha Chandar, Karthikeyan Gopalakrishnan:
Parameter Reputation Model for Cloud Service Recommendation and Ranking Using Opinion Mining. IEEE Access 12: 38123-38134 (2024) - Tanzim Jim Hassan, Jamison Jangula, Akshay Ram Ramchandra, Niroop Sugunaraj, Barathwaja Subash Chandar, Prashanth Rajagopalan, Farishta Rahman, Prakash Ranganathan, Ryan Adams:
UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation. IEEE Access 12: 4911-4939 (2024) - A. Bharathi, Rigved Sanku, M. Sridevi, S. Manusubramanian, S. Kumar Chandar:
Real-time human action prediction using pose estimation with attention-based LSTM network. Signal Image Video Process. 18(4): 3255-3264 (2024) - Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar:
Promoting Exploration in Memory-Augmented Adam using Critical Momenta. Trans. Mach. Learn. Res. 2024 (2024) - Baharin Aliashrafi Jodat, Abhishek Chandar, Shiva Nejati, Mehrdad Sabetzadeh:
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures. ACM Trans. Softw. Eng. Methodol. 33(4): 93:1-93:32 (2024) - Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar:
Fairness-Aware Structured Pruning in Transformers. AAAI 2024: 22484-22492 - Andreas Madsen, Sarath Chandar, Siva Reddy:
Are self-explanations from Large Language Models faithful? ACL (Findings) 2024: 295-337 - Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) 2024: 5732-5745 - Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar:
Why Don't Prompt-Based Fairness Metrics Correlate? ACL (1) 2024: 9002-9019 - Barathwaja Subash Chandar, Prakash Ranganathan, William Semke:
Imputing ADS-B/GPS Dropouts using Machine Learning Models. CCWC 2024: 63-72 - Deepak Chandar S, Diya Seshan, Avaneesh Koushik, Palaniappan Mirunalini:
Trojan Horses at Touché: Logistic Regression for Classification of Political Debates. CLEF (Working Notes) 2024: 3478-3482 - Louis Clouâtre, Amal Zouaq, Sarath Chandar:
MVP: Minimal Viable Phrase for Long Text Understanding. LREC/COLING 2024: 12016-12026 - Shweta Ullala, Yasasvi Challa, Pooja K. R, Nithyashree R, T. S. Chandar:
Design of a Gecko Inspired End Effector for Multi-Terrain Legged Wall Climbing Robots. ICARA 2024: 87-91 - Meghan Chandarana Saephan, Garrett G. Sadler, Krish D. Pradhan, Jillian Keeler, Victoria Dulchinos, Crystal Kirkley, Linnea J. Holm, Dominic Wong:
sUAS Ground Control Station Capabilities Impact on Fleet Management. ICHMS 2024: 1-6 - Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar:
Intelligent Switching for Reset-Free RL. ICLR 2024 - Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar:
Mastering Memory Tasks with World Models. ICLR 2024 - Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams:
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. ICSE-SEIP 2024: 275-286 - Andreas Madsen, Sarath Chandar, Siva Reddy:
Are self-explanations from Large Language Models faithful? CoRR abs/2401.07927 (2024) - Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar:
Mastering Memory Tasks with World Models. CoRR abs/2403.04253 (2024) - Sibi Catley-Chandar, Richard Shaw, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF. CoRR abs/2403.11909 (2024) - Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar:
Towards Practical Tool Usage for Continually Learning LLMs. CoRR abs/2404.09339 (2024) - Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar:
Intelligent Switching for Reset-Free RL. CoRR abs/2405.01684 (2024) - Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté:
Sub-goal Distillation: A Method to Improve Small Language Agents. CoRR abs/2405.02749 (2024) - Andreas Madsen, Himabindu Lakkaraju, Siva Reddy, Sarath Chandar:
Interpretability Needs a New Paradigm. CoRR abs/2405.05386 (2024) - Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar:
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective. CoRR abs/2405.15895 (2024) - Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov:
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. CoRR abs/2406.03686 (2024) - Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. CoRR abs/2406.04879 (2024) - Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar:
Why Don't Prompt-Based Fairness Metrics Correlate? CoRR abs/2406.05918 (2024) - James Seekings, Peyton Chandarana, Mahsa Ardakani, Mohammadreza Mohammadi, Ramtin Zand:
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware. CoRR abs/2407.08704 (2024) - Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar:
Exploring Quantization for Efficient Pre-Training of Transformer Language Models. CoRR abs/2407.11722 (2024)
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