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Publication search results
found 55 matches
- 2024
- V. S. Anoop, T. K. Ajay Krishnan, Ali Daud, Ameen Banjar, Amal Bukhari:
Climate Change Sentiment Analysis Using Domain Specific Bidirectional Encoder Representations From Transformers. IEEE Access 12: 114912-114922 (2024) - Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR 2024 - Santiago Miret, N. M. Anoop Krishnan:
Are LLMs Ready for Real-World Materials Discovery? CoRR abs/2402.05200 (2024) - Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu:
TAGMol: Target-Aware Gradient-guided Molecule Generation. CoRR abs/2406.01650 (2024) - Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P:
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems. CoRR abs/2406.02597 (2024) - Rama Akkiraju, Anbang Xu, Deepak Bora, Tan Yu, Lu An, Vishal Seth, Aaditya Shukla, Pritam Gundecha, Hridhay Mehta, Ashwin Jha, Prithvi Raj, Abhinav Balasubramanian, Murali Maram, Guru Muthusamy, Shivakesh Reddy Annepally, Sidney Knowles, Min Du, Nick Burnett, Sean Javiya, Ashok Marannan, Mamta Kumari, Surbhi Jha, Ethan Dereszenski, Anupam Chakraborty, Subhash Ranjan, Amina Terfai, Anoop Surya, Tracey Mercer, Vinodh Kumar Thanigachalam, Tamar Bar, Sanjana Krishnan, Samy Kilaru, Jasmine Jaksic, Nave Algarici, Jacob Liberman, Joey Conway, Sonu Nayyar, Justin Boitano:
FACTS About Building Retrieval Augmented Generation-based Chatbots. CoRR abs/2407.07858 (2024) - 2023
- Anoop Krishnan, Ajita Rattani:
A novel approach for bias mitigation of gender classification algorithms using consistency regularization. Image Vis. Comput. 137: 104793 (2023) - Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. 4(1): 15003 (2023) - Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. ACL (1) 2023: 13465-13483 - Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR 2023 - Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML 2023: 2431-2451 - M. Nikhil Krishnan, Anoop Thomas, Birenjith Sasidharan:
Hierarchical Coded Gradient Aggregation Based on Layered MDS Codes. ISIT 2023: 2547-2552 - Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR abs/2301.12477 (2023) - Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR abs/2306.11435 (2023) - Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR abs/2307.05299 (2023) - Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan:
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models. CoRR abs/2308.09115 (2023) - Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, Prathosh A P, N. M. Anoop Krishnan:
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems. CoRR abs/2310.01650 (2023) - Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P:
CoNO: Complex Neural Operator for Continuous Dynamical Systems. CoRR abs/2310.02094 (2023) - Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan:
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR abs/2310.02428 (2023) - Ajay Krishnan, V. S. Anoop:
ClimateNLP: Analyzing Public Sentiment Towards Climate Change Using Natural Language Processing. CoRR abs/2310.08099 (2023) - Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N. M. Anoop Krishnan:
Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction. CoRR abs/2310.08383 (2023) - M. Nikhil Krishnan, Anoop Thomas, Birenjith Sasidharan:
Hierarchical Coded Gradient Aggregation Based on Layered MDS Codes. CoRR abs/2311.14116 (2023) - 2022
- Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS 2022 - Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu:
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS 2022 - Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. CoRR abs/2207.01079 (2022) - Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR abs/2209.01476 (2022) - Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR abs/2209.10740 (2022) - Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR abs/2209.11588 (2022) - Suresh Bishnoi, Skyler Badge, Jayadeva, N. M. Anoop Krishnan:
Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors. CoRR abs/2210.10507 (2022) - Anoop Krishnan, Brian Neas, Ajita Rattani:
Is Facial Recognition Biased at Near-Infrared Spectrum As Well? CoRR abs/2211.00129 (2022)
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