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ORCIDN. M. Anoop Krishnan
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2020 – today
- 2024
[j3]Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
:
Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks. Mach. Learn. Sci. Technol. 5(3): 35049 (2024)- [c6]Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR 2024 - [i21]Santiago Miret, N. M. Anoop Krishnan:
Are LLMs Ready for Real-World Materials Discovery? CoRR abs/2402.05200 (2024) - [i20]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) - [i19]Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P:
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems. CoRR abs/2406.02597 (2024) - 2023
- [j2]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) - [c5]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 - [c4]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 - [c3]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 - [i18]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) - [i17]Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR abs/2306.11435 (2023) - [i16]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) - [i15]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) - [i14]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) - [i13]Karn Tiwari, N. M. Anoop Krishnan, Prathosh A P:
CoNO: Complex Neural Operator for Continuous Dynamical Systems. CoRR abs/2310.02094 (2023) - [i12]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) - [i11]Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N. M. Anoop Krishnan:
Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction. CoRR abs/2310.08383 (2023) - 2022
- [c2]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS 2022 - [c1]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 - [d1]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
MatSciBERT. Zenodo, 2022
- [i10]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) - [i9]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) - [i8]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) - [i7]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR abs/2209.11588 (2022) - [i6]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) - [i5]Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar, Raju Goyal, Jayadeva, N. M. Anoop Krishnan:
Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images. CoRR abs/2211.03223 (2022) - [i4]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. CoRR abs/2211.05520 (2022) - 2021
- [j1]Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan:
Looking through glass: Knowledge discovery from materials science literature using natural language processing. Patterns 2(7): 100290 (2021) - [i3]Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan:
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. CoRR abs/2101.01508 (2021) - [i2]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction. CoRR abs/2109.15290 (2021) - [i1]Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR abs/2110.03266 (2021)
Coauthor Index
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