Krishnan, N M Anoop

14 publications

ICLRW 2025 Evaluating Universal Interatomic Potentials for Molecular Dynamics of Real-World Minerals Sajid Mannan, Carmelo Gonzales, Vaibhav Bihani, Kin Long Kelvin Lee, Nitya Nand Gosvami, Santiago Miret, N M Anoop Krishnan

ICML 2025 Latent Mamba Operator for Partial Differential Equations Karn Tiwari, Niladri Dutta, N M Anoop Krishnan, Prathosh Ap

ICLR 2024 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics Suresh Bishnoi, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

ICMLW 2024 TAGMol: Target-Aware Gradient-Guided Molecule Generation Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N M Anoop Krishnan, Sayan Ranu

NeurIPSW 2023 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics Suresh Bishnoi, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

NeurIPSW 2023 CoDBench: A Critical Evaluation of Data-Driven Models for Continuous Dynamical Systems Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, Prathosh Ap, N M Anoop Krishnan

NeurIPSW 2023 CoNO: Complex Neural Operator for Continuous Dynamical Systems Karn Tiwari, N M Anoop Krishnan, Prathosh Ap

NeurIPSW 2023 EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M Smedskjaer, Sayan Ranu, N M Anoop Krishnan

ICLR 2023 Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

ICLRW 2023 Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

NeurIPSW 2023 Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction Kausik Hira, Mohd Zaki, Dhruvil Bhavesh Sheth, Mausam, N M Anoop Krishnan

ICML 2023 StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan

NeurIPS 2022 Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan

NeurIPS 2022 Unravelling the Performance of Physics-Informed Graph Neural Networks for Dynamical Systems Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N M Anoop Krishnan, Sayan Ranu