Amir Barati Farimani

Mach. Learn. Sci. Technol., March, 2024

GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., February, 2024

Pretraining Strategies for Structure Agnostic Material Property Prediction.

[BibT_eX]

[DOI]

Hongshuo Huang

J. Chem. Inf. Model., 2024

AlloyBERT: Alloy Property Prediction with Large Language Models.

[BibT_eX]

[DOI]

Akshat Chaudhari

Hongshuo Huang

CoRR, 2024

Masked Autoencoders are PDE Learners.

[BibT_eX]

[DOI]

Anthony Zhou

CoRR, 2024

Visuo-Tactile Pretraining for Cable Plugging.

[BibT_eX]

[DOI]

CoRR, 2024

SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy.

[BibT_eX]

[DOI]

CoRR, 2024

GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation.

[BibT_eX]

[DOI]

Janghoon Ock

Parisa Mollaei

CoRR, 2024

Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations.

[BibT_eX]

[DOI]

CoRR, 2024

Inpainting Computational Fluid Dynamics with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Pretraining Strategy for Neural Potentials.

[BibT_eX]

[DOI]

Zehua Zhang

CoRR, 2024

PICL: Physics Informed Contrastive Learning for Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis.

[BibT_eX]

[DOI]

CoRR, 2024

2023

ManufacturingNet: A machine learning toolbox for engineers.

[BibT_eX]

[DOI]

Akshay Antony

SoftwareX, July, 2023

Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization.

[BibT_eX]

[DOI]

Kenji Shimada

J. Comput. Des. Eng., July, 2023

Identification of parametric dynamical systems using integer programming.

[BibT_eX]

[DOI]

Expert Syst. Appl., June, 2023

A physics-informed diffusion model for high-fidelity flow field reconstruction.

[BibT_eX]

[DOI]

Dule Shu

J. Comput. Phys., April, 2023

Activity Map and Transition Pathways of G Protein-Coupled Receptor Revealed by Machine Learning.

[BibT_eX]

[DOI]

Parisa Mollaei

J. Chem. Inf. Model., April, 2023

Transformer for Partial Differential Equations' Operator Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification.

[BibT_eX]

[DOI]

Anthony Zhou

CoRR, 2023

Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-scale Time-stepping of Partial Differential Equations with Transformers.

[BibT_eX]

[DOI]

AmirPouya Hemmasian

CoRR, 2023

GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction.

[BibT_eX]

[DOI]

Suryanarayanan Balaji

Yayati Jadhav

CoRR, 2023

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Pour me a drink: Robotic Precision Pouring Carbonated Beverages into Transparent Containers.

[BibT_eX]

[DOI]

CoRR, 2023

SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation.

[BibT_eX]

[DOI]

Charlotte Avra

CoRR, 2023

PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models.

[BibT_eX]

[DOI]

Janghoon Ock

CoRR, 2023

Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Fluid Property Prediction Leveraging AI and Robotics.

[BibT_eX]

[DOI]

Jong Hoon Park

Gauri Pramod Dalwankar

CoRR, 2023

RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models.

[BibT_eX]

[DOI]

CoRR, 2023

HNO: Hyena Neural Operator for solving PDEs.

[BibT_eX]

[DOI]

Saurabh Patil

CoRR, 2023

OpenVR: Teleoperation for Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Physics Informed Token Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Network Predicts Ion Concentration Profiles under Nanoconfinement.

[BibT_eX]

[DOI]

CoRR, 2023

Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials.

[BibT_eX]

[DOI]

CoRR, 2023

Transformer-based Planning for Symbolic Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Transformer for PDE Surrogate Modeling.

[BibT_eX]

[DOI]

Dule Shu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inverse Lighting with Differentiable Physically-Based Model.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Hariharan Ramasubramanian

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

AugLiChem: data augmentation library of chemical structures for machine learning.

[BibT_eX]

[DOI]

Peiyuan Li

Mach. Learn. Sci. Technol., December, 2022

Adaptive grey wolf optimizer.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Dominant motion identification of multi-particle system using deep learning from video.

[BibT_eX]

[DOI]

Yayati Jadhav

Neural Comput. Appl., 2022

Molecular contrastive learning of representations via graph neural networks.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2022

Online metaheuristic algorithm selection.

[BibT_eX]

[DOI]

Seyedali Mirjalili

Expert Syst. Appl., 2022

MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Predicting CO<sub>2</sub> Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks.

[BibT_eX]

[DOI]

Yue Jian

CoRR, 2022

Mechanical Properties Prediction in Metal Additive Manufacturing Using Machine Learning.

[BibT_eX]

[DOI]

Parand Akbari

Ning-Yu Kao

CoRR, 2022

MAN: Multi-Action Networks Learning.

[BibT_eX]

[DOI]

Keqin Wang

CoRR, 2022

Graph Neural Networks for Molecules.

[BibT_eX]

[DOI]

CoRR, 2022

TransPolymer: a Transformer-based Language Model for Polymer Property Predictions.

[BibT_eX]

[DOI]

Changwen Xu

CoRR, 2022

Surrogate Modeling of Melt Pool Thermal Field using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing.

[BibT_eX]

[DOI]

CoRR, 2022

Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Graph neural network-accelerated Lagrangian fluid simulation.

[BibT_eX]

[DOI]

Comput. Graph., 2022

Forecasting COVID-19 new cases using deep learning methods.

[BibT_eX]

[DOI]

Lu Xu

Comput. Biol. Medicine, 2022

MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection.

[BibT_eX]

[DOI]

Seyedali Mirjalili

Appl. Soft Comput., 2022

VecMetaPy: A vectorized framework for metaheuristic optimization in Python.

[BibT_eX]

[DOI]

Adv. Eng. Softw., 2022

Prototype memory and attention mechanisms for few shot image generation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

TPU-GAN: Learning temporal coherence from dynamic point cloud sequences.

[BibT_eX]

[DOI]

Tianqin Li

Hariharan Ramasubramanian

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting.

[BibT_eX]

[DOI]

Sensors, 2021

Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

Graph convolutional networks applied to unstructured flow field data.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

Graph Neural Networks Accelerated Molecular Dynamics.

[BibT_eX]

[DOI]

CoRR, 2021

AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning.

[BibT_eX]

[DOI]

Peiyuan Li

CoRR, 2021

Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations.

[BibT_eX]

[DOI]

CoRR, 2021

Deep learning of material transport in complex neurite networks.

[BibT_eX]

[DOI]

Angran Li

Yongjie Jessica Zhang

CoRR, 2021

An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Yilang Liu

CoRR, 2021

MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Francis Ogoke

CoRR, 2021

Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination.

[BibT_eX]

[DOI]

Zhonglin Cao

CoRR, 2021

Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization.

[BibT_eX]

[DOI]

Kenji Shimada

CoRR, 2021

Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2021

FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Graph Convolutional Neural Networks for Body Force Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data.

[BibT_eX]

[DOI]

Pranshu Pant

CoRR, 2020

Data-driven Identification of 2D Partial Differential Equations using extracted physical features.

[BibT_eX]

[DOI]

CoRR, 2020

Orbital Graph Convolutional Neural Network for Material Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Learning Convective Flow Using Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Changlin Jiang

CoRR, 2020

Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning.

[BibT_eX]

[DOI]

Prakarsh Yadav

CoRR, 2020

Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods.

[BibT_eX]

[DOI]

Juan Carlos Vargas

Lazar Andjelic

CoRR, 2020

2019

Creativity in Robot Manipulation with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Juan Carlos Vargas

Malhar Bhoite

CoRR, 2019

Bio-inspired Stochastic Growth and Initialization for Artificial Neural Networks.

[BibT_eX]

[DOI]

Kevin Dai

Victoria A. Webster-Wood

Proceedings of the Biomimetic and Biohybrid Systems - 8th International Conference, 2019

2018

Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Learning Phase Segregation.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Deep Learning the Physics of Transport Phenomena.

[BibT_eX]

[DOI]