Amir Barati Farimani

Orcid: 0000-0002-2952-8576

According to our database1, Amir Barati Farimani authored at least 116 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Physics informed token transformer for solving partial differential equations.
Mach. Learn. Sci. Technol., March, 2024

GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models.
J. Chem. Inf. Model., February, 2024

Pretraining Strategies for Structure Agnostic Material Property Prediction.
J. Chem. Inf. Model., 2024

Fluid viscosity prediction leveraging computer vision and robot interaction.
Eng. Appl. Artif. Intell., 2024

Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision.
CoRR, 2024

Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent.
CoRR, 2024

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation.
CoRR, 2024

Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text.
CoRR, 2024

Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring.
CoRR, 2024

PLATO: Planning with LLMs and Affordances for Tool Manipulation.
CoRR, 2024

Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation.
CoRR, 2024

LLM-3D Print: Large Language Models To Monitor and Control 3D Printing.
CoRR, 2024

Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models.
CoRR, 2024

Pretraining a Neural Operator in Lower Dimensions.
CoRR, 2024

Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties.
CoRR, 2024

Low Fidelity Visuo-Tactile Pretraining Improves Vision-Only Manipulation Performance.
CoRR, 2024

LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models.
CoRR, 2024

Strategies for Pretraining Neural Operators.
CoRR, 2024

Query2CAD: Generating CAD models using natural language queries.
CoRR, 2024

AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing.
CoRR, 2024

Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis.
CoRR, 2024

BeadSight: An Inexpensive Tactile Sensor Using Hydro-Gel Beads.
CoRR, 2024

Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion.
CoRR, 2024

CaFA: Global Weather Forecasting with Factorized Attention on Sphere.
CoRR, 2024

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.
CoRR, 2024

Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers.
CoRR, 2024

Large Language Model Agent as a Mechanical Designer.
CoRR, 2024

ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning.
CoRR, 2024

AlloyBERT: Alloy Property Prediction with Large Language Models.
CoRR, 2024

Masked Autoencoders are PDE Learners.
CoRR, 2024

Visuo-Tactile Pretraining for Cable Plugging.
CoRR, 2024

SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy.
CoRR, 2024

GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation.
CoRR, 2024

Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations.
CoRR, 2024

Inpainting Computational Fluid Dynamics with Deep Learning.
CoRR, 2024

Pretraining Strategy for Neural Potentials.
CoRR, 2024

PICL: Physics Informed Contrastive Learning for Partial Differential Equations.
CoRR, 2024

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis.
CoRR, 2024

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification.
IEEE Access, 2024

SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
ManufacturingNet: A machine learning toolbox for engineers.
SoftwareX, July, 2023

Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization.
J. Comput. Des. Eng., July, 2023

Identification of parametric dynamical systems using integer programming.
Expert Syst. Appl., June, 2023

A physics-informed diffusion model for high-fidelity flow field reconstruction.
J. Comput. Phys., April, 2023

Activity Map and Transition Pathways of G Protein-Coupled Receptor Revealed by Machine Learning.
J. Chem. Inf. Model., April, 2023

Transformer for Partial Differential Equations' Operator Learning.
Trans. Mach. Learn. Res., 2023

Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion.
CoRR, 2023

Multi-scale Time-stepping of Partial Differential Equations with Transformers.
CoRR, 2023

GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction.
CoRR, 2023

One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers.
CoRR, 2023

Pour me a drink: Robotic Precision Pouring Carbonated Beverages into Transparent Containers.
CoRR, 2023

PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction.
CoRR, 2023

Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models.
CoRR, 2023

Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction.
CoRR, 2023

Fluid Property Prediction Leveraging AI and Robotics.
CoRR, 2023

RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models.
CoRR, 2023

HNO: Hyena Neural Operator for solving PDEs.
CoRR, 2023

OpenVR: Teleoperation for Manipulation.
CoRR, 2023

Physics Informed Token Transformer.
CoRR, 2023

Neural Network Predicts Ion Concentration Profiles under Nanoconfinement.
CoRR, 2023

Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials.
CoRR, 2023

Transformer-based Planning for Symbolic Regression.
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.
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.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
AugLiChem: data augmentation library of chemical structures for machine learning.
Mach. Learn. Sci. Technol., December, 2022

Adaptive grey wolf optimizer.
Neural Comput. Appl., 2022

Dominant motion identification of multi-particle system using deep learning from video.
Neural Comput. Appl., 2022

Molecular contrastive learning of representations via graph neural networks.
Nat. Mach. Intell., 2022

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast.
J. Chem. Inf. Model., 2022

Online metaheuristic algorithm selection.
Expert Syst. Appl., 2022

MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics.
CoRR, 2022

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction.
CoRR, 2022

Predicting CO<sub>2</sub> Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks.
CoRR, 2022

Mechanical Properties Prediction in Metal Additive Manufacturing Using Machine Learning.
CoRR, 2022

MAN: Multi-Action Networks Learning.
CoRR, 2022

Graph Neural Networks for Molecules.
CoRR, 2022

TransPolymer: a Transformer-based Language Model for Polymer Property Predictions.
CoRR, 2022

Surrogate Modeling of Melt Pool Thermal Field using Deep Learning.
CoRR, 2022

Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing.
CoRR, 2022

Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction.
CoRR, 2022

MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning.
CoRR, 2022

Graph neural network-accelerated Lagrangian fluid simulation.
Comput. Graph., 2022

Forecasting COVID-19 new cases using deep learning methods.
Comput. Biol. Medicine, 2022

MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection.
Appl. Soft Comput., 2022

VecMetaPy: A vectorized framework for metaheuristic optimization in Python.
Adv. Eng. Softw., 2022

Prototype memory and attention mechanisms for few shot image generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

TPU-GAN: Learning temporal coherence from dynamic point cloud sequences.
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.
Sensors, 2021

Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy.
Mach. Learn. Sci. Technol., 2021

Graph convolutional networks applied to unstructured flow field data.
Mach. Learn. Sci. Technol., 2021

Graph Neural Networks Accelerated Molecular Dynamics.
CoRR, 2021

AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning.
CoRR, 2021

Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations.
CoRR, 2021

Deep learning of material transport in complex neurite networks.
CoRR, 2021

An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning.
CoRR, 2021

MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks.
CoRR, 2021

Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning.
CoRR, 2021

Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination.
CoRR, 2021

Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization.
CoRR, 2021

Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering.
Comput. Biol. Medicine, 2021

FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification.
IEEE Access, 2021

2020
Graph Convolutional Neural Networks for Body Force Prediction.
CoRR, 2020

Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data.
CoRR, 2020

Data-driven Identification of 2D Partial Differential Equations using extracted physical features.
CoRR, 2020

Orbital Graph Convolutional Neural Network for Material Property Prediction.
CoRR, 2020

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction.
CoRR, 2020

Deep Learning Convective Flow Using Conditional Generative Adversarial Networks.
CoRR, 2020

Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning.
CoRR, 2020

Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods.
CoRR, 2020

2019
Creativity in Robot Manipulation with Deep Reinforcement Learning.
CoRR, 2019

Bio-inspired Stochastic Growth and Initialization for Artificial Neural Networks.
Proceedings of the Biomimetic and Biohybrid Systems - 8th International Conference, 2019

2018
Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss.
CoRR, 2018

Deep Learning Phase Segregation.
CoRR, 2018

2017
Deep Learning the Physics of Transport Phenomena.
CoRR, 2017


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