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09/20/2023
Latent Diffusion Models for Structural Component Design
Recent advances in generative modeling, namely Diffusion models, have re...
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09/04/2023
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
3D printing or additive manufacturing is a revolutionary technology that...
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06/14/2023
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision
Current state-of-the-art methods for text-to-shape generation either req...
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05/02/2023
Out-of-distribution detection algorithms for robust insect classification
Deep learning-based approaches have produced models with good insect cla...
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02/20/2023
SpecXAI – Spectral interpretability of Deep Learning Models
Deep learning is becoming increasingly adopted in business and industry ...
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11/07/2022
Neural PDE Solvers for Irregular Domains
Neural network-based approaches for solving partial differential equatio...
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09/21/2022
Distributed Online Non-convex Optimization with Composite Regret
Regret has been widely adopted as the metric of choice for evaluating th...
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04/29/2022
Concept Activation Vectors for Generating User-Defined 3D Shapes
We explore the interpretability of 3D geometric deep learning models in ...
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12/06/2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
We propose a novel policy gradient method for multi-agent reinforcement ...
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10/04/2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
We consider a mesh-based approach for training a neural network to produ...
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10/04/2021
Differentiable Spline Approximations
The paradigm of differentiable programming has significantly enhanced th...
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04/29/2021
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications
Recent deep-learning-based techniques for the reconstruction of geometri...
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04/29/2021
Distributed Multigrid Neural Solvers on Megavoxel Domains
We consider the distributed training of large-scale neural networks that...
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03/02/2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
Decentralized learning enables a group of collaborative agents to learn ...
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12/09/2020
Physics-consistent deep learning for structural topology optimization
Topology optimization has emerged as a popular approach to refine a comp...
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10/21/2020
Decentralized Deep Learning using Momentum-Accelerated Consensus
We consider the problem of decentralized deep learning where multiple ag...
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10/18/2019
A Saddle-Point Dynamical System Approach for Robust Deep Learning
We propose a novel discrete-time dynamical system-based framework for ac...
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10/15/2019
On Higher-order Moments in Adam
In this paper, we investigate the popular deep learning optimization rou...
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11/29/2018
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Microfluidic devices are utilized to control and direct flow behavior in...
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11/23/2018
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys
The need for advanced materials has led to the development of complex, m...
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05/30/2018
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition
Learning from 3D Data is a fascinating idea which is well explored and s...
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05/30/2018
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
In distributed machine learning, where agents collaboratively learn from...
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11/16/2017
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks
We introduce a new, systematic framework for visualizing information flo...
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11/13/2017
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
3D Convolutional Neural Networks (3D-CNN) have been used for object reco...
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06/23/2017
Collaborative Deep Learning in Fixed Topology Networks
There is significant recent interest to parallelize deep learning algori...
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03/04/2017
A Machine-Learning Framework for Design for Manufacturability
this is a duplicate submission(original is arXiv:1612.02141). Hence want...
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12/07/2016
