Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

September 28, 2023

Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning
He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao
Deep Learning Knowledge Barrier Molecular System Quantum Chemistry Kohn Sham Ab Initio Quantum Chemistry
Uncertainty Quantification for Eosinophil Segmentation
Kevin Lin, Donald Brown, Sana Syed, Adam Greene
Deep Learning Uncertainty Quantification Deep Bayesian Segmentation Eosinophil Instance Object Segmentation Eosinophilic Esophagitis
High Throughput Training of Deep Surrogates from Large Ensemble Runs
Lucas Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
Deep Learning Numerical Solver Reservoir Dynamic Training Throughput Deep Surrogate Simulation Fidelity Simulation Ensemble
Sensorless Estimation of Contact Using Deep-Learning for Human-Robot Interaction
Shilin Shan, Quang-Cuong Pham
Deep Learning Human Robot Interaction Torque Sensor Fast Contact Hysteresis Compensation Dynamic Identification Sensorless Estimation

September 27, 2023

Resilience of Deep Learning applications: a systematic literature review of analysis and hardening techniques
Cristiana Bolchini, Luca Cassano, Antonio Miele
Deep Learning Machine Learning General Analysis Barzilai Borwein Technique Systematic Literature Review Tiny Refinement Elicit Resilience Machine Learning Application Deep Learning Application Hardware Error
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
Lin Yao, Wentao Guo, Zhen Wang, Shang Xiang, Wentan Liu, Guolin Ke
Deep Learning Molecular Graph Retrosynthesis Prediction Graph Alignment Synthetic Route
Question answering using deep learning in low resource Indian language Marathi
Dhiraj Amin, Sharvari Govilkar, Sagar Kulkarni
Deep Learning Yes No Question Low Resource Bidirectional Encoder Representation Marathi Corpus Comprehension Datasets
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu
Deep Learning Timely Survey Artificial Intelligence of Thing Resource Efficient Deep Multi Level Optimization
SimPINNs: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems
Sidney Besnard, Frédéric Jurie, Jalal M. Fadili
Deep Learning Physic Informed Neural Network Inverse Problem Performance Improvement Physical Model Nonlinear Inverse Problem Hybrid Loss
Deep Learning in Deterministic Computational Mechanics
Leon Herrmann, Stefan Kollmannsberger
Deep Learning Solid Mechanic Interacting System
ADGym: Design Choices for Deep Anomaly Detection
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
Deep Learning Anomaly Detection Deep Anomaly Detection Design Choice

September 26, 2023

Deep Learning for Optimization of Trajectories for Quadrotors
Yuwei Wu, Xiatao Sun, Igor Spasojevic, Vijay Kumar
Deep Learning Optimization Purpose Handwritten Trajectory Trajectory Optimization Problem Quadratic Programming Stochastic Trajectory Learning Based Trajectory Planning
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon, Mustafa Hajij, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Tolga Birdal, Tamal Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Robin Walters, Jens Agerberg, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernardez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Rubén Ballester, Kalyan Nadimpalli, Alexander Nikitin, Abraham Rabinowitz, Alessandro Salatiello, Simone Scardapane, Luca Scofano, Suraj Singh, Jens Sjölund, Pavel Snopov, Indro Spinelli, Lev Telyatnikov, Lucia Testa, Maosheng Yang, Yixiao Yue, Olga Zaghen, Ali Zia, Nina Miolane
Deep Learning Product Design Key Result Topology Problem Topological Deep Learning Computational Challenge Topological Neural Network
Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio
Chia-Hsin Lin, Charles Jones, Björn W. Schuller, Harry Coppock
Deep Learning Domain Adaptation Domain Shift Audio Driven Audio Generation Acoustic Model Basic Melody Benchmark Framework
Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition
Danial Ahangarani, Mohammad Shirazi, Navid Ashraf
Deep Learning Activity Recognition Feature Extraction Sensor Based Human Activity Recognition Human Activity Recognition

September 25, 2023

A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN
Promit Basak, A. H. M Nazmus Sakib, Muhammad E. H. Chowdhury, Nasser Al-Emadi, Huseyin Cagatay Yalcin, Shona Pedersen, Sakib Mahmud, Serkan Kiranyaz, Somaya Al-Maadeed
Deep Learning Morphological Feature Electrocardiogram Recording Fetal ECG
Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet
Kai Li, Jonathan Chan
Deep Learning Artificial Intelligence Explainable AI Organ Segmentation Radiation Oncology Gastrointestinal Tract 3D Unet
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning
Qingjie Meng, Wenjia Bai, Declan P O'Regan, and Daniel Rueckert
Deep Learning Motion Estimation Human Mesh
Urdu Poetry Generated by Using Deep Learning Techniques
Muhammad Shoaib Farooq, Ali Abbas
Deep Learning Long Short Term Memory Urdu Poetry
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
Deep Learning Image Reconstruction Fairness Evaluation Fairness Assessment Based Magnetic Resonance Imaging Reconstruction Reconstruction Metric

Deep Learning

Papers

Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning

Uncertainty Quantification for Eosinophil Segmentation

High Throughput Training of Deep Surrogates from Large Ensemble Runs

Sensorless Estimation of Contact Using Deep-Learning for Human-Robot Interaction

Resilience of Deep Learning applications: a systematic literature review of analysis and hardening techniques

Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis

Question answering using deep learning in low resource Indian language Marathi

Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey

SimPINNs: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems

Deep Learning in Deterministic Computational Mechanics

ADGym: Design Choices for Deep Anomaly Detection

Deep Learning for Optimization of Trajectories for Quadrotors

ICML 2023 Topological Deep Learning Challenge : Design and Results

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio

Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition

A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN

Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

Urdu Poetry Generated by Using Deep Learning Techniques

Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction