Eugenio Culurciello
Engineering · Purdue University West Lafayette
Publications
171
Citations
8,741
Est. group size
—
Recurring co-author estimate
Active years
26
Publishing since 2000
Eugenio Culurciello works at the intersection of computer engineering and artificial intelligence, focusing on designing efficient hardware and algorithms for deep learning, including chip accelerators, neural network compilers, and multimodal machine learning systems that combine vision, audio, and language. His work also touches on applying deep learning to scientific problems such as microscopy image analysis and reinforcement learning for robotics and dataflow computing systems.
Publication output was highest around 2017-2018 and has slowed considerably since, with only about one publication per year from 2021 onward.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Semantically complex audio to video generation with audio source separation
Engineering Applications of Artificial Intelligence · 2025
- The Evolution of Multimodal Model Architectures
arXiv (Cornell University) · 2024
- OneCAD: One Classifier for All image Datasets using multimodal learning
arXiv (Cornell University) · 2023
- Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
arXiv (Cornell University) · 2022
- CERN openlab Technical Workshop
CERN Document Server (European Organization for Nuclear Research) · 2021
- Continual reinforcement learning in 3D non-stationary environments
CINECA IRIS Institutial research information system (University of Pisa) · 2020
- Continual Reinforcement Learning in 3D Non-stationary Environments
2020
- Deep neural networks compiler for a trace-based accelerator
Journal of Systems Architecture · 2019
- Understanding Complex Single Molecule Emission Patterns with Deep Learning
Biophysical Journal · 2019
- Augmented Curiosity: Depth and Optical Flow Prediction for Efficient Exploration
Lecture notes in computer science · 2019
- Analyzing complex single-molecule emission patterns with deep learning
Nature Methods · 2018
- Deep Predictive Coding Network for Object Recognition
arXiv (Cornell University) · 2018
- Deep Predictive Coding Network with Local Recurrent Processing for\n Object Recognition
arXiv (Cornell University) · 2018
- Deep Predictive Coding Network for Object Recognition.
International Conference on Machine Learning · 2018
- Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
arXiv (Cornell University) · 2018
- arXiv (Cornell University)×13
- Neuron×1
- IEEE Transactions on Neural Networks and Learning Systems×1
- Nature Methods×1
- Journal of Systems Architecture×1
- Abhishek Bandyopadhyay
Engineering · Purdue University West Lafayette
- Shubham Negi
Engineering · Purdue University West Lafayette
- Roman Fragasse
Engineering · The Ohio State University
- Manish Nagaraj
Engineering · Purdue University West Lafayette
- Xiangyu Zhang
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile