research
∙
06/29/2023
A Hybrid System for Systematic Generalization in Simple Arithmetic Problems
Solving symbolic reasoning problems that require compositionality and sy...
share
research
∙
05/11/2023
Investigating the generative dynamics of energy-based neural networks
Generative neural networks can produce data samples according to the sta...
research
∙
03/14/2023
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models
Creating learning models that can exhibit sophisticated reasoning skills...
research
∙
01/17/2023
Learning to solve arithmetic problems with a virtual abacus
Acquiring mathematical skills is considered a key challenge for modern A...
research
∙
11/28/2022
Automated Detection of Dolphin Whistles with Convolutional Networks and Transfer Learning
Effective conservation of maritime environments and wildlife management ...
research
∙
07/12/2022
A developmental approach for training deep belief networks
Deep belief networks (DBNs) are stochastic neural networks that can extr...
research
∙
07/06/2022
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Mathematical reasoning is one of the most impressive achievements of hum...
research
∙
03/08/2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (...
research
∙
01/25/2020
Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance
With the advent of millimeter wave (mmWave) communications, the combinat...
research
∙
12/27/2019
Emergence of Network Motifs in Deep Neural Networks
Network science can offer fundamental insights into the structural and f...
research
∙
08/29/2019
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
Complex phenomena are generally modeled with sophisticated simulators th...
research
∙
07/31/2019
On the difficulty of learning and predicting the long-term dynamics of bouncing objects
The ability to accurately predict the surrounding environment is a found...
research
∙
07/16/2019
Perception of visual numerosity in humans and machines
Numerosity perception is foundational to mathematical learning, but its ...
research
∙
09/28/2018
