42 citations · 78 across the 11 of their papers we have counts for
14 papers
A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling
Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier +2
Understanding the features learned by deep models is important from a model trust perspective, especially as deep systems are deployed in the real world. Most recent approaches for…
Improved Automated Machine Learning from Transfer Learning
Cat P. Le, Mohammadreza Soltani, Robert Ravier +1
In this paper, we propose a neural architecture search framework based on a similarity measure between some baseline tasks and a target task. We first define the notion of the task…
Task-Aware Neural Architecture Search
Cat P. Le, Mohammadreza Soltani, Robert Ravier +1
The design of handcrafted neural networks requires a lot of time and resources. Recent techniques in Neural Architecture Search (NAS) have proven to be competitive or better than t…
Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares
Barak Sober, Robert Ravier, Ingrid Daubechies
The approximation of both geodesic distances and shortest paths on point cloud sampled from an embedded submanifold of Euclidean space has been a long-standing challe…
GeoStat Representations of Time Series for Fast Classification
Robert J. Ravier, Mohammadreza Soltani, Miguel Simões +2
Recent advances in time series classification have largely focused on methods that either employ deep learning or utilize other machine learning models for feature extraction. Thou…
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
Yan Zhang, Robert J. Ravier, Michael M. Zavlanos +1
In this paper, we consider the problem of distributed online convex optimization, where a network of local agents aim to jointly optimize a convex function over a period of multipl…