715 citations · 1.4k across the 35 of their papers we have counts for
6 papers · 1 filter
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
Naman Patel, Apoorva Nandini Saridena, Anna Choromanska +2
The paper proposes an on-line monitoring framework for continuous real-time safety/security in learning-based control systems (specifically application to a unmanned ground vehicle…
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel +8
Despite significant recent advances in deep neural networks, training them remains a challenge due to the highly non-convex nature of the objective function. State-of-the-art metho…
VisualBackProp for learning using privileged information with CNNs
Devansh Bisla, Anna Choromanska
In many machine learning applications, from medical diagnostics to autonomous driving, the availability of prior knowledge can be used to improve the predictive performance of lear…
Invertible Autoencoder for domain adaptation
Yunfei Teng, Anna Choromanska, Mariusz Bojarski
The unsupervised image-to-image translation aims at finding a mapping between the source () and target () image domains, where in many applications aligned image pairs are no…
LSALSA: Accelerated Source Separation via Learned Sparse Coding
Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska
We propose an efficient algorithm for the generalized sparse coding (SC) inference problem. The proposed framework applies to both the single dictionary setting, where each data po…
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Shervin Minaee, Yao Wang, Anna Choromanska +6
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and sym…