activity
20222026
most citedInterpretable by Design: Learning Predictors by Composing Interpretable Queries

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

BLISS: Global Blind Identification of Linear Systems with Sparse Inputs

Kyle Poe, Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele +1

Linear system identification and sparse dictionary learning can both be seen as structured matrix factorization problems. However, these two problems have historically been studied…

eess.SY2025

Nonconvex Linear System Identification with Minimal State Representation

Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg +2

Low-order linear System IDentification (SysID) addresses the challenge of estimating the parameters of a linear dynamical system from finite samples of observations and control inp…

cs.LG2024

A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks

Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg +1

We propose a general framework for deriving generalization bounds for parallel positively homogeneous neural networks--a class of neural networks whose input-output map decomposes…

cs.LG2023

Variational Information Pursuit for Interpretable Predictions

Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele +2

There is a growing interest in the machine learning community in developing predictive algorithms that are "interpretable by design". Towards this end, recent work proposes to make…

cs.LG2022★ 1 cited

Learning Globally Smooth Functions on Manifolds

Juan Cervino, Luiz F. O. Chamon, Benjamin D. Haeffele +2

Smoothness and low dimensional structures play central roles in improving generalization and stability in learning and statistics. This work combines techniques from semi-infinite…

cs.CV2022★ 1 cited

Interpretable by Design: Learning Predictors by Composing Interpretable Queries

Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele +2

There is a growing concern about typically opaque decision-making with high-performance machine learning algorithms. Providing an explanation of the reasoning process in domain-spe…

physics.med-ph2022

Lens free holographic imaging for urinary tract infection screening

Gregory N. McKay, Anisha Oommen, Carolina Pacheco +5

Urinary tract infections (UTIs) are a common condition that can lead to serious complications including kidney injury, altered mental status, sepsis, and death. Laboratory tests su…