papers

Publications (21)

cs.HC2020

Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies

Mariah L. Schrum, Michael Johnson, Muyleng Ghuy +1

As robots become more prevalent, the importance of the field of human-robot interaction (HRI) grows accordingly. As such, we should endeavor to employ the best statistical practice…

cs.CV2025

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency

Hiroshi Tanaka, Anika Rao, Hana Satou +2

Multimodal Large Models (MLLMs) have achieved remarkable progress in vision-language understanding and generation tasks. However, existing MLLMs typically rely on static modality f…

astro-ph.IM2024

The Black Hole Explorer Cryocooling Instrument

Hannah Rana, Kazunori Akiyama, Edgar Canavan +10

The Black Hole Explorer (BHEX) is a space-based very-long baseline interferometry (VLBI) mission aimed at precision black hole measurements, detecting the photon ring around black…

math.DS2009

Powers of sequences and convergence of ergodic averages

Nikos Frantzikinakis, Michael Johnson, Emmanuel Lesigne +1

A sequence of integers is good for the mean ergodic theorem if for each invertible measure preserving system and any bounded measurable function ,…

math.CT2021

The more legs the merrier: A new composition for symmetric (multi-)lenses

Michael Johnson, Robert Rosebrugh

Lenses are a category theoretic construct and are used in a wide variety of applications. Symmetric lenses compose to, of course, form new symmetric lenses. Symmetric lenses are us…

stat.ME2021

Detecting Heterogeneous Treatment Effect with Instrumental Variables

Michael Johnson, Jiongyi Cao, Hyunseung Kang

There is an increasing interest in estimating heterogeneity in causal effects in randomized and observational studies. However, little research has been conducted to understand het…

stat.ML2026

Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals

Mathew Chandy, Michael Johnson, Judong Shen +4

Multimodal learning combines information from multiple data modalities to improve predictive performance. However, modalities often contribute unequally and in a data dependent way…

math.DS2025

Interacting Hosts with Microbiome Exchange: An Extension of Metacommunity Theory for Discrete Interactions

Michael Johnson, Mason A. Porter

Microbiomes, which are collections of interacting microbes in an environment, often substantially impact the environmental patches or living hosts that they occupy. In microbiome m…

cs.CG2023

Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites

Abigail Hickok, Benjamin Jarman, Michael Johnson +2

It is important to choose the geographical distributions of public resources in a fair and equitable manner. However, it is complicated to quantify the equity of such a distributio…

cs.LO2025

Proceedings Seventh International Conference on Applied Category Theory 2024

Michael Johnson, David Jaz Myers

Proceedings of the Seventh International Conference on Applied Category Theory, held at the University of Oxford on 17 - 21 June 2024. The contributions to ACT 2024 ranged from pur…

astro-ph.IM2020

A Prospective ISRO-CfA Himalayan Sub-millimeter-wave Observatory Initiative

T. K. Sridharan, Shmuel Bialy, Raymond Blundell +20

The Smithsonian Astrophysical Observatory (SAO), a member of the Center for Astrophysics | Harvard and Smithsonian, is in discussions with the Space Applications Centre (SAC) of th…

math.CT2022

Limits and Colimits in a Category of Lenses

Emma Chollet, Bryce Clarke, Michael Johnson +3

Lenses are an important tool in applied category theory. While individual lenses have been widely used in applications, many of the mathematical properties of the corresponding cat…

astro-ph.HE2020

Decomposing the Internal Faraday Rotation of Black Hole Accretion Flows

Angelo Ricarte, Ben S. Prather, George N. Wong +3

Faraday rotation has been seen at millimeter wavelengths in several low luminosity active galactic nuclei, including Event Horizon Telescope (EHT) targets M87* and Sgr A*. The obse…

cs.LG2019

Lenses and Learners

Brendan Fong, Michael Johnson

Lenses are a well-established structure for modelling bidirectional transformations, such as the interactions between a database and a view of it. Lenses may be symmetric or asymme…

astro-ph.IM2017

Enabling New ALMA Science with Improved Support for Time-Domain Observations

Kate D. Alexander, Edo Berger, Geoff Bower +34

While the Atacama Large Millimeter/submillimeter Array (ALMA) is a uniquely powerful telescope, its impact in certain fields of astrophysics has been limited by observatory policie…

math.GM2026

Counting Votes with Multisets

Bart Jacobs, Michael Johnson, Richard Buckland

A multiset is a 'set' in which elements may occur multiple times. These structures are ideal for expressing the outcome of an election, for instance of the form 60 'yes' and 40 'no…

astro-ph.HE2022

Relativistic Signatures of Flux Eruption Events Near Black Holes

Zachary Gelles, Koushik Chatterjee, Michael Johnson +2

Images of supermassive black holes produced using very long baseline interferometry provide a pathway to directly observing effects of a highly curved spacetime, such as a bright `…

astro-ph.IM2022

Rubin Observatory LSST Transients and Variable Stars Roadmap

Kelly M. Hambleton, Federica B. Bianco, Rachel Street +79

The Vera C. Rubin Legacy Survey of Space and Time holds the potential to revolutionize time domain astrophysics, reaching completely unexplored areas of the Universe and mapping va…

cs.LG2019

Regression with Uncertainty Quantification in Large Scale Complex Data

Nicholas Wilkins, Michael Johnson, Ifeoma Nwogu

While several methods for predicting uncertainty on deep networks have been recently proposed, they do not readily translate to large and complex datasets. In this paper we utilize…

astro-ph.HE2018

A Model for Anisotropic Interstellar Scattering and its Application to Sgr A*

Dimitrios Psaltis, Michael Johnson, Ramesh Narayan +3

Scattering in the ionized interstellar medium is commonly observed to be anisotropic, with theories of magnetohydrodynamic (MHD) turbulence explaining the anisotropy through a pref…

hep-ex2011

Deep Underground Science and Engineering Laboratory - Preliminary Design Report

Kevin T. Lesko, Steven Acheson, Jose Alonso +48

The DUSEL Project has produced the Preliminary Design of the Deep Underground Science and Engineering Laboratory (DUSEL) at the rehabilitated former Homestake mine in South Dakota.…