Publications (39)
Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery
Michael S. Warren, Samuel W. Skillman, Rick Chartrand +4
We present our experiences using cloud computing to support data-intensive analytics on satellite imagery for commercial applications. Drawing from our background in high-performan…
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski, Matthew Turk
Real-world classification tasks are frequently required to work in an open-set setting. This is especially challenging for few-shot learning problems due to the small sample size f…
Comparison of Polarized Radiative Transfer Codes used by the EHT Collaboration
Ben S. Prather, Cora Prather, Jason Dexter +271
Interpretation of resolved polarized images of black holes by the Event Horizon Telescope (EHT) requires predictions of the polarized emission observable by an Earth-based instrume…
The Formation of Submillimetre-Bright Galaxies from Gas Infall over a Billion Years
Desika Narayanan, Matthew Turk, Robert Feldmann +7
Submillimetre-luminous galaxies at high-redshift are the most luminous, heavily star-forming galaxies in the Universe, and are characterised by prodigious emission in the far-infra…
Dynamics and geometry of the inner sub-parsec-scale jet in 3C 279 observed with the Event Horizon Telescope
Hendrik Mueller, Sebastiano D. von Fellenberg, Ai-Ling Zeng +275
The 2021 Event Horizon Telescope observations resolve the innermost jet region of the blazar 3C279 with unprecedented detail. The reconstructed images consistently reveal a compact…
Which Humans? Inclusivity and Representation in Human-Centered AI
Rada Mihalcea, Nazanin Andalibi, David Jensen +3
As AI systems continue to spread and become integrated into many aspects of society, the concept of "human-centered AI" has gained increasing prominence, raising the critical quest…
ANSAC: Adaptive Non-minimal Sample and Consensus
Victor Fragoso, Chris Sweeney, Pradeep Sen +1
While RANSAC-based methods are robust to incorrect image correspondences (outliers), their hypothesis generators are not robust to correct image correspondences (inliers) with posi…
Addressing the Unforeseen Harms of Technology CCC Whitepaper
Nadya Bliss, Kevin Butler, David Danks +2
Recent years have seen increased awareness of the potential significant impacts of computing technologies, both positive and negative. This whitepaper explores how to address possi…
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt +4
Text-to-Image (TTI) generative models have shown great progress in the past few years in terms of their ability to generate complex and high-quality imagery. At the same time, thes…
Large Scale Dynamo in a Primordial Accretion Flow -- An Interpretation from Hydrodynamic Simulation
Wei-Ting Liao, Matthew Turk, Hsi-Yu Schive
Without an existing large scale coherent magnetic field in the early Universe, Population III (PopIII) stars would likely rotate at or near break-up speed. In this work, focusing o…
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
Pushkar Shukla, Dhruv Srikanth, Lee Cohen +1
We propose a novel approach to mitigate biases in computer vision models by utilizing counterfactual generation and fine-tuning. While counterfactuals have been used to analyze and…
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments
Bertram Ludaescher, Kyle Chard, Niall Gaffney +4
We present an overview of the recently funded "Merging Science and Cyberinfrastructure Pathways: The Whole Tale" project (NSF award #1541450). Our approach has two nested goals: 1)…
Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2): Submission, Peer-Review and Sorting Process, and Results
Daniel S. Katz, Gabrielle Allen, Neil Chue Hong +6
This technical report discusses the submission and peer-review process used by the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2) and the r…
Fragmentation in a Primordial Accretion Flow
Wei-Ting Liao, Matthew Turk
Under rapid cooling from molecular hydrogen, the accretion disks around Population III (PopIII) stars are believed to fragment, resulting in multiple accreting cores. In this paper…
Constraints on Hydrodynamical Subgrid Models from Quasar Absorption Line Studies of the Simulated Circumgalactic Medium
Cameron Hummels, Greg Bryan, Britton Smith +1
Cosmological hydrodynamical simulations of galaxy evolution are increasingly able to produce realistic galaxies, but the largest hurdle remaining is in constructing subgrid models…
Concerning the Responsible Use of AI in the US Criminal Justice System
Cristopher Moore, Catherine Gill, Nadya Bliss +8
Artificial intelligence (AI) is increasingly being adopted in most industries, and for applications such as note taking and checking grammar, there is typically not a cause for con…
Locating the missing large-scale emission in the jet of M87* with short EHT baselines
Boris Georgiev, Paul Tiede, Sebastiano D. von Fellenberg +280
In Very-Long Baseline Interferometric arrays, nearly co-located stations probe the largest scales and typically cannot resolve the observed source. In the absence of large-scale st…
Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1)
Daniel S. Katz, Sou-Cheng T. Choi, Hilmar Lapp +12
Challenges related to development, deployment, and maintenance of reusable software for science are becoming a growing concern. Many scientists' research increasingly depends on th…
Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government
Michela Taufer, Rada Mihalcea, Matthew Turk +13
Leadership in the field of AI is vital for our nation's economy and security. Maintaining this leadership requires investments by the federal government. The federal investment in…
Reduced Order Model for Chemical Kinetics: A case study with Primordial Chemical Network
Kwok Sun Tang, Matthew Turk
Chemical kinetics plays an important role in governing the thermal evolution in reactive flows problems. The possible interactions between chemical species increase drastically wit…
Astro2020 APC White Paper: Elevating the Role of Software as a Product of the Research Enterprise
Arfon M. Smith, Dara Norman, Kelle Cruz +42
Software is a critical part of modern research, and yet there are insufficient mechanisms in the scholarly ecosystem to acknowledge, cite, and measure the impact of research softwa…
One-Class Slab Support Vector Machine
Victor Fragoso, Walter Scheirer, Joao Hespanha +1
This work introduces the one-class slab SVM (OCSSVM), a one-class classifier that aims at improving the performance of the one-class SVM. The proposed strategy reduces the false po…
Probing jet base emission of M87* with the 2021 Event Horizon Telescope observations
Saurabh, Hendrik Müller, Sebastiano D. von Fellenberg +282
We investigate the presence and spatial characteristics of the jet base emission in M87* at 230 GHz, enabled by the enhanced uv coverage in the 2021 Event Horizon Telescope (EHT) o…
A search for pulsars around Sgr A* in the first Event Horizon Telescope dataset
Pablo Torne, Kuo Liu, Ralph P. Eatough +282
The Event Horizon Telescope (EHT) observed in 2017 the supermassive black hole at the center of the Milky Way, Sagittarius A* (Sgr A*), at a frequency of 228.1 GHz (=1.3 mm). T…
Full-polarization millimeter wavelength variability of Sagittarius A* during the 2018 EHT campaign
Ezequiel Albentosa-Ruiz, Jasmin E. Washington, Nicola Marchili +272
Sagittarius A* (Srg A*), the supermassive black hole at the center of the Milky Way, provides a unique laboratory to study accretion dynamics and plasma processes near the event ho…
Ring Asymmetry and Spin in M87*
Vadim Bernshteyn, Nicholas S. Conroy, Michi Bauböck +263
Event Horizon Telescope (EHT) images of the supermassive black hole M87* depict an asymmetric ring of emission. General relativistic magnetohydrodynamic (GRMHD) models of M87* and…
Theory-Software Translation: Research Challenges and Future Directions
Caroline Jay, Robert Haines, Daniel S. Katz +10
The Theory-Software Translation Workshop, held in New Orleans in February 2019, explored in depth the process of both instantiating theory in software - for example, implementing a…
Face Verification in Polar Frequency Domain: a Biologically Motivated Approach
Yossi Zana, Roberto M. Cesar-Jr, Rogerio S. Feris +1
We present a novel local-based face verification system whose components are analogous to those of biological systems. In the proposed system, after global registration and normali…
Spezi Data Pipeline: Streamlining FHIR-based Interoperable Digital Health Data Workflows
Vasiliki Bikia, Paul Schmiedmayer, Aydin Zahedivash +6
The increasing adoption of digital health technologies has amplified the need for robust, interoperable solutions to manage complex healthcare data. We present the Spezi Data Pipel…
Origin of the ring ellipticity in the black hole images of M87*
Rohan Dahale, Ilje Cho, Kotaro Moriyama +273
We investigate the origin of the elliptical ring structure observed in the images of the supermassive black hole M87*, aiming to disentangle contributions from gravitational, astro…
What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
Pushkar Shukla, Carlos Elmadjian, Richika Sharan +3
The ability to engage in goal-oriented conversations has allowed humans to gain knowledge, reduce uncertainty, and perform tasks more efficiently. Artificial agents, however, are s…
Large Scale SfM with the Distributed Camera Model
Chris Sweeney, Victor Fragoso, Tobias Hollerer +1
We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with ray origins and direct…
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models
Pushkar Shukla, Aditya Chinchure, Emily Diana +5
The biases exhibited by text-to-image (TTI) models are often treated as independent, though in reality, they may be deeply interrelated. Addressing bias along one dimension - such…
Broadband multiwavelength properties of the archetypal blazar 3C 279 during the 2017 Event Horizon Telescope campaign
G. Principe, J. C. Algaba, E. Aviano +529
The archetypal blazar 3C 279 hosts a prominent relativistic jet and exhibits strong broadband variability across the electromagnetic spectrum. In April 2017, the Event Horizon Tele…
A multi-frequency study of sub-parsec jets with the Event Horizon Telescope
Jan Röder, Maciek Wielgus, Andrei P. Lobanov +287
The 2017 observing campaign of the Event Horizon Telescope (EHT) delivered the first very long baseline interferometry (VLBI) images at the observing frequency of 230 GHz, leading…
The putative center in NGC 1052
Anne-Kathrin Baczko, Matthias Kadler, Eduardo Ros +284
Many active galaxies harbor powerful relativistic jets, however, the detailed mechanisms of their formation and acceleration remain poorly understood. To investigate the area of je…
First Very Long Baseline Interferometry Detections at 870μm
Alexander W. Raymond, Sheperd S. Doeleman, Keiichi Asada +276
The first very long baseline interferometry (VLBI) detections at 870m wavelength (345GHz frequency) are reported, achieving the highest diffraction-limited angular resoluti…
The AGORA High-resolution Galaxy Simulations Comparison Project. III: Cosmological zoom-in simulation of a Milky Way-mass halo
Santi Roca-FÃ brega, Ji-hoon Kim, Loic Hausammann +20
We present a suite of high-resolution cosmological zoom-in simulations to of a halo at , obtained using seven contemporary astrophysical simul…
Sparse Fusion for Multimodal Transformers
Yi Ding, Alex Rich, Mason Wang +4
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be…