Demo Data from EDBT 2026 / reviewers in the wild / expert
A. J. Christensen 0001
dblp:205/7714 · also Andrew J. Christensen
· DBLP profile ↗
5ranked-venue papers
2as first author
3since 2021 · last 2026
0000-0002-8711-2317ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
3 papers |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Environmental and earth informatics · 67% Computational science and engineering · 33% |
Topics — the 2 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
scientific visualization |
1.4 | 3 | 2024 | Atmospheric Carbon Dioxide Tagged by Source · SIGGRAPH Asia Computer Animation Festival 2024 Cinematic scientific visualization: the art of communicating science · SIGGRAPH Asia 2019 Communicating science through visualization in an age of alternative facts · SIGGRAPH ASIA (Courses) 2017 |
Visualization and visual analytics
visual analytics |
0.1 | 1 | 2017 | Communicating science through visualization in an age of alternative facts · SIGGRAPH ASIA (Courses) 2017 |
Methods — techniques the papers use, named apart from their topics
cinematic rendering · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Shallow Neural Network Training via Atomic Norms and Semidefinite ProgrammingabstractNeural networks have achieved remarkable results across numerous scientific domains because of their ability to uncover complex patterns. However, despite their effectiveness, these networks rely on heuristic training of highly non-convex objective functions, limiting theoretical understanding and practical reliability. Recent work has shown that shallow neural networks with scalar outputs can be formulated as convex optimization problems, bridging empirical success with theory. In this work, we build upon this framework for vector-valued outputs, introducing a convex formulation for two-layer ReLU networks based on an atomic norm and expressible as a semidefinite program (SDP). This yields a principled convex relaxation of multi-output networks that is both expressive and tractable. We validate the approach using standard SDP solvers, demonstrating its feasibility. These results extend convex neural network training beyond scalar outputs and provide a foundation for scalable, robust alternatives to current heuristic deep learning methods. Our method achieved a 7.3% increase in classification accuracy compared to a baseline convex multi-output network. A. J. Christensen 0001, Ananya Sen Gupta |
IEEE Signal Process. Lett. | 1 |
| 2024 | Atmospheric Carbon Dioxide Tagged by SourceabstractScientific visualization of a computer model of global carbon dioxide. A. J. Christensen 0001, Gregory W. Shirah, Helen-Nicole Kostis, Anansa B. Keaton-Ashanti, Mark Subbarao, Brenda Lopez-Silva, Lesley Ott |
SIGGRAPH Asia Computer Animation Festival | 1 |
| 2021 | Multiscale modeling and cinematic visualization of photosynthetic energy conversion processes from electronic to cell scales
Melih Sener, Stuart Levy, John E. Stone, A. J. Christensen 0001, Barry Isralewitz, Robert Patterson, Kalina Borkiewicz, Jeffrey Carpenter, C. Neil Hunter, Zaida Luthey-Schulten, Donna J. Cox |
Parallel Comput. | 4 |
| 2019 | Cinematic scientific visualization: the art of communicating scienceabstractThe Advanced Visualization Lab (AVL) is part of the the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. The AVL is led by Professor Donna Cox, who coined the term "Renaissance Team", with the belief that bringing together specialists of diverse backgrounds creates a team that is greater than the sum of its parts, and members of the AVL team reflect that in our interdisciplinarity. We specialize in creating high-quality cinematic scientific visualizations of supercomputer simulations for public outreach. Kalina Borkiewicz, A. J. Christensen 0001, Drew Berry, Christopher J. Fluke, Gregory W. Shirah, Kel Elkins |
SIGGRAPH Asia | 2 |
| 2017 | Communicating science through visualization in an age of alternative factsabstractcourse Public Access Share on Communicating science through visualization in an age of alternative facts Authors: Kalina Borkiewicz University of Illinois at Urbana-Champaign University of Illinois at Urbana-ChampaignView Profile , A J Christensen University of Illinois at Urbana-Champaign University of Illinois at Urbana-ChampaignView Profile , John E. Stone University of Illinois at Urbana-Champaign University of Illinois at Urbana-ChampaignView Profile Authors Info & Claims SA '17: SIGGRAPH Asia 2017 CoursesNovember 2017 Article No.: 3Pages 1–122https://doi.org/10.1145/3134472.3134488Published:27 November 2017Publication History 0citation291DownloadsMetricsTotal Citations0Total Downloads291Last 12 Months23Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF Kalina Borkiewicz, A. J. Christensen 0001, John E. Stone |
SIGGRAPH ASIA (Courses) | 2 |