SOCR JMM 2023
Contents
SOCR News & Events: 2023 JMM/AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data
Overview
The accelerated rate of increase of data volume and heterogeneity requires novel mathematical foundations for representation, modeling, analysis and interpretation of complex multisource information. This special session will explore the mathematical, physical, and computational aspects of tensors, as one promising direction for data compression, classification, model-based and model-free inference. By bringing together a broad range of experts, the session will provide a platform for open exchange of ideas, reports of recent developments, cross-fertilization of new techniques, translation of mathematical models into data analytic techniques, and the embedding of application-specific constraints into mathematical formulations.
The session talks will cover new mathematical, computational, and statistical approaches for tensor-based representation, modeling and inference with direct applications to high-dimensional and longitudinal data. Talks will cover coupled tensor-tensor completion strategies, complex time (kime) representation and tensor linear modeling of kimesurfaces, and current advances in tensor computing. Various data science, biomedical health, environmental, climate, and econometrics applications will be showcased.
Organizers
Session Logistics
- Date/Time:
- Venue: Hynes Convention Center, Room 206.
- Registration: Meeting Registration is required.
- Conference: 2023 Joint Mathematics Meeting (JMM), session 2270:SS19 (A, B, C).
- Session Format: Three half-day sessions, each 5-hours with 10 20+5+5 minute talks.
- Equipment: Computer projector and screen with HDMI connection. Session room does not include overhead transparency projectors, computers/laptops, blackboards or whiteboards.
- AMS Special Session Manual: AMS/JMM Session Manual.
- Paper Abstract Submission, click on the AMS (American Mathematical Society) “BEGIN A SUBMISSION” button. Deadline for abstract submission is September 13, 2022.
- Session URL: https://myumi.ch/DJ75R.
Abstract Submission
The organizers of this special session on Tensor Representation, Completion, Modeling and Analytics of Complex Data invite abstract submission for at the upcoming Joint Mathematics Meetings in Boston, MA, January 4-7, 2023 (Wednesday-Saturday). This 3-part session will meet on Wed-Thu January 4-5, 2023. Submission of abstracts for invited talks [20+5+5]-minute are welcome until the deadline, September 13, 2022. The JMM 2023 homepage contains a wealth of information about the JMM 2023 conference and this special session. Here are some AMS policies concerning special sessions:
- Each speaker *must* submit an abstract before a talk can be scheduled. must be submitted electronically through the AMS portal, then click on the AMS (American Mathematical Society) “BEGIN A SUBMISSION” button.
- Please note the deadline of *September 13* for abstract submission. We strongly encourage you to submit your abstract at least a week before that deadline in order to avoid any last-minute problems. When the "Conclude Submission" button is clicked, an email will be sent to the Presenting Author's email and the Submitter's email confirming receipt of the submission. Please note your abstract is *NOT* submitted until you click the "Conclude Submission" button.
- Your talk must be delivered in person, via a computer projection system. Please note that overhead projectors will not be provided for sessions. Also, the meeting rooms will not have blackboards or whiteboards.
- The AMS does not pay any expenses of faculty attending special sessions. However, PhD students are encouraged to apply for travel funding from AMS. The AMS also has a program of child care grants for all JMM attendees (faculty, students, etc.). Note that these programs have their own deadlines and application procedures.
- Everyone who attends the meeting is required to pay a registration fee.
Program
Session 1 (Wed 1/4/23, 8AM-12PM)
| Time US ET timezone (GMT-5) | Presenter/Affiliation | Title | Classification - Abstract ID |
|---|---|---|---|
| 8:00AM | Mason A Porter / UCLA | Node Centralities in Multilayer Networks | 15A99-17029 |
| 8:30AM | Alex Townsend / Cornell | Why are so many matrices and tensors compressible? | 15-02-20266 |
| 9:00AM | Joe Kileel / Texas | Estimation in Mixture Models Through Implicit Tensor Decomposition | 65F99-21426 |
| 9:30AM | Luke Oeding / Auburn University | Dimensions of Restricted Secant Varieties of Grassmannians | 15A69-22223 |
| 10:00AM | John Blake Temple / UC-Davis | On the regularity implied by the assumptions of geometry | 53B30-22415 |
| 10:30 AM | Yizhe Zhu / UC-Irvine | Non-backtracking spectra of random hypergraphs and community detection | 60C05-18313 |
| 11:00 AM | Bruno N. de Oliveira / University of Miami | Abundance of symmetric differential tensors, birational geometry of surfaces and hypersurfaces in \(\mathbb{P}^3\) | 14J60-22507 |
| 11:30 AM | Ivo Dinov /Michigan | Quantum Physics, Data Science, Tensor Linear Modeling, and Spacekime Analytics | 81Q65-14771 |
Session 2 (Wed 1/4/23, 1PM-6PM)
Session 2 (2270:SS19B): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data II Date: Wednesday, January 4, 2023, Time: 1:00 – 6:00 PM, Location: Hynes Convention Center - 206
| Time US ET timezone (GMT-5) | Presenter/Affiliation | Title | Classification - Abstract ID |
|---|---|---|---|
| 1:00PM | Anru Zhang / Duke | Tensor Learning in 2020s: Methodology, Theory, and Applications | 62H99-17081 |
| 1:30PM | Giuseppe Cotardo / Virginia Tech | The Tensor Rank in Coding Theory | 03D15-20548 |
| 2:00PM | Edinah Koffi Gnang / Johns Hopkins | On the complexity of hypermatrix equivalence | 15-02-20813 |
| 2:30PM | Hirotachi (Hiro) Abo / Idaho | Algebro-geometric approaches to the tensor eigenproblem | 15A69-20858 |
| 3:00PM | Oscar Fabian Lopez / Florida Atlantic | Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros | 15B99-21425 |
| 3:30PM | Anna Konstorum / Yale | Optimizing component recovery in CP decomposition of immunology data | 92-08-21503 |
| 4:00PM | Tianyi Shi / Lawrence Berkeley National Laboratory | Tensor equation methods for electron correlation energy computation | 65F99-21870 |
| 4:30PM | Jonathan Gryak / CUNY | Tensor Denoising via Amplification and Stable Rank Methods | 15A72-22096 |
| 5:00PM | M. Alex O. Vasilescu / UCLA | Kernel Tensor Factor Analysis | 15-06-22645 |
Session 2 (Wed 1/4/23, 1PM-6PM)
Session 2 (2270:SS19B): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data II Date: Wednesday, January 4, 2023, Time: 1:00 – 6:00 PM, Location: Hynes Convention Center - 206
| Time US ET timezone (GMT-5) | Presenter/Affiliation | Title | Classification - Abstract ID |
|---|---|---|---|
| 1:00PM | Anru Zhang / Duke | Tensor Learning in 2020s: Methodology, Theory, and Applications | 62H99-17081 |
| 1:30PM | Giuseppe Cotardo / Virginia Tech | The Tensor Rank in Coding Theory | 03D15-20548 |
| 2:00PM | Edinah Koffi Gnang / Johns Hopkins | On the complexity of hypermatrix equivalence | 15-02-20813 |
| 2:30PM | Hirotachi (Hiro) Abo / Idaho | Algebro-geometric approaches to the tensor eigenproblem | 15A69-20858 |
| 3:00PM | Oscar Fabian Lopez / Florida Atlantic | Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros | 15B99-21425 |
| 3:30PM | Anna Konstorum / Yale | Optimizing component recovery in CP decomposition of immunology data | 92-08-21503 |
| 4:00PM | Tianyi Shi / Lawrence Berkeley National Laboratory | Tensor equation methods for electron correlation energy computation | 65F99-21870 |
| 4:30PM | Jonathan Gryak / CUNY | Tensor Denoising via Amplification and Stable Rank Methods | 15A72-22096 |
| 5:00PM | M. Alex O. Vasilescu / UCLA | Kernel Tensor Factor Analysis | 15-06-22645 |
Speakers, Titles, and Abstracts
- ...
- Ivo D. Dinov (University of Michigan): ...title... ([TBD Abstract ###])
- ... abstract...
Resources
- Session Flier
- Slides/papers ... coming up later ...
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