SOCR JMM 2023

SOCR News & Events: 2023 JMM/AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data

2023 JMM/AMS Tensor Analytics Session

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

• Ivo Dinov, University of Michigan, SOCR, MIDAS.
• Joshua Welch, University of Michigan, WelchLab.

Session Logistics

2023 JMM/AMS Tensor Reps & Analytics

• Date/Time:
  • Session 1 (2270:SS19A): Wed Jan. 4, 2023, 8:00AM - 12:00PM, US Eastern time zone (GMT-4)
  • Session 2 (2270:SS19B): Wed Jan. 4, 2023, 1:00PM - 6:00PM, US Eastern time zone (GMT-4)
  • Session 3 (2270:SS19C): Thu Jan. 5, 2023, 8:00AM - 12:00PM, US Eastern time zone (GMT-4)
• 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. The deadline for submission of invited abstracts has passed (September 13, 2022). Interested presenters are encouraged to submit contributed talk abstracts.
• JMM'23 policies/procedures
• 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 (SS19A, Wed 1/4/23, 8AM-12PM)

Session 1 (2270:SS19A): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data I; Date: Wednesday, January 4, 2023, Time: 8:00AM – 12:00 PM, Location: Hynes Convention Center - 206

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 (Talk Cancelled due to Visa Complications)	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 3 (Thu 1/5/23, 8AM-11:30AM)

Session 3 (2270:SS19C): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data III Date: Thursday, January 5, 2023, Time: 8:00 – 11:30 AM, Location: Hynes Convention Center - 206

Time US ET timezone (GMT-5)	Presenter/Affiliation	Title	Classification - Abstract ID
8:00AM	Elina Robeva / UBC	High-order Cumulants for Learning Linear Non-Gaussian Causal Models	62H22-18002
8:30AM	Zhen Dai / Chicago	From tensor rank to the inversion of a complex matrix	65F05-19986
9:00AM	Eric Evert / KU Leuven	Best low rank approximations of positive definite tensors	15-02-20965
9:30AM	Hajer Bouzaouache / University Tunis, El Manar	On the Importance of Tensor representation in the stability analysis of Nonlinear systems	93D05-22326
10:00AM	Rachel Minster / Wake Forest University	Randomized Parallel Algorithms for Tucker Decompositions	65F99-21497
10:30AM	Harm Derksen / Northeastern	Tensor Denoising via Amplification and Stable Rank Methods	15-02-20663
11:00AM	Maryam Bagherian / Michigan	Tensor Recovery Under Metric Learning Constraints	68U99-18227

Speakers, Titles, and Abstracts

• Session 1 (2270:SS19A): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data I; Date: Wednesday, January 4, 2023, Time: 8:00AM – 12:00 PM, Location: Hynes Convention Center - 206.
• Session 1 (2270:SS19A): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data I; Date: Wednesday, January 4, 2023, Time: 8:00AM – 12:00 PM, Location: Hynes Convention Center - 206.
• Session 3 (2270:SS19C): AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data III; Date: Thursday, January 5, 2023, Time: 8:00 – 11:30 AM, Location: Hynes Convention Center - 206.

Resources

• Session Flier
• Slides/papers ...
  • Quantum Physics, Data Science, Tensor Linear Modeling, and Spacekime Analytics (Ivo Dinov)
  • Tensor recovery under metric learning constraints (Maryam Bagherian)
  • Estimation in Mixture Models through Implicit Tensor Decompositions (Joe Kileel)
  • Dimensions of Restricted Secant Varieties of Grassmannians (Luke Oeding)
  • Non-backtracking spectra of random hypergraphs and community detection (Yizhe Zhu)
  • The Tensor Rank in Coding Theory (Giuseppe Cotardo)
  • Node Centralities in Multilayer Networks (Mason Porter)
  • Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros (Oscar Lopez)
  • Algebro-geometric approaches to the tensor eigenproblem (Hiro Abo)
  • Tensor Denoising via Amplification and Stable Rank Methods (Jonathan Gryak)
  • Parallel Randomized Tucker Decomposition Algorithms (Rachel Minster's arXiv paper)
  • Algebraic Methods for Tensor Data (Harm Derksen's SIAM 2021 paper)
  • Randomized Algorithms for Tensor Decompositions in the Tucker Format (Rackel Misnter)
  • On the Regularity Implied by the Hypotheses of Geometry (Blake Temple)
  • Optimizing component recovery in CP decomposition of immunology data (Anna Konstorum)
  • From Tensor Rank to the Inversion of a Complex Matrix (Zhen Dai)
  • ...

---

---

---

Translate this page:

(default)	Deutsch	Español	Français	Italiano	Português	日本語	България	الامارات العربية المتحدة	Suomi	इस भाषा में	Norge
한국어	中文	繁体中文	Русский	Nederlands	Ελληνικά	Hrvatska	Česká republika	Danmark	Polska	România	Sverige