Dean Spade is a white trans activist, writer and teacher. He founded the Sylvia Rivera Law Project, a non-profit law collective that provides free legal services to transgender, intersex and gender non-conforming people who are low-income and/or people of color. He is the author of the book Normal Life: Administrative Violence, Critical Trans Po...
Joey Mogul is a white civil rights attorney who at the time of this interview was a partner at the People's Law Office in Chicago, Illinois. Mogul’s practice focuses on representing people who have suffered from police and other governmental torture, abuse and misconduct in civil rights cases, and defending individuals in criminal and capital ca...
Founder and Artistic Director Shannon TL Kearns and actor Ashley Hovell join BiCities! to discuss their work at Uprising Theatre Company. Uprising embodies a vision of staging works that tackle complex issues with a cast and crew comprising many marginalized communities, especially trans and non-binary folks, so they can tell their own stories. ...
Photographs from University of Minnesota Duluth Theatre’s 2019 production of An Enemy of the People. Run dates: November 7-16, 2019. Venue: Marshall Performing Arts Center Dudley Experimental Theatre. Director: Tom Isbell. Cast list--Dr. Thomas Stockmann: Addison Sim; Katherine Stockmann: Jenessa Iverson; Petra Stockmann: Rachel Williams; Peter ...
Creator:
Groehler, Brett
Created:
2019-11
Contributed By:
Archives and Special Collections, Kathryn A. Martin Library, University of Minnesota Duluth
Magnetic Resonance Fingerprinting (MRF) is a novel approach to collecting quantitative maps of MRI tissue properties in an efficient manner. Instead of focusing on collecting images weighted by specific tissue properties and using them to extract quantitative information, MRF works by extracting these quantitative maps directly from rapidly coll...
Creator:
Seiberlich, Nicole (University of Michigan)
Created:
2019-10-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We present synthetic aperture radar (SAR) as a computational imaging modality, emphasizing aspects of radar that differentiate it from other imaging problems. In this context, we present samples of work resulting from two related lines of inquiry in our group: (1) sparsity-driven radar imaging, and (2) machine learning for radar imaging. Specifi...
Creator:
Cetin, Mujdat (University of Rochester)
Created:
2019-10-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The lens has long been a central element of cameras, since its early use in the mid-nineteenth century by Niepce, Talbot, and Daguerre. The role of the lens, from the Daguerrotype to modern digital cameras, is to refract light to achieve a one-to-one mapping between a point in the scene and a point on the sensor. This effect enables the sensor t...
Creator:
Veeraraghavan, Ashok (Rice University)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The talk will provide an overview of structured low-rank algorithms and model based deep learning methods, with applications to MR imaging. I will briefly introduce structured low-rank algorithms for super-resolution, blind channel equalization, and inverse problems. The talk will then focus on non-linear generalizations of structured low-rank m...
Creator:
Jacob, Mathews (The University of Iowa)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We demonstrate a single-shot multispectral imaging system using a fundamentally different approach compared with present-day methods. Conventional multispectral imagers utilize narrowband spectral filters, which makes the system application-specific. By using filters with sinusoidally varying transmittance, known as Fourier filters, we demonstra...
Creator:
Hirakawa, Keigo (University of Dayton)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Noise in imaging systems rarely conforms to the simple IID additive white Gaussian noise model. This talk starts with a brief overview of alternative noise models that can be adopted in practical applications. We emphasize two noise models: signal-dependent variance models and stationary spatially correlated models. We particularly focus on the ...
Creator:
Foi, Alessandro (Tampere University of Technology)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this talk, I will provide an introduction to the use of machine learning and convolutional neural networks (CNNs) in the area of MR image reconstruction. Building on a general framework of inverse problems and variational optimization, I will focus on application examples from image reconstruction for accelerated Magnetic Resonance (MR) imagi...
Creator:
Knoll, Florian (NYU Langone Medical Center)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This talk describes three recent proposals in the area of patch-based image denoising. The first one is a simple post-processing technique for Poisson denoisers, based on classical linear minimum mean squared error (MMSE) estimation, which is able to squeeze a few extra tenths of dB of ISNR from several state-of-the-art Poisson denoisers and to ...
Creator:
Figueiredo, Mario (Instituto Superior Tecnico)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Coherent sensing of light has the potential to revolutionize optics in much the same way that coherent RF processing revolutionized communications and RADAR. The power of this approach is that once optical measurements are converted to digital form, they can be processed with advanced, nonlinear, highly intelligent algorithms that can far exceed...
Creator:
Bouman, Charles (Purdue University)
Created:
2019-10-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Computed Tomography is a non-invasive computational imaging modality with applications ranging from healthcare to security. It reconstructs cross-sectional images of an object using a collection of projection data collected at different angles. Conventional methods, such as FBP, require that the projection data be uniformly acquired over the com...
Creator:
Karl, W. Clem (Boston University)
Created:
2019-10-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
A Generative Adversarial Network (GAN) trained to model the prior of images has been shown to perform better than sparsity-based regularizers in ill-posed inverse problems. We describe an approach along these lines, with some modifications and refinements, with the following features: (1) on a given class of images, it addresses different linear...
Creator:
Bresler, Yoram (University of Illinois at Urbana-Champaign)
Created:
2019-10-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Computer vision and image analysis are major application examples of deep learning. While computer vision and image analysis deal with existing images and produce features of these images (images to features), tomographic imaging produces images of multi-dimensional structures from experimentally measured “encoded” data as various tomographic fe...
Creator:
Wang, Ge (Rensselaer Polytechnic Institute)
Created:
2019-10-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
While x-ray computed tomography is a mature technology that is used for a wide range of diagnoses, there continue to be new untapped strategies to collect more information and to enable more efficient data collections (e.g. increased image quality and/or lower x-ray exposures). This talk will review new approaches that involve spatial and/or spe...
Creator:
Stayman, Joseph (Johns Hopkins University)
Created:
2019-10-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Neural networks have surpassed the performance of virtually any traditional computer vision algorithm thanks to their ability to learn priors directly from the data. The common and relatively simple encoder/decoder architecture, for instance, has pushed the state-of-the-art of a number of tasks, from optical flow estimation, to image deblurring,...
Creator:
Gallo, Orazio (NVIDIA Corporation)
Created:
2019-10-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Acoustic- and elastic-waveform inversion is an important and widely used method to reconstruct subsurface velocity images. Waveform inversion is a typical non-linear and ill-posed inverse problem. Existing physics-driven computational methods for solving waveform inversion suffer from the cycle skipping and local minima issues, and not to mentio...
Creator:
Lin, Youzuo (Los Alamos National Laboratory)
Created:
2019-10-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Cryo-electron microscopy (EM) single particle reconstruction is an entirely general technique for 3D structure determination of macromolecular complexes. However, because the images are taken at low electron dose, it is extremely hard to visualize the individual particle with low contrast and high noise level. In this lecture, I will introduce a...
Creator:
, Zhizhen (Jane) Zhao
Created:
2019-10-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This talk will present the methods and procedures used to produce the first image of a black hole from the computational Event Horizon Telescope. It has been theorized for decades that a black hole will leave a "shadow" on a background of hot gas. Taking a picture of this black hole shadow could help to address a number of important scientific q...
Creator:
Bouman, Katie (California Institute of Technology)
Created:
2019-10-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. Computers can replace bulky and expensive optics by solving computational inverse problems. This talk will describe new microscopes that use computational imaging to enable 3D fluoresc...
Creator:
Waller, Laura (University of California, Berkeley)
Created:
2019-10-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Modern large-scale machine learning models are often trained by the parallel stochastic gradient descent algorithm or its variants on distributed systems with parameter servers or master/worker nodes. However, the communications of the gradient aggregation and model synchronization between the master and worker nodes are the major obstacles for ...
Creator:
Yan, Ming (Michigan State University)
Created:
2019-10-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This lecture gives an overview of methods for scan time reduction in quantitative MRI based on regularized image reconstruction. Besides the generic constraints that can be used for image series, the known signal model in quantitative MRI permits designing a model-based constraint tailored to the specific application. This is a much stronger pri...
Creator:
Doneva, Mariya (Philips Research Laboratory)
Created:
2019-10-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In our interview, conference presenters @BECAUSE 2019 Jim Larson and Jamie Ann Myers share many useful tools and practices to help Bi+ and Trans Folx safely navigate the kink and swinging lifestyles. They also talk about what people can expect in safe and supportive swinging and kink groups, as well as some red flags that may lead them to choose...
Contributor:
Larson, Jim (Guest); Meyers, Jamie Ann (Guest)
Created:
2019-10-14
Contributed By:
University of Minnesota Libraries, Jean-Nickolaus Tretter Collection in Gay, Lesbian, Bisexual and Transgender Studies.
Single-photon lidar systems form range and reflectivity images using detectors with single-photon sensitivity. Some focused ion beam (FIB) and electron microscopy systems use direct detection of secondary electrons to maximize resolution. This talk will discuss recent results on the interpretation of single-photon and single-electron data that y...
Creator:
Goyal, Vivek (Boston University)
Created:
2019-10-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Discussing current trends in silicon technology influencing image sensor design - stacking silicon is a way to mitigate moving technology to a next silicon node while maintaining the trend of density increase in integrated circuits. Several examples of stacked image sensors will be discussed. Stacking image sensors with computational elements ca...
Creator:
Goma, Sergio (QUALCOMM)
Created:
2019-10-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Julia is a relatively new programming language that combines many of the best features of languages like Python and tools like Matlab. One interacts with Julia like other high-level scripting languages, e.g., through Jupyter notebooks, yet Julia has excellent computational performance because it is built on top of the LLVM compiler. This tutoria...
Creator:
Fessler, Jeff (University of Michigan)
Created:
2019-10-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Today's interview is with Melinda Brown, who is the women and gender studies librarian at Vanderbilt University in Nashville, Tennessee. She spoke with us about her own experiences of Bi+ identity and activism in Nashville as well as the workshop she presented at BECAUSE on ways for organizations and activists to cultivate genuine inclusion of m...
Contributor:
Brown, Melinda (Guest)
Created:
2019-10-07
Contributed By:
University of Minnesota Libraries, Jean-Nickolaus Tretter Collection in Gay, Lesbian, Bisexual and Transgender Studies.
As researchers gather ever-larger datasets there is an increasing demand for citizen science and reliance on machine learning. We will introduce Zooniverse, the world's largest citizen science platform, and show how citizen scientists are helping researchers extract meaningful information from their data. But the demand for citizen scientists an...
Creator:
Wright, Darryl (University of Minnesota, Twin Cities)
Created:
2019-10-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Photographs from University of Minnesota Duluth Theatre’s 2019 production of The 25th Annual Putnam County Spelling Bee. Run dates: October 3-12, 2019. Venue: Marshall Performing Arts Center Mainstage Theatre. Director: Jenna Soleo-Shanks. Cast list--Rona Lisa Peretti: Hayley Rosenthal; Chip Tolentino: Ben Knowlton; Logainne Schwartzandgrubenier...
Creator:
Hunter, Madison
Created:
2019-10
Contributed By:
Archives and Special Collections, Kathryn A. Martin Library, University of Minnesota Duluth
The phase retrieval problem is the problem of reconstructing an unknown signal from its Fourier intensity function. This problem has a long history in physics and engineering and occurs in contexts such as X-ray crystallography, speech processing and computational biology. As stated, the phase retrieval problem is ill-posed as there may be up to...
Creator:
Edidin, Dan (University of Missouri)
Created:
2019-09-24
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
For deep nets we examine contraction properties of complexity for each layer of the network. For any ReLU network there is, without loss of generality, a representation in which the sum of the absolute values of the weights into each node is exactly 1, and the input layer variables are multiplied by a value V coinciding with the total variation ...
Creator:
Barron, Andrew (Yale University)
Created:
2019-09-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This talk will focus on recent connections between nonlinear PDEs and regularization in machine learning. First, we will consider graph-based semi-supervised learning, where graph Laplacian regularization is widely used. In the limit of vanishingly few labels, Laplacian learning is ill-posed, returning nearly the same label for all data points. ...
Creator:
Calder, Jeff (University of Minnesota, Twin Cities)
Created:
2019-09-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Essentially a form of targeted dimension reduction, an envelope is a construct for increasing efficiency of multivariate methods without altering traditional goals, sometimes producing gains equivalent to increasing the sample size many times over. Recognizing that the data may contain unanticipated variation that is effectively immaterial to es...
Creator:
Cook, Dennis (University of Minnesota, Twin Cities)
Created:
2019-09-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This talk introduces a nonparametric framework for analyzing physiological sensor data collected from wearable devices. The idea is to apply the stochastic process notion of occupation times to construct activity profiles that can be treated as monotonically decreasing functional data. Whereas raw sensor data typically need to be pre-aligned bef...
Creator:
McKeague, Ian (Columbia University)
Created:
2019-09-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We present three examples from central problems in machine learning: sparse regression, stable regression and matrix completion. We utilize discrete and robust optimization to demonstrate that using modern optimization we can find solutions to large scale instances of these problems that (a) can be found in seconds/minutes. (b) can be certified...
Creator:
Bertsimas, Dimitris (Massachusetts Institute of Technology)
Created:
2019-09-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We develop a new estimation and valid inference method for low-dimensional regression coefficients in high-dimensional generalized linear models. The proposed estimator is computed by solving a score function. We recursively conduct model selection to reduce the dimensionality from high to a moderate scale and construct the score equation based ...
Creator:
Li, Runze (The Pennsylvania State University)
Created:
2019-09-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Nathan Levitt is a white trans man and family nurse practitioner based in New York City. At the time of this interview, he worked in the office of Dr. Rachel Bluebond-Langner, who specializes in gender-affirming surgeries. In the interview, Levitt discusses the evolution of practices in trans health care. Specifically he recounts his experiences...
Dr. Erica Anderson is a white trans woman and clinical psychologist based in the San Francisco Bay Area. At the time of this interview, she was President of the U.S. Professional Association for Transgender Health (USPATH,) served on the board of the World Professional Association for Transgender Health (WPATH,) and worked at the Child and Adole...
Linda Wesp is a white cisgender woman, a family nurse practitioner and Certified HIV Specialist since 2006, providing gender affirming primary care and hormones in Chicago, New York, and based, at the time of this interview, in Milwaukee. In this oral history interview, she discusses her experiences working in trans health care as a nurse, profe...
Maddie Deutsch, MD, MPH is a queer, lesbian, transgender white woman; at the time of this interview, she was the Medical Director for Transgender Care at the University of California - San Francisco (UCSF) and the President-Elect of USPATH, the US Professional Association for Transgender Health. Prior to her work at UCSF, Deutsch started a trans...
Sand Chang is a nonbinary Chinese American psychologist/psychotherapist and educator from Oakland, California. Chang co-authored A Clinician's Guide to Gender Affirming Care (New Harbinger, 2018) and the APA Guidelines for Psychological Practice with Transgender and Gender Nonconforming Clients (2015). Chang is a board member and section editor ...
Ryan Li Dahlstrom is an Asian American transmasculine community activist. At the time of this interview, he was the Program Officer for the Fund for Trans Generations at Borealis Philanthropy in Minneapolis, Minnesota, served on the board of the Astraea Lesbian Foundation for Justice, and was involved in trans movements and community organizing ...
Topics include: Participation in Ukrainian-American community in Twin Cities in the 1970’s and 80’s; memories and reflection on the legacy of being a child of Holodomor survivors; Holodomor and collectivization; Displaced Persons camps; Ukrainian Saturday School; Harvest of Despair; experiencing bigotry in the U.S.
Creator:
Bahmet, Helen
Contributor:
Gutmanis, Zina Poletz; Kurschner, Tracy; Ukrainian American Community Center
Created:
2019-08-24
Contributed By:
University of Minnesota Libraries, Immigration History Research Center Archives.
Topics include: Flowering of Ukrainian culture in Kyiv in the 1920s; founders of the Ukrainian Autocephalous Orthodox Church; surviving the Holodomor; Torgsin; NKVD and being labelled an “enemy of the people”; life in an Ost Arbeiter camp; the post-war Ukrainian community in Asuncion, Paraguay; the Ukrainian-American community in the Twin Cities...
Creator:
Tsarehradsky, Kira Stetsenko
Contributor:
Gutmanis, Zina Poletz; Kurschner, Tracy; Poletz, Alexander; Shevchenko, Yulia; Ukrainian-American Community Center
Created:
2019-08-08
Contributed By:
University of Minnesota Libraries, Immigration History Research Center Archives.
Topics include: Participation in Ukrainian-American community in Twin Cities; comparison of Ukrainian-American communities in Twin Cities and Omaha; memories and reflection on mother’s experience growing up in Poltava, Ukraine, including the stories she told them about her experiences; growing up a first-generation child of Displaced Persons.
Creator:
Iwaskewycz, Lydia
Contributor:
Gutmanis, Zina Poletz; Iwaskewycz, Stefan; Kurschner, Tracy; Ukrainian American Community Center
Created:
2019-08-02
Contributed By:
University of Minnesota Libraries, Immigration History Research Center Archives.
Topics include: Growing up in the Ukrainian-American community in the Twin Cities in the 1970s and 80s; Holodomor survivor grandparent; memories and reflection on Holodomor impact on children and grandchildren; post-famine relationship with food; chairing 85th anniversary commemoration; dedication of Holodomor memorial in 2015.
Creator:
Gutmanis, Zina Poletz
Contributor:
Gutmanis, Zina Poletz; Kurschner, Tracy; Ukrainian American Community Center
Created:
2019-08-02
Contributed By:
University of Minnesota Libraries, Immigration History Research Center Archives.
Topics include: Dekulakization; “enemies of the people,” childhood experiences in the Holodomor; Displaced Persons camp; Ukrainian American community in Minnesota; Harvard Summer School Ukrainian Studies Program; Ukrainian American youth groups; legacy of Holodomor among survivors, descendants and immigrant community; World War II.
Creator:
Chorolec, Olga; Chorolec, Helen
Contributor:
Bahmet, Wanda; Gutmanis, Zina Poletz; Kurschner, Tracy; Pidhayny, Taras; Poletz, Alexander; Ukrainian American Community Center
Created:
2019-07-30
Contributed By:
University of Minnesota Libraries, Immigration History Research Center Archives.
We present an overview of how SageMath and Macaulay2 have provided crucial computational help and insight to problems in string theory over the last decade. As concrete examples, we will use the Calabi-Yau landscape. In parallel, we propose a paradigm to machine-learn the ever-expanding databases which have emerged in mathematical physics, algeb...
Creator:
He, Yang-Hui (University of London)
Created:
2019-07-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Consider the Hilbert scheme parametrizing all closed subschemes in projective space with a fixed Hilbert polynomial. We present numerical conditions on the polynomial that completely characterize when the associated Hilbert scheme is smooth. In the smooth situation, our explicit description of the subschemes being parametrized also provides new ...
Creator:
Smith, Gregory (Queen's University)
Created:
2019-07-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this talk, we will give an introduction to using Sage in combinatorial research through the lens of alternating sign matrices and plane partitions. We will start by writing simple ‘for’ loops to iterate over these combinatorial objects; we will then create generating functions and visualize large random instances of these objects. We will als...
Creator:
Striker, Jessica (North Dakota State University)
Created:
2019-07-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
After presenting some (personal) history of Macaulay/Macaulay2, we will use Macaulay2 to investigate a couple of problems, the first one being: what kinds of invariants (e.g. regularity, graded Betti numbers) are possible for ideals generated by small numbers of quadrics. This is a good problem to see some of what can be done with Macaulay2 and ...
Creator:
Stillman, Michael (Cornell University)
Created:
2019-07-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Showcasing the upcoming musical "Great Big Rainbow World," playwright and producer Sarah Julius and cast member Maggie Sulentic illustrate the inspiration and creative process behind the revue about rugby and being LGBTQ+. They also perform the musical's title track in studio!
Contributor:
Julius, Sara (Guest); Sulentic, Maggie (Guest)
Created:
2019-07-15
Contributed By:
University of Minnesota Libraries, Jean-Nickolaus Tretter Collection in Gay, Lesbian, Bisexual and Transgender Studies.
JeongHeon Cho experienced the frustrations of setting up a new life in Japan after moving there from South Korea to study. Transactions which were simple back home and came naturally to Japanese were confusing to an outsider unfamiliar with the system and the language.
Creator:
Cho, JeongHeon
Created:
2019-07-12
Contributed By:
University of Minnesota, Immigration History Research Center
Yuri Noda was born in Japan and raised by a single mother, who encouraged her to explore the world. As part of this journey, she became a youth representative to Canada and studied there, where she worked to balance pressure and enjoyment.
Creator:
Noda, Yuri
Created:
2019-07-12
Contributed By:
University of Minnesota, Immigration History Research Center
Twin Cities Pride Board Chair Darcie Baumann shared some of her own experiences as an LGBTQ+ leader in the Twin Cities as well as some exciting updates for Pride and Twin Cities Pride Magazine.
Contributor:
Baumann, Darcie (Guest)
Created:
2019-07-08
Contributed By:
University of Minnesota Libraries, Jean-Nickolaus Tretter Collection in Gay, Lesbian, Bisexual and Transgender Studies.
Mykel Murphy was born in Texas to young, impoverished, and quickly divorced parents who were unable to take care of him. He was taken in by surrogate grandparents, college professors who explored world perspectives and eventually moved to Thailand to start an NGO. Mykel has worked hard to join and help them in Thailand and has devoted his life t...
Creator:
Murphy, Mykel
Created:
2019-07-04
Contributed By:
University of Minnesota, Immigration History Research Center
