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FFT 2019 Schedule

Below is the list of speakers and the schedule of time slots. Click on any talk title to see an abstract for the talk.

The main events include a Distinguished Lecturer on Thursday afternoon; our Keynote speaker Thursday at 6:45 pm, followed by dinner reception and refreshments in the rotunda of the Mathematics building; and the Norbert Wiener Colloquium on Friday at 3:30 pm, followed by High Tea for all participants of the FFT. All talks will take place in 3206 Kirwan Hall.

NWC Distinguished Lecturer (Thursday Afternoon): Tomaso Poggio (Massachusetts Institute Of Technology)
A theoretical framework for deep learning

Keynote Address (Thursday Evening): Judy Green (Marymount University)
Crockett Johnson: From Cartoons in Black and White to Theorems in Color

Norbert Wiener Colloquium (Friday Afternoon): Piotr Indyk
Sparse Fourier Transforms

     Thursday,
February 21
   Friday,
February 22
         
    Morning speakers   Morning speakers
9:30-10:00   Registration
9:00-9:30 Francisco Pereira (National Institute of Mental Health)
Revealing interpretable object representations from human behaviour
10:00-10:30  

Dustin Mixon (Ohio State University)
SqueezeFit: Label-aware dimensionality reduction by semidefinite programming

9:45-10:15 Tom Goldstein (University of Maryland)
What it takes to fool a neural net: a mathematical perspective on adversarial examples
10:45-11:15   Jelani Nelson (Harvard University)
Sparse recovery, sampling, and dynamic data structures for graph problems
10:30-11:00 Paul Gader (University of Florida)
Inverse Problems for Nonlinear Spectral Unmixing
11:30-12:00   Jerry Kim (MITRE Corporation)
Applications for the Time Reversal Operator
11:15-11:45 Boris Mailhé (Siemens Healthineers)
A practical view of MR compressed sensing

 

       
  Break for lunch Break for lunch
         
    Afternoon speakers   Afternoon speakers
1:30-2:00   Songkiat Sumetkijakan (Chulalongkorn University)
Non-atomic doubly stochastic measures
1:30-2:00 Jason Yosinski (Uber AI Labs)
AI Neuroscience: can we understand the neural networks we train?
2:15-2:45   Namrata Vaswani (Iowa State University)
Phaseless PCA and Subspace Tracking
2:15-2:45 Somantika Datta (University of Idaho)
Equiangular frames, k-angle frames, and their duals

3:00-3:30

  Hrushikesh Mhaskar (Claremont Graduate University)
Machine learning meets super-resolution
3:00-3:30 Irina Mitrea (Temple University)
Fatou theorems and Poisson integral representation formulas for elliptic systems in the upper-half space
3:45-4:45   Norbert Wiener Center Distinguished Lecturer
Tomaso Poggio (Massachusetts Institute Of Technology)
A theoretical framework for deep learning
3:45-4:45

Norbert Wiener Colloquium
Piotr Indyk (Massachusetts Institute Of Technology)
Sparse Fourier Transforms
(The Norbert Wiener Colloquium will be followed by High Tea)

4:45-6:00   Student and Postdoc poster session
(Prizes to be awarded!)
   
         
    Thursday Evening Program    
6:15   Introductory remarks by Scott Wolpert and Norbert Wiener Center Director, John J. Benedetto    
6:40   Keynote Speaker
Judy Green (Marymount University)
Crockett Johnson: From Cartoons in Black and White to Theorems in Color

   
7:30   Social, Light Dinner*, Refreshments    
  *Please note that there will be a charge for dinner this year. See registration for details.