• Welcome to ICERM

    The Institute for Computational and Experimental Research in Mathematics

  • Welcome to ICERM

    The Institute for Computational and Experimental Research in Mathematics

  • Welcome to ICERM

    The Institute for Computational and Experimental Research in Mathematics

  • Welcome to ICERM

    The Institute for Computational and Experimental Research in Mathematics

This Week at ICERM

Computer Vision
Theory and Practice in Machine Learning and Computer Vision
Monday, February 18, 2019
TimeEventLocationMaterials
8:30 - 8:55Registration - ICERM 121 South Main Street, Providence RI 0290311th Floor Collaborative Space 
8:55 - 9:00Welcome - ICERM Director11th Floor Lecture Hall 
9:00 - 9:45Learning spoken concepts from unlabeled audio-visual data - Karen Livescu, TTI-Chicago11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Old-School Computer Vision Teaching Modern Deep Networks - Tal Hassner, The Open University of Israel11th Floor Lecture Hall
11:30 - 12:15Strong-Weak Adversarial Domain Adaptation - Kate Saenko, Boston University11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Stochastic Video Generation with a Learned Prior - Rob Fergus, NYU & Facebook11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 
4:00 - 4:45Learning to Optimize Multigrid PDE Solvers - Ronen Basri, Weizmann Institute of Science 11th Floor Lecture Hall 
5:00 - 6:30Welcome Reception11th Floor Collaborative Space 
Tuesday, February 19, 2019
TimeEventLocationMaterials
9:00 - 9:45Analyzing Optimization in Deep Learning via Trajectories - Nadav Cohen, Institute for Advanced Study11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Mathematics of Deep Learning - Rene Vidal, Johns Hopkins University11th Floor Lecture Hall
11:30 - 12:15Towards Joint Understanding of Images and Language - Svetlana Lazebnik, University of Illinois at Urbana-Champaign11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Task2Vec: Task Embedding for Model Recommendation - Subhransu Maji, Umass Amherst11th Floor Lecture Hall 
3:30 - 5:00Poster Session 11th Floor Collaborative Space 
Wednesday, February 20, 2019
TimeEventLocationMaterials
9:00 - 9:45Learning with Little Data - Richard Zemel, Vector Institute, Toronto11th Floor Lecture Hall 
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Mad Max - Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University11th Floor Lecture Hall
11:30 - 12:15TBA - Andy Peterson, Brown University11th Floor Lecture Hall 
12:30 - 12:40Group Photo11th Floor Lecture Hall 
12:40 - 2:30Break for Lunch / Free Time  
2:30 - 3:15A theoretical look at adversarial examples and dataset poisoning - Tom Goldstein, University of Maryland11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 
4:00 - 4:45Panel Discussion11th Floor Lecture Hall 
Thursday, February 21, 2019
TimeEventLocationMaterials
9:00 - 9:45Improvements and extensions to the K-FAC method for training neural nets - James Martens, DeepMind11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Gradient descent aligns the layers of deep linear networks - Matus Telgarsky, University of Illinois Urbana-Champaign11th Floor Lecture Hall
11:30 - 12:15The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden layers - Naftali Tishby, Hebrew University of Jerusalem11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15On The Power of Curriculum Learning in Training Deep Networks - Daphna Weinshall, Hebrew University of Jerusalem11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 
4:00 - 4:45Reconstructing Animals - David Jacobs, University of Maryland11th Floor Lecture Hall
Friday, February 22, 2019
TimeEventLocationMaterials
9:00 - 9:45Over-parameterized nonlinear learning - Gradient descent follows the shortest path - Mahdi Soltanolkotabi, University of Southern California11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Learning Spatial Common Sense with Geometry-Aware Deep Networks - Katerina Fragkiadaki, Carnegie Mellon University11th Floor Lecture Hall
11:30 - 12:15Tensorial Neural Networks - Generalization of Neural Networks and Application to Model Compression - Furong Huang, University of Maryland11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 

Upcoming Programs

Modularity and 3-manifolds
Computational Imaging

Connect with ICERM

February 19, 2019 - There's still time to enter the @NSF "We Are Mathematics" video competition! wearemathematics2019.skild.com/skild2/wearema…

February 19, 2019 - There's still time to enter the National Science Foundation (NSF) "We Are Mathematics" video competition! The deadline has been extended to February 28, 2019.

https://wearemathematics2019.skild.com/skild2/wearemathematics2019/loginPage.action #mathematics #nsf

February 19, 2019 - Excellent @nytimes article featuring Edray Goins. #blackhistorymonth #blackmathematicians #mathematics twitter.com/amermathsoc/st…

February 18, 2019 - Day one nearly complete of our "Theory and Practice in Machine Learning and Computer Vision" workshop!

We had a last minute opt out for one of the talks today ("Old-School Computer Vision Teaching Modern Deep Networks"), so we apologize if you were counting on live streaming it or viewing at a later date. Occasionally this happens for a variety of reasons, but the rest of the talks will be available via live stream and later in the archive.
https://icerm.brown.edu/programs/sp-s19/w1/

February 18, 2019 - The National Academies’ Board on Mathematical Sciences and Analytics (BMSA) invites early career researchers and st… twitter.com/i/web/status/1…

February 18, 2019 - Congrats to ICERM friends Ingrid Daubechies, @DukeU and Claire Voisin, @cdf1530, for being named winners of the 201… twitter.com/i/web/status/1…

February 15, 2019 - Photo of this week's Algebraic Vision Research Cluster group. Thanks to all for coming!

February 15, 2019 - Are you an early career researcher or student who wants to quickly and simply describe the mathematical research you're doing and why? The National Academies’ Board on Mathematical Sciences and Analytics (BMSA) invites you to submit short video “elevator speeches” describing how your work in mathematics is important and relevant to our everyday lives. This can be an unedited selfie video, an animation, or any other format. Tell the world why your work is important in 1-2 minutes. The deadline for video submissions is February 27, 2019, at 11:59pm EST. http://sites.nationalacademies.org/DEPS/BMSA/DEPS_190706

February 15, 2019 - We're proud to see Dr. Melvin Currie, who gave an ICERM public lecture in fall 2018, featured in the @amermathsoc M… twitter.com/i/web/status/1…

February 14, 2019 - The Perfect Valentine? A Math Formula: Nothing says ‘I love you’ like a customizable algebraic equation. #valentinesday
https://www.nytimes.com/2019/02/14/science/math-algorithm-valentine.html?action=click&module=Discovery&pgtype=Homepage

ICERM Newsletter Fall 2018
Fall 2018 - In This Issue:
GirlsGetMath Engages Local High School Students

September 7, 2018 - Brown University's student-run newspaper, the Brown Daily Herald, featured an article about our fifth annual GirlsGetMath program.