• 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 
3:30 - 4:15Learning 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 - 12:15Accelerating atomic-scale calculations with machine learning - Andrew Peterson, School of Engineering, 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 - 9:45The K-FAC method for neural network optimization - 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 22, 2019 - ICERM is delighted to share the news that Melody Chan, Brown University math professor, has been awarded the prestigious #NSF Career award, from the Division Of Mathematical Sciences. Melody was a research fellow during ICERM's fall 2018 Nonlinear Algebra program and is organizing two programs in the coming years.

"The research supported by this award will center on using modern degeneration techniques, especially those from the field of tropical geometry, to study classical spaces from algebraic geometry....This award will also support a Women in Algebraic Geometry workshop and a seminar series on diversity and inclusion in mathematics."

https://nsf.gov/awardsearch/showAward?AWD_ID=1844768&HistoricalAwards=false

February 22, 2019 - Happy 50th anniversary, NAM! #BLACKandSTEM twitter.com/BlackPhysicist…

February 21, 2019 - We had a great turnout last night for our public lecture, "Discovering Black Holes and Gravitational Waves: Algorithms and Simulation", with Scott Field. Scott is an assistant professor of Mathematics at UMass Dartmouth and a co-director of the data science program. @ Institute for Computational & Experimental Research in Mathematics (ICERM)

February 21, 2019 - After his talk "The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden laye… twitter.com/i/web/status/1…

February 20, 2019 - Part two of yesterday's lively poster session. @ Institute for Computational & Experimental Research in Mathematics (ICERM)

February 20, 2019 - We got some great images from yesterday's poster session for our first workshop of the spring semester, "Theory and Practice in Machine Learning and Computer Vision". @ Institute for Computational & Experimental Research in Mathematics (ICERM)

February 20, 2019 - Congratulations to Kathryn Mann, ⁦@BrownUniversity⁩ mathematics professor. She is the recipient of a 2019 ⁦… twitter.com/i/web/status/1…

February 20, 2019 - Save the date for #MAAthFest 2019! twitter.com/maanow/status/…

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

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.