We recommend arranging air travel through the Baltimore/Washington International Thurgood Marshall Airport (BWI), which is a 35 minute drive from the ARL. There are direct flights from London (British Airways), San Francisco (United Airlines) or Los Angeles (United Airlines).

• Sheraton College Park North Hotel. The closest to ARL (7 min drive). The area is not a city center, but might be convenient due to traffic conditions in the morning.
• Silver Spring
• Residence Inn Silver Spring
• Marriott Courtyard Silver Spring
• Marriott Greenbelt
• Marriott at University of Maryland Conference Center
• Hilton Garden Inn Silver Spring
• Holiday Inn
• Sheraton in Silver Spring Downtown
• Double Tree

On the previous day to the meeting, May 13 (Sunday), there will be a discussion about measures of semantic information and related topics, at Johns Hopkins, Homewood Campus , Clark Hall. This will start at 9:30AM. More details will be provided later through email.

There is a parking garage right next to the building.

Below is a temptative schedulle, things might change during the meeting.

The goal is to have at most 30 minutes talks, and the rest of the available time will be used for discussions.

• 07:45 Arrive at ARL facilities
• 08:00 Breakfast
• 09:00 Mary Harper (ARL): ARL and Army Priorities and Perspectives
• 09:30 René Vidal (JHU): MURI Project Overview "Semantic Information Pursuit for Multimodal Data Analysis"
• 10:00 Discussion/Break
• 10:30 Donald Geman (JHU): Semantic Information Pursuit
• 11:00 Simone Severini (UCL): Towards a Theory of Semantic Information: Lessons from Physics
• 11:30 Discussion/Break
• 12:00 Lunch
• 01:00 Jason Lee (USC): Landscape Design in Non-convex Optimization
• 01:30 René Vidal (JHU): Dropout as a Low-Rank Regularizer for Matrix Factorization
• 02:00 Mert Pilanci (UMICH): Randomized Methods for Non-Convex Optimization
• 02:30 Discussion/Break
• 03:00 Rama Chellappa and Wojciech Czaja (UMD): Unsupervised domain adaptation, generative adversarial networks and scattering networks, and Scattering Networks and Invariances
• 03:30 Josef Kittler and Miroslaw Bober (Surrey): Information Fusion for Multimodal Data Classification
• 04:00 Pratik Chaudhari (UCLA): Unraveling the Mysteries of Stochastic Gradient Descent on Deep Neural Networks
• 04:30 Discussion/Break