CNAM ©Inria Photo G. Cohen

Berkeley – Inria – Stanford Workshop 2014

• Date: June 17-19, 2014
• Location: CNAM, Paris

The fourth workshop Berkeley-Inria-Stanford  (BIS’2014) is part of the joint research program Inria@SiliconValley. It is co-organized by Inria, Stanford University, and UC Berkeley in partnership with CITRIS and the French Ministry of Foreign Affairs.  The objectives of the workshop are to present the current status of ongoing scientific collaborations and to work on proposals for future ambitious joint projects. Further detail about the workshop may be obtained from its organizing committee.

Program :

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• June 17th (session open to public): Opening keynotes highlighting results of ongoing collaborations

• 13:30: Registration
• 14:00-14:20: Formal Opening: Michel Cosnard, CEO, Inria and Hélène Kirchner, International relations Director, Inria

• 14:20- 15:05: Analysis of Data-Centric Workflows by Victor Vianu(UC San Diego, Inria International Chair):

  • 

    Victor Vianu

    Workflows centered around data have become pervasive in a wide variety of applications, including health-care management, e-commerce, business processes, scientific workflows, and e-government. Such workflows are often very complex and involve numerous interacting actors. They are prone to costly bugs, whence the need for static analysis in order to verify critical properties. Analysis tools are also needed  to facilitate the integration, interoperation and evolution of workflows, and to provide runtime assistance to participating actors.  This talk will present an overview of recent research carried out at UC San Diego and INRIA on the analysis of data-centric workflows, an area of growing interest in both academia and industry. View presentation

  • 15:05 -15:50: Interactive Machine Learning by John Canny (U.C. Berkeley, Inria International Chair):
    

    John Canny

    Machine learning is now an essential tool in business and the sciences.  And many such applications involve “Big Data” of scales that stretch current technologies. Much of the value from Big Data is untapped, and will require interactive tools that support rapid exploration and hypothesis-testing. The current wave of analytic tools for Big Data rely primarily on cluster computing for acceleration. But they sacrifice responsiveness and often use only a fraction of the hardware’s theoretical performance. The BID Data project has developed new, hardware-accelerated learning tools (BIDMach) with much higher efficiency and real-time performance. Single machine speeds for BIDMach on many common learning tasks exceed that of any reported cluster system.  Furthermore, we show that these gains can be scaled further on clusters of machines using new, faster communication primitives.  Interactive analysis of massive datasets is now possible, and has many advantages: exploration of models can be guided at high-level by the analyst; richer more realistic loss functions can be used; and models parameters can be tuned in one pass against a variety of key performance indicators. The design of BIDMach relies on deep co-design of algorithms and hardware. One example is “cooled Gibbs sampling”: a new approach to parameter inference, which is simple, fast and well-matched to modern SIMD (e.g. GPU) hardware. Another is “butterfly mixing”, a fast and highly fault-tolerant approach to synchronizing learning algorithms across a cluster. View Presentation

  • 15:50-16:20: Coffee Braek
  • 16:20-17:05: ORESTE- Optimization based control of networks of discretized PDEs: Application to traffic engineering by Paola Goatin (Inria) & Nikolaos Bekiaris-Liberis (U.C. Berkeley):             
    

    Paola Goatin

    

    Nikolaos Bekiaris

    The talk will review the results obtained by the ORESTE Associated Team during its three years life-span. We deal with macroscopic models of traffic flow on roadnetworks described by conservation laws coupled with suitableboundary conditions at junctions. In particular, we focus onthe development of anefficient coordinated ramp-metering strategy resulting in better traffic performances than the state-of-the-art practitioners tools. We also extend the methodologyto the case of multi-commodity flows intended to reduce traffic congestion by re-routing compliant users.

  • 17:05-17:50: CRISP – Leveraging Artistic and Perceptual Insights forImage Synthesis by George Drettakis & Adrien Bousseau (Inria) :                                                                                                            
    

    Adrien Bousseau

    

    George Drettakis Photo ©2013 Anna Drettakis

    The goal of the CRISP associate team between REVES and UC Berkeley is to investigate novel ways tocreate, render and interact with images based on the studyof human perception and artistic practice. To achieve this goalwe focus on understanding how people perceive and draw complex material, lighting and shape, on developing new rendering algorithms based on this understanding, and on building interactive tools that help users create synthetic images. We will illustrate our methodology with four projects developed over the 4 years of CRISP. The first two projects study the perception of materials in stylized rendering and the perception of distortions in image-based rendering. The two other projects facilitate the depiction of materials and transparency effects in vector graphics. View presentation

  • 17:50 : Adjourn
  • 18:00: Live streaming (to be confirmed): “Computer Science: All questions answered” by Donald Knuth, Stanford University (http://colloquium.lip6/knuth-2014-06-07/)

• June 18th: 9.00am – 5.30pm (For Inria and Inria@SiliconValley partners) : The day is organized around parallel working sessions that will be the opportunity for associated teams to pitch about their key contributions and further exchange about research challenges ahead on the given research themes.

DOWNLOAD PARALLEL WORKING SESSIONS DETAILED SCHEDULE The 3 topics under scrutiny are:

i. New computation and data analysis 

Chairs: Jean Roman (Inria) and Henry van den Bendem (Stanford University)

Associate Teams:  AQUARIUS, CARDIO, COALA,  COMFORT, FASTLA,  ITSNAP, ORESTE

ii. Content and supporting learning technologies

Chairs: Cordelia Schmid (Inria), John Canny (U.C. Berkeley) –

Associate Teams: CRISP, HYPERION,  OAKSAD, SNOWFLAKE, SPLENDID,VIP, WILLOW

iii. Computation and communication for the future internet

Chairs: Christine Morin (Inria), Deb Agarwal (LBNL)

Associate Teams: BIGDATANET, CLOUDSHARE, CLOUDY, COMMUNITY, DALHIS, RIPPES, SnFactory, MiMove

• June 19th (session open to public) : Toward smarter cities.

The goal of this one day event is to bring together smart-city actors from industry, academia and cities to exchange about respective vision for smarter cities and related challenges, in particular introducing the research agenda of the Inria Lab CityLab@Inria.

Further, acknowledging the strong link of CityLab with the Inria@SiliconValley program, the event will be the occasion to bring together actors from both France and California, discussing ongoing and potential joint research opportunities in the area.

The event is organized around 4 sessions, each dedicated to a major smart city challenge, and structured into: lightning talks by major actors in the area followed by panel discussion with the audience.

8:30: Registration

8:30: Welcome

09:00-10:30 The city vision about smarter cities (Chair: Hervé Rivano, Inria)

•  Advancity : The Smart Metropolis Hub, Florence Castel, Executive Director Advancity. View presentation
• Sustainable San Francisco – Using Technology to Make San Francisco More Vibrant & Livable,Mark Palmer, LEED Fellow, Senior Green Building Coordinator,  City of San Francisco , Department of Environment.
• The Paris vision of Smart Cities, George-Etienne Faure, Smart City Officer at Marie de Paris
• Grand Lyon Smart City Strategy, Marie-Anne Serve, Smart City Project Manager (Cancelled)
• Smart Cities: Between Neo-Cybernetic Temptation and Democratic Perspectives, Prof. Antoine Picon, Harvard and Ecole Nationale des Ponts et Chaussées. (Cancelled)

10:30-11:00: Coffee break

11:00-12:30 The challenge of urban-scale sensing (Chair: Nathalie Mitton, Inria)

• Vehicular Networks and City-Scale Sensing,Prof. Bhaskar Krishnamachari, Viterbi School of Engineering, University of Southern California. View presentation
• Leveraging things and people as sensors for smarter cities, Dr. Animesh Pathak, Inria. View presentation

12:30-14:00: Lunch break (room “Textiles”)

14:00-15:30: The challenge of urban-scale data engineering (Chair: Ioana Manolescu, Inria)

• Oracle Smart City Platform: Closing the loop in urban data. Iemke Idsingh, Oracle Public Sector Solutions Director. VIew presentation
• City Modeling: A Decision Support in the Process of Planning,Fabrice Casciani, Project Manager Sustainable Cities, EDF R&D. View presentation
• Data Assimilation for Urban Air Quality Simulation.Dr. Vivien Mallet, Inria Paris-Rocquencourt. View presentation
• Urban-scale Quantitative Visual Analysis. Dr. Josef Sivic, Inria. View presentation

15:30-16:00: Coffee break

16:00-17:30: The challenge of democracy 3.0 (Chair: Christine Morin, Inria)

•  Build and map our cities together, Gael Musquet, OpenData evangelist at La Fonderie – Paris Region public digital agency.
• A Middleware Solution for Democratizing Urban Data.Dr.  Sara Hachem, Inria. View presentation
• AppCivist : A Platform for Large-scale Public Deliberation and Civic Action.Prof. James Holston, University of California Berkeley.

17:30-20:30: Cocktail (room “Textile”) More information here.