CGL Meeting Agenda


Date: Jan 7, 2015
Location: DC 1331
Time: 11:30
Chair: Christopher Batty
Christopher Batty

1. Acceptance of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour last week:
Volunteers?
Coffee hour this week:
Volunteers?
Coffee hour next week:
Christopher!

3. Forthcoming

Date: Jan 14, 2015 Jan 21, 2015 Jan 28, 2015 Feb 4, 2016
Location: DC 1331 11:30 DC 1331 11:30 DC 1331 11:30 DC 1331 11:30
Chair: Bill Cowan
Bill Cowan
Ryan Goldade
Ryan Goldade
Craig Kaplan
Craig Kaplan
Marta Kryven
Marta Kryven
Technical Presentation: Christopher Batty
Christopher Batty
Bill Cowan
Bill Cowan
Ryan Goldade
Ryan Goldade
Craig Kaplan
Craig Kaplan

4. Technical Presentation

Yipeng Wang (maybe)

Yipeng Wang (maybe)
Title : Data-driven fluid simulations using regression forests
Abstract:
Traditional fluid simulations require large computational resources even for an average sized scene with the main bottleneck being a very small time step size, required to guarantee the stability of the solution. Despite a large progress in parallel computing and efficient algorithms for pressure computation in the recent years, real time fluid simulations have been possible only under very restricted conditions. In this paper the authors propose a novel machine learning based approach, that formulates physics-based fluid simulation as a regression problem, estimating the acceleration of every particle for each frame. They designed a feature vector, directly modelling individual forces and constraints from the Navier-Stokes equations, giving the method strong generalization properties to reliably predict positions and velocities of particles in a large time step setting on yet unseen test videos.

5. Discussion Items

6. Action Items

7. Lab Events

8. Conferences and Special Journal Issues

Recent Additions

Upcoming Deadlines

9. Directors' Meeting

10. Seminars and Events

Friday, 8 January 2016, 2:00AM - Computer Science (Networks and Distributed Systems), DC 2310
Joseph Mate: -- Fault-Tolerant Database Server Consolidation
 
Monday, 11 January 2016, 10:00AM - Applied Mathematics , M3-2134
Manda Winlaw: -- Algorithms and Models for Tensors and Networks with Applications in Data Science
 
Monday, 11 January 2016, 10:30AM - Computer Science , DC 1304
Dr. Andrew Wilson: -- Scalable Gaussian Processes for Scientific Discovery
 
Monday, 11 January 2016, 2:00PM - Computer Science (Artificial Intelligence Lab), DC 2306C
Shenyang Pan: -- Dynamic Crowdsourcing Consensus Tasks with Workers That Can Learn
 
Monday, 11 January 2016, 2:30PM - Computational Mathematics , MC5479
Dr. Chen Greif: -- The (Numerical) Linear Algebra Behind Solving Problems with Constraints
 
Thursday, 14 January 2016, 10:30AM - Computer Science , DC 1304
Dr. Alexander Schwing: -- Parallel Inference and Learning with Deep Structured Distributions
 

Also see other Math and CS postings.

11. Lab Cleanup

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