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8 - 10 July 2009
By invitation only
Venue: B10 Seminar Room, Alexandra House, 17 Queen Square, London, WC1N 3AR
Please see map at: http://www.ucl.ac.uk/images/map_arounducl_l.jpg
Supported by the Gatsby Charitable Foundation & CIFAR
PROGRAMME
Wednesday 8 July |
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10.00 – 10.30 |
Tea, coffee and Welcome (Peter Dayan, Geoff Hinton) |
10.30 – 11.15 |
Geoff Hinton - A quick way to learn a mixture of exponentially many linear models |
11.15 – 12.00 |
Yoshua Bengio - On the Difficulty of Training Deep Architectures |
12.00 – 13.30 |
Lunch (4 th Floor Seminar Room) |
13.30 – 14.15 |
Aapo Hyvarinen - Unsupervised learning by discriminating data from artificial noise |
14.15 – 15.00 |
John Winn - Deep Segmentation Networks |
15.00 – 15.30 |
Tea and Coffee |
15.30 – 16.15 |
Chris Williams - Learning generative texture models with extended Fields-of-Experts |
16.15 – 17.00 |
Karl Friston - Deep models in generalized coordinates |
17.00 – 18.00 |
Open discussion and informal talks |
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Thursday 9 July |
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10.00 – 10.45 |
Rob Fergus - Efficient learning of sparse image decompositions |
10.45 – 11.30 |
Yann LeCun - Learning invariant feature hierarchies |
11.30 – 12.00 |
Tea and Coffee |
12.00 – 12.45 |
Zoubin Ghahramani - Learning the structure of deep sparse belief networks |
12.45 – 14.00 |
Lunch (4 th Floor Seminar Room) |
14.00 – 14.45 |
Martin Szummer - Learning Restricted Boltzmann Machines using Power EP |
14.45 – 15.30 |
Yee Whye Teh - Nonparametric Surrogate Prior |
15.30 – 16.00 |
Tea and Coffee |
16.00 – 16.45 |
Barak Pearlmutter - Very Glorified Backpropagation |
16.45 – 17.30 |
Open discussion and informal talks |
19.00 – finish |
Dinner - Trattoria Verdi Restaurant, 110 Southampton Row, London, WC1 4BL |
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Friday 10 July |
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10.00 – 10.45 |
Alan Yuille - Recursive Compositional Models |
10.45 – 11.30 |
Shimon Ullman - Hierarchical representations for recognizing categories, objects, and parts |
11.30 – 12.00 |
Tea and Coffee |
12.00 – 13.00 |
Open discussion and informal talks |
13.00 – 14.00 |
Lunch (4 th Floor Seminar Room) |
14.00 |
FINISH |
