Swiss Machine Learning Day

Event details
Date | 10.11.2015 |
Hour | 09:00 |
Speaker | A panel of experts from a range of Swiss Universities |
Location | |
Category | Conferences - Seminars |
9:00 – 9:30
Fast and Accurate Inference of Plackett–Luce Models (Lucas Maystre, EPFL)
9:30 – 10:00
Robust Principal Component Analysis on Graphs (Nauman Shahid, EPFL)
10:00 – 10:30
Time-Varying Gaussian Process Bandit Optimization (Ilija Bogunovic, EPFL)
10:30 – 10:45
Coffee break
10:45 – 11:15
An invariant regulariser for learning with dynamical systems (Pablo Ramon Strasser, UNIGE)
11:15 – 11:45
Learning POMDP policies from human demonstrations in haptic search tasks (Guillaume de Chambrier, EPFL)
11:45 – 12:15
Active learning for reconstruction of curvilinear structures (Agata Justyna Mosinska, EPFL)
12:15 – 14:00
Lunch break
14:00 – 14:30
Weighted Multiple Instance Learning for Text Regression Tasks (Nikos Pappas, IDIAP)
14:30 – 15:00
An HMM-based formulation for automatic derivation of phone-like subword units and pronunciation lexicon development (Marzieh Razavi, IDIAP)
15:00 – 15:30
Data-driven surface normal learning for accurate multi-view stereo reconstruction (Silvano Galliani, ETHZ)
15:30 – 15:45
Coffee break
15:45 – 16:15
Learning Robot Manipulation Tasks with Tied Gaussian Mixture Models (Ajay Tanwani, IDIAP)
16:15 – 16:45
Fast computation of adversarial examples in convolution networks (Seyed-Mohsen Moosavi-Dezfooli, EPFL)
16:45 – 17:15
Scalable Metric Learning via Weighted Approximate Rank Component Analysis (Cijo Jose, IDIAP)
Attendance is free but please register.
Fast and Accurate Inference of Plackett–Luce Models (Lucas Maystre, EPFL)
9:30 – 10:00
Robust Principal Component Analysis on Graphs (Nauman Shahid, EPFL)
10:00 – 10:30
Time-Varying Gaussian Process Bandit Optimization (Ilija Bogunovic, EPFL)
10:30 – 10:45
Coffee break
10:45 – 11:15
An invariant regulariser for learning with dynamical systems (Pablo Ramon Strasser, UNIGE)
11:15 – 11:45
Learning POMDP policies from human demonstrations in haptic search tasks (Guillaume de Chambrier, EPFL)
11:45 – 12:15
Active learning for reconstruction of curvilinear structures (Agata Justyna Mosinska, EPFL)
12:15 – 14:00
Lunch break
14:00 – 14:30
Weighted Multiple Instance Learning for Text Regression Tasks (Nikos Pappas, IDIAP)
14:30 – 15:00
An HMM-based formulation for automatic derivation of phone-like subword units and pronunciation lexicon development (Marzieh Razavi, IDIAP)
15:00 – 15:30
Data-driven surface normal learning for accurate multi-view stereo reconstruction (Silvano Galliani, ETHZ)
15:30 – 15:45
Coffee break
15:45 – 16:15
Learning Robot Manipulation Tasks with Tied Gaussian Mixture Models (Ajay Tanwani, IDIAP)
16:15 – 16:45
Fast computation of adversarial examples in convolution networks (Seyed-Mohsen Moosavi-Dezfooli, EPFL)
16:45 – 17:15
Scalable Metric Learning via Weighted Approximate Rank Component Analysis (Cijo Jose, IDIAP)
Attendance is free but please register.
Practical information
- General public
- Free
Organizer
- De Pietro Rosie <rosie.depietro@epfl.ch>
Contact
- De Pietro Rosie <rosie.depietro@epfl.ch>