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- Tao Zou, Ronan Le Bras, Marcos Antonio Vaz Salles, Alan J. Demers, Johannes Gehrke
- The VLDB Journal
- 2014
An increasing number of distributed data-driven applications are moving into shared public clouds. By sharing resources and operating at scale, public clouds promise higher utilization and lower… (More)
- Ronan Le Bras, Bistra N. Dilkina, +4 authors Claire A. Montgomery
- AAAI
- 2013
Our work is motivated by an important network design application in computational sustainability concerning wildlife conservation. In the face of human development and climate change, it is important… (More)
- Ronan Le Bras, Carla P. Gomes, Bart Selman
- AAAI
- 2012
In recent years, significant progress in the area of search, constraint satisfaction, and automated reasoning has been driven in part by the study of challenge problems from combinatorics and finite… (More)
- Ronan Le Bras, Carla P. Gomes, Bart Selman
- IJCAI
- 2013
We present the first polynomial time construction procedure for generating graceful double-wheel graphs. A graph is graceful if its vertices can be labeled with distinct integer values from {0, ...,… (More)
Acknowledgments As illustrated on the Al-Li-Fe diagram (right), our method outperforms the current state of the art (NMF, Long et al. ‘09) as it better captures the underlying phases and ensures… (More)
In combinatorial materials discovery, one searches for new materials with desirable properties by obtaining measurements on hundreds of samples in a single high-throughput batch experiment. As manual… (More)
Newly-discovered materials have been central to recent technological advances. They have contributed significantly to breakthroughs in electronics, renewable energy and green buildings, and overall,… (More)
- Stefano Ermon, Ronan Le Bras, +4 authors R. Bruce van Dover
- AAAI
- 2015
Identifying important components or factors in large amounts of noisy data is a key problem in machine learning and data mining. Motivated by a pattern decomposition problem in materials discovery,… (More)
- Marcelo Finger, Ronan Le Bras, Carla P. Gomes, Bart Selman
- SAT
- 2013
Practical problems often combine real-world hard constraints with soft constraints involving preferences, uncertainties or flexible requirements. A probability distribution over the models that meet… (More)
- Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman
- HCOMP
- 2014
We propose a general framework for boosting combinatorial solvers through human computation. Our framework combines insights from human workers with the power of combinatorial optimization. The… (More)