Professor Sameer Singh and his group have developed a thriving partnership working with researcher Dr. Matt Gardner and colleagues from the Allen Institute for AI (AI2), producing a series of high-profile papers in the past several months on topics such as language modeling and automated question answering systems. AI2 is providing funding to support graduate student researchers who work closely with AI2 researchers co-located in the Computer Science Department in Donald Bren Hall.
Qualcomm Inc. has provided gift funding of $255,000 to Computer Science Professors Charless Fowlkes, Stephan Mandt and Padhraic Smyth. This funding will support Ph.D. students involved in basic research projects across the three groups on topics related to the development of new theories and algorithms in the areas of computer vision and machine learning.
The funded projects will involve collaborations with Qualcomm’s rapidly expanding research and development work in artificial intelligence, with a particular focus on Qualcomm AI/ML research labs in San Diego and Amsterdam.
Professor Pierre Baldi, with PhD students Forest Agostinelli and Stephen McAleer, and senior Alexander Shmakov, have developed a deep reinforcement learning approach to solve Rubik’s cube problems, solving typical problems in about 20 moves. The work was published in Nature Machine Intelligence.
Congratulations to Professor Sameer Singh for receiving two multi-year research awards from the National Science Foundation (NSF). Under the first grant, Sameer and his research team will develop new algorithms to better explain why classifiers make certain decisions, increasing user trust in such models. The second grant focuses on the development of new approached for extracting multimodal information from documents, such as text, images, numbers, and databases, with the goal of automatically creating new knowledge bases from relatively unstructured written documents.
Congratulations to CML graduate students for recent poster awards at the 2017 Southern California Machine Learning Symposium held at USC. Zhengli Zhao and Dheeru Dua (with advisor Sameer Singh) won best poster award for their work on generating natural adversarial examples and Eric Nalisnick (with advisor Padhraic Smyth) won honorable mention for his work on boosting variational inference. There were about 50 student posters presented and over 250 machine learning researchers attended the event. Next SoCal ML Symposium is scheduled for Fall 2018, to be hosted by UCLA.
We are delighted to welcome new faculty member Erik Sudderth to the Center. Erik recently joined the Department of Computer Science at UCI as an Associate Professor. He is well-known for his research in machine learning, with interests in topics such as graphical models and Bayesian nonparametric methods. Erik’s research group is also active in the application of these ideas to artificial intelligence, vision, and the natural and social sciences. More information about Erik and his research group is available at Erik’s Webpage.