by Katharina Dost | Aug 19, 2021 | ML Student Seminar, News
Where and when: Thursday, Aug 26 at 2-3pm in 303S-561 Speaker: Zac Pullar-Strecker, B.Sc. Student and Research Assistant (for Joerg Wicker) Abstract: Training modern ML models frequently requires large datasets which are expensive and time-consuming to collect. Active...
by Katharina Dost | Aug 12, 2021 | AI Reading Group, News
Where and when: Thursday, Aug 19 at 2-3pm in 303S-561 Abstract A key element of AutoML systems is setting the types of models that will be used for each type of task. For classification and regression problems with tabular data, the use of tree ensemble models (like...
by Katharina Dost | Aug 5, 2021 | ML Student Seminar, News
Where and when: Thursday, Aug 12 at 2-3pm in 303S-561 Speaker: Tech Logg Ding, Ph.D. student, Department of Mechanical Engineering Abstract: Refrigeration systems are essential for various cooling applications in modern society. The majority of the refrigeration...
by Katharina Dost | Jul 29, 2021 | AI Reading Group, News
Where and when: Thursday, Aug 5 at 2-3pm in 303S-561 Abstract A longstanding question in cognitive science concerns the learning mechanisms underlying compositionality in human cognition. Humans can infer the structured relationships (e.g., grammatical rules) implicit...
by Katharina Dost | Jul 22, 2021 | ML Student Seminar, News
Where and when: Thursday, July 29 at 2-3pm in 303S-561 Speaker: Jonathan Kim, PhD student, supervised by Pat Riddle and Joerg Wicker Abstract: Loop closure detection is an essential tool of Simultaneous Localization and Mapping (SLAM) to minimize drift in its...
by Katharina Dost | Jul 15, 2021 | AI Reading Group, News
Where and when: Thursday, July 22 at 2-3pm in 303S-561 Abstract In this paper, we present a new approach to time series forecasting. Time series data are prevalent in many scientific and engineering disciplines. Time series forecasting is a crucial task in modeling...
