Machine Learning Seminars
Machine Learning Seminar by Dr. Lia Morra – Neuro-Symbolic AI Advancements in Computer Vision
Short Bio Lia Morra is Assistant Professor (Tenure Track) with the Department of Control and Computer Engineering, Politecnico di Torino, Italy. She received the M.Sc. and PhD degree in Computer Engineering from Politecnico...
Machine Learning Seminar by Dr. Pablo Montero Manso – Large pre-trained models achieve near-optimal time series forecasting
Short Bio Pablo Montero-Manso is a Senior Lecturer at the University of Sydney, currently a Visiting Faculty Researcher at Google. He researches Machine Learning, Artificial Intelligence and Statistical tools for time series...
Machine Learning Seminar by Prof. William Stafford Noble – Deep learning applications in mass spectrometry proteomics and single-cell genomics
Short Bio William Stafford Noble is a Professor in the Department of Genome Sciences and in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. He received the Ph.D. in computer...
Machine Learning Seminar by Prof. Christian S. Jensen – New Vehicle Routing Paradigms Enabled by Big Vehicle Trajectory Data
Short Bio Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns primarily analytics, including machine learning, data mining, and query processing, and data management,...
Machine Learning Seminar by Dr. Xia Ning – Deep Generative Models for Molecule Optimization
Short Bio Dr. Xia Ning is an Associate Professor in the Biomedical Informatics Department, and the Computer Science and Engineering Department, The Ohio State University. She received her Ph.D. in Computer Science and...
Machine Learning Seminar by Alex Gavryushkin – Online Algorithms for Evolutionary and Systems Biology
Short Bio Alex Gavryushkin is an associate professor and Rutherford Discovery Fellow at the University of Canterbury, where he leads the Biological Data Science lab, which he founded in 2017. The lab is primarily interested...
Machine Learning Seminar by Pat Langley – Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models
Short Bio Dr. Pat Langley serves as Director of the Institute for the Study of Learning and Expertise and as a Research Scientist at Stanford University's Center for Design Research. He has contributed to AI and cognitive...
Machine Learning Seminar by Zachary Lipton – RATT: Leveraging Unlabeled Data to Guarantee Generalization
Short Bio Zachary Chase Lipton is the BP Junior Chair Assistant Professor of Operations Research and Machine Learning at Carnegie Mellon University and a Visiting Scientist at Amazon AI. He directs the Approximately Correct...
Machine Learning Seminar by Harris Lin – Beyond accuracy: what should you ask from a predictive model?
Short Bio Harris Lin is a data scientist from Plant and Food Research, whose team has expertise in computer vision technologies, signal processing from smart sensors, natural language processing, data-driven consumer...
Machine Learning Seminar by Mengjie Zhang – Evolutionary Machine Learning: Research, Applications and Challenges
Short Bio Mengjie Zhang is a Fellow of Royal Society of New Zealand, a Fellow of IEEE, an IEEE Distinguished Lecturer, currently Professor of Computer Science at Victoria University of Wellington, where he heads the...
Organization
Steffen Albrecht
