Ferenc Huszár
Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge with extensive expertise in Bayesian methods and causal inference. He has contributed to influential AI research, including a widely cited paper on SR-GAN, and has held roles at Twitter, Magic Pony, and Balderton. Huszár actively co-advises PhD students and engages with the machine learning community through research and thought leadership.
Ferenc Huszár
Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge with extensive expertise in Bayesian methods and causal inference. He has contributed to influential AI research, including a widely cited paper on SR-GAN, and has held roles at Twitter, Magic Pony, and Balderton. Huszár actively co-advises PhD students and engages with the machine learning community through research and thought leadership.