SEMINAR IN BIOCHEMISTRY, BIOPHYSICS & BIODESIGN WITH DAVID J. SCHWAB, THE GRADUATE CENTER, CUNY


  • Title: "Physical Approaches to Learning and Inference"
  • Speaker: David J. Schwab, Assistant Professor of Biology and Physics, The Graduate Center, CUNY
  • Abstract: I will give a physics perspective to deep learning, a popular set of techniques in machine learning where performance on tasks such as visual object recognition rivals human performance. I present work relating greedy training of so-called deep belief networks to variational real-space renormalization, a method from physics for simplifying complex systems. This connection may help explain how deep networks automatically learn relevant features from data as well as for what types of data deep networks work best. I will then discuss work using quantum-inspired tensor networks for supervised learning. Tensor networks are efficient representations of high-dimensional tensors that have been very successful in modeling many-body physics systems. Methods for optimizing tensor networks can be adapted to learning problems, and we find good performance on classic datasets. I will speculate on why this method works, using a perspective from physics that suggests a natural way forward.
  • The ASRC Structural Biology Initiative is proud to run a joint seminar series in Structural Biology and Biochemistry together with the CCNY Department of Chemistry. Seminars are held Wednesdays at noon in the ASRC’s main auditorium unless otherwise noted. CUNY faculty interested in meeting with visitors are encouraged to directly contact the host at least two weeks in advance of the seminar date.
  • In addition, we’re proud to host a variety of workshops offering technical information on aspects of structural biology techniques.
  • We are happy to include listings of other New York area seminars relevant to the structural biology community; please contact Diane.Beckford@asrc.cuny.edu for more information.
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  • Start Date: 4/25/2018
  • Time: 12:00 PM
  • College: Advanced Science Research Center, GC/CUNY
  • Address: 85 St. Nicholas Terrace, Manhattan
  • Building: CUNY Advanced Science Research Center
  • Room: Auditorium
  • Phone: 212.413.3244
  • Website: http://structbio.asrc.cuny.edu
  • Admission: Free