Spin Systems: Hardness of Approximate Counting via Phase Transitions

Published on ● Video Link: https://www.youtube.com/watch?v=XLzeAni09Uc



Duration: 46:31
294 views
3


Andreas Galanis, University of Oxford
The Classification Program of Counting Complexity
https://simons.berkeley.edu/talks/andreas-galanis-2016-03-28




Other Videos By Simons Institute for the Theory of Computing


2016-04-15Fathoming Cancer by Interrogating Integrated Interactomes
2016-04-15Network Analysis of Cancer Mutations
2016-04-15Dynamics of 3D Enhancer-Gene Associations Across Diverse Human Cell Types and Tissues
2016-04-15Profiling Cell/Tissue Specific Gene Regulatory Networks
2016-04-15Network Perspective on Expression Changes and Expression Noise in D. melanogaster Chromosomal Deleti
2016-04-15Variation of Regulatory Networks Across Organisms
2016-04-15Cross-Species Interactome Mapping Reveals Network Evolution Principles from Yeasts to Human
2016-04-15Spatial Gene Expression Patterns in Drosophila
2016-04-15Moving Beyond Local Patterns: New Ways to Reason about Biological Network Comparisons
2016-04-15Mapping the Online World: Social Connectedness in the Digital Age
2016-04-04Spin Systems: Hardness of Approximate Counting via Phase Transitions
2016-04-04On the Power of Holographic Algorithms with Matchgates
2016-04-04Approximating 2-State Spin Systems
2016-04-04Counting in Sparse Classes of Structures
2016-04-04Basis Collapse for Holographic Algorithms Over all Domain Sizes
2016-04-04Fine-Grained Complexity Classification of Counting Problems
2016-04-04Counting Matrix Partitions of Graphs
2016-04-04How to Not Prove Two Important Theorems
2016-04-04The Computational Complexity of Counting List H-Colourings, and Related Problems
2016-04-04The Complexity of Computing Averages
2016-04-04Path Coupling, Metrics, and Sampling Problems in Graphs and Hypergraphs



Tags:
Simons Institute
UC Berkeley
computer science
theory of computing
Counting Complexity and Phase Transitions
Andreas Galanis