Jennifer Chayes
- Tackling Climate Change with Machine Learning
2019/06/10 by David Rolnick, Rolnick, David, Priya L. Donti +48 · 16 voices · 35 citations
Computer Science · Engineering · Environmental Science · Mathematics · #cs.CY #cs.AI #cs.LG #stat.ML
- Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
2016/11/06 by Pratik Chaudhari, Chaudhari, Pratik, Anna Choromanska +15 · 101 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
- Convergent Sequences of Dense Graphs I: Subgraph Frequencies, Metric Properties and Testing
2007/01/31 by Christian Borgs, C. Borgs, J. T. Chayes +11 · 28 citations
Computer Science · Mathematics · #05 #68 #Combinatorics (math.CO) #Complexity and Algorithms in Graphs #FOS: Mathematics #Limits and Structures in Graph Theory #Topological and Geometric Data Analysis #math.CO #msc:05 #msc:68
- Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
2019/05/02 by Victor Schmidt, Alexandra Luccioni, Schmidt, Victor +12 · 1 voice · 2 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Social Sciences · #Climate Change Communication and Perception #Computational and Text Analysis Methods #Meteorological Phenomena and Simulations #Species Distribution and Climate Change #cs.AI #cs.CV
- Moments of Two-Variable Functions and the Uniqueness of Graph Limits
2008/03/08 by Christian Borgs, Jennifer Chayes, Borgs, Christian +4 · 10 citations
Computer Science · Mathematics · #05C99 #28A99 #Classical Analysis and ODEs (math.CA) #Combinatorics (math.CO) #Complexity and Algorithms in Graphs #FOS: Mathematics #Limits and Structures in Graph Theory #Markov Chains and Monte Carlo Methods #math.CA #math.CO #msc:05C99 #msc:28A99
- Maximizing Social Influence in Nearly Optimal Time
2012/12/04 by Christian Borgs, Borgs, Christian, Michael Brautbar +5 · 7 citations
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #F.2.2 #FOS: Computer and information sciences #FOS: Physical sciences #J.4 #Peer-to-Peer Network Technologies #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
- Random subgraphs of finite graphs: I. The scaling window under the triangle condition
2004/01/08 by Christian Borgs, Jennifer T. Chayes, Jennifer Chayes +8 · 11 citations
Computer Science · Mathematics · #05C80 #60K35 #82B43 #Combinatorics (math.CO) #FOS: Mathematics #Graph theory and applications #Limits and Structures in Graph Theory #Probability (math.PR) #Topological and Geometric Data Analysis #math.CO #math.PR #msc:05C80 #msc:60K35 #msc:82B43
- Graphons: A Nonparametric Method to Model, Estimate, and Design Algorithms for Massive Networks
2017/06/04 by Christian Borgs, Jennifer Chayes, Borgs, Christian +1 · 7 citations
Physics and Astronomy · Mathematics · #Complex Network Analysis Techniques #Graph theory and applications #Limits and Structures in Graph Theory
- Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
2023/06/15 by Shengchao Liu, Liu, Shengchao, Weitao Du +23 · 11 citations
Agricultural and Biological Sciences · Engineering · #Advanced Scientific Research Methods #Advanced Theoretical and Applied Studies in Material Sciences and Geometry #Chemical Physics (physics.chem-ph) #Civil and Geotechnical Engineering Research #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- The stochastic geometry of invasion percolation
1985/09/01 by J. T. Chayes, Jennifer Chayes, L. Chayes +2 · 4 citations
Mathematics · Physics and Astronomy · #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #Complex Network Analysis Techniques
- Limits of Sparse Configuration Models and Beyond: Graphexes and Multi-Graphexes
2019/07/02 by Christian Borgs, Borgs, Christian, Jennifer Chayes +5 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Mathematics #Probability (math.PR) #Stochastic processes and statistical mechanics
- Identifiability for graphexes and the weak kernel metric
2018/04/09 by Christian Borgs, Borgs, Christian, Jennifer Chayes +5 · 3 citations
Mathematics · #Graph theory and applications #Limits and Structures in Graph Theory #Stochastic processes and statistical mechanics
- Private Graphon Estimation for Sparse Graphs
2015/06/19 by Christian Borgs, Jennifer T. Chayes, Jennifer Chayes +4 · 5 citations
Computer Science · Mathematics · #Complexity and Algorithms in Graphs #Privacy-Preserving Technologies in Data #Statistical Methods and Inference #cs.CR #cs.DS #math.ST #stat.TH
- Multi-Scale Matrix Sampling and Sublinear-Time PageRank Computation
2012/02/13 by Christian Borgs, Michael Brautbar, Borgs, Christian +5 · 2 citations
Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Social and Information Networks (cs.SI) #cs.DS #cs.SI
- Left and right convergence of graphs with bounded degree
2010/01/31 by Christian Borgs, Jennifer Chayes, Borgs, Christian +5 · 2 citations
Computer Science · Mathematics · #05C60 #60F99 #Advanced Combinatorial Mathematics #Combinatorics (math.CO) #FOS: Mathematics #Mathematical Dynamics and Fractals #Probability (math.PR) #Topological and Geometric Data Analysis #math.CO #math.PR #msc:05C60 #msc:60F99
- Advancing Science- and Evidence-based AI Policy
2025/07/31 by Rishi Bommasani, Bommasani, Rishi, Sanjeev Arora +37 · 1 voice · 7 citations
Medicine · Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences
- Random subgraphs of finite graphs: III. The phase transition for the n-cube
2004/01/08 by Christian Borgs, Jennifer T. Chayes, Jennifer Chayes +8 · 1 citation
Computer Science · Mathematics · #05C80 #60K35 #82B43 #Combinatorics (math.CO) #Computational Geometry and Mesh Generation #FOS: Mathematics #Probability (math.PR) #Stochastic processes and statistical mechanics #math.CO #math.PR #msc:05C80 #msc:60K35 #msc:82B43
- Proof of the local REM conjecture for number partitioning I: Constant\n energy scales
2005/01/31 by Christian Borgs, Jennifer Chayes, Borgs, Christian +5 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Mathematics #FOS: Physical sciences #Markov Chains and Monte Carlo Methods #Mathematical Physics (math-ph) #Probability (math.PR) #Statistical Mechanics (cond-mat.stat-mech) #Theoretical and Computational Physics #Topological and Geometric Data Analysis #cond-mat.dis-nn #cond-mat.stat-mech #math-ph #math.MP #math.PR
- Proof of the local REM conjecture for number partitioning II: growing energy scales
2005/08/25 by Christian Borgs, Jennifer Chayes, Borgs, Christian +5 · 1 citation
Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Random Matrices and Applications #Statistical Mechanics (cond-mat.stat-mech) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #cond-mat.dis-nn #cond-mat.stat-mech
- Tight Bounds for Mixing of the Swendsen-Wang Algorithm at the Potts Transition Point
2010/11/12 by Christian Borgs, Jennifer T. Chayes, Borgs, Christian +4 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Algorithms and Data Compression #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics #cs.DM #math-ph #math.MP #math.PR
- THE OPTIMAL ADMISSION THRESHOLD IN OBSERVABLE QUEUES WITH STATE DEPENDENT PRICING
2013/12/13 by Christian Borgs, Jennifer Chayes, Jennifer T. Chayes +4 · 1 citation
Business, Management and Accounting · Social Sciences · #Advanced Queuing Theory Analysis #Supply Chain and Inventory Management #Transportation Planning and Optimization
- Iterative Collaborative Filtering for Sparse Matrix Estimation
2017/12/03 by Christian Borgs, Jennifer Chayes, Borgs, Christian +5 · 1 citation
Computer Science · Engineering · Mathematics · #Distributed Sensor Networks and Detection Algorithms #FOS: Mathematics #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- The Kesten-Stigum Reconstruction Bound Is Tight for Roughly Symmetric Binary Channels
2006/04/17 by Christian Borgs, Jennifer Chayes, Borgs, Christian +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Computational Complexity (cs.CC) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Populations and Evolution (q-bio.PE) #Probability (math.PR) #cs.CC #math.PR #q-bio.PE
- Efficient sampling and counting algorithms for the Potts model on\n mathbb Zd at all temperatures
2019/09/19 by Christian Borgs, Borgs, Christian, Jennifer Chayes +7 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- First to Market is not Everything: an Analysis of Preferential Attachment with Fitness
2007/10/25 by Christian Borgs, Jennifer Chayes, Borgs, Christian +6 · 1 citation
Business, Management and Accounting · Computer Science · Decision Sciences · Mathematics · Psychology · Social Sciences · #Business Strategy and Innovation #Evolutionary Game Theory and Cooperation #Evolutionary Psychology and Human Behavior #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Probability (math.PR) #Social and Information Networks (cs.SI) #cs.SI #math.PR
- Random subgraphs of finite graphs: I. The scaling window under the triangle condition
2005/01/13 by Christian Borgs, Jennifer Chayes, Jennifer T. Chayes +3 · 1 citation
Mathematics · #Limits and Structures in Graph Theory #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics
- Convergent sequences of sparse graphs: A large deviations approach
2013/02/19 by Christian Borgs, Borgs, Christian, Jennifer Chayes +3 · 1 citation
Mathematics · #Combinatorics (math.CO) #FOS: Mathematics #Graph theory and applications #Limits and Structures in Graph Theory #Probability (math.PR) #advanced mathematical theories #math.CO #math.PR
- Fixed-Points of Social Choice: An Axiomatic Approach to Network Communities
2014/10/20 by Christian Borgs, Jennifer Chayes, Borgs, Christian +6 · 1 citation
Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computational Complexity (cs.CC) #Computer Science and Game Theory (cs.GT) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Opinion Dynamics and Social Influence #Social Media and Politics #Social and Information Networks (cs.SI) #cs.CC #cs.DS #cs.GT #cs.IR #cs.SI
- Image and Data Mining in Reticular Chemistry Using GPT-4V
2023/12/09 by Zhiling Zheng, Zheng, Zhiling, He Zhiguo +13 · 1 citation
Computer Science · Materials Science · #Advanced Nanomaterials in Catalysis #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Information Retrieval (cs.IR) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Comparison of LLMs in extracting synthesis conditions and generating Q&A datasets for metal–organic frameworks
2025/01/01 by Yuang Shi, Nakul Rampal, Chengbin Zhao +4 · 2 voices · 1 citation
Chemistry · Materials Science · #Metal-Organic Frameworks: Synthesis and Applications #Machine Learning in Materials Science #Zeolite Catalysis and Synthesis
- The van den Berg-Kesten-Reimer Inequality: A Review
1999/01/01 by Christian Borgs, Jennifer Chayes, Dana Randall · 1 citation
Mathematics · #Mathematics and Applications #Point processes and geometric inequalities