Torpid Mixing of Some Monte Carlo Markov Chain Algorithms in Statistical Physics. - Christian Borgs; Jennifer T. Chayes; Alan M. Frieze; Jeong Han Kim; Prasad Tetali; Eric Vigoda; Van H. Vu (FOCS, 1999)

Uniform boundedness of critical crossing probabilities implies hyperscaling. - Christian Borgs; Jennifer T. Chayes; Harry Kesten; Joel Spencer (Random Struct. Algorithms, 1999)

Foreword. - Jennifer T. Chayes; Dana Randall (Random Struct. Algorithms, 1999)

On the Sampling Problem for H-Colorings on the Hypercubic Lattice. - Christian Borgs; Jennifer T. Chayes; Martin E. Dyer; Prasad Tetali (Graphs, Morphisms and Statistical Physics, 2001)

Sharp threshold and scaling window for the integer partitioning problem. - Christian Borgs; Jennifer T. Chayes; Boris G. Pittel (STOC, 2001)

The scaling window of the 2-SAT transition. - Béla Bollobás; Christian Borgs; Jennifer T. Chayes; Jeong Han Kim; David Bruce Wilson (Random Struct. Algorithms, 2001)

Phase transition and finite-size scaling for the integer partitioning problem. - Christian Borgs; Jennifer T. Chayes; Boris G. Pittel (Random Struct. Algorithms, 2001)

Phase Transitions in Computer Science. - Jennifer T. Chayes (LATIN, 2002)

Directed scale-free graphs. - Béla Bollobás; Christian Borgs; Jennifer T. Chayes; Oliver Riordan (SODA, 2003)

Competition-Induced Preferential Attachment. - Noam Berger; Christian Borgs; Jennifer T. Chayes; Raissa M. D'Souza; Robert D. Kleinberg (ICALP, 2004)

Exploring the community structure of newsgroups. - Christian Borgs; Jennifer T. Chayes; Mohammad Mahdian; Amin Saberi (KDD, 2004)

Constrained Integer Partitions. - Christian Borgs; Jennifer T. Chayes; Stephan Mertens; Boris G. Pittel (LATIN, 2004)

Phase diagram for the constrained integer partitioning problem. - Christian Borgs; Jennifer T. Chayes; Stephan Mertens; Boris G. Pittel (Random Struct. Algorithms, 2004)

Multi-unit auctions with budget-constrained bidders. - Christian Borgs; Jennifer T. Chayes; Nicole Immorlica; Mohammad Mahdian; Amin Saberi (EC, 2005)

On the spread of viruses on the internet. - Noam Berger; Christian Borgs; Jennifer T. Chayes; Amin Saberi (SODA, 2005)

Degree Distribution of Competition-Induced Preferential Attachment Graphs - Noam Berger; Christian Borgs; Jennifer T. Chayes; Raissa M. D'Souza; Robert D. Kleinberg (CoRR, 2005)

Random subgraphs of finite graphs: I. The scaling window under the triangle condition. - Christian Borgs; Jennifer T. Chayes; Remco van der Hofstad; Gordon Slade; Joel H. Spencer (Random Struct. Algorithms, 2005)

The Kesten-Stigum Reconstruction Bound Is Tight for Roughly Symmetric Binary Channels. - Christian Borgs; Jennifer T. Chayes; Elchanan Mossel; Sébastien Roch (FOCS, 2006)

Graph limits and parameter testing. - Christian Borgs; Jennifer T. Chayes; László Lovász 001; Vera T. Sós; Balázs Szegedy; Katalin Vesztergombi (STOC, 2006)

Random Subgraphs Of Finite Graphs: III. The Phase Transition For The n-Cube. - Christian Borgs; Jennifer T. Chayes; Remco van der Hofstad; Gordon Slade; Joel Spencer (Comb., 2006)

First to market is not everything: an analysis of preferential attachment with fitness. - Christian Borgs; Jennifer T. Chayes; Constantinos Daskalakis; Sébastien Roch (STOC, 2007)

Dynamics of bid optimization in online advertisement auctions. - Christian Borgs; Jennifer T. Chayes; Nicole Immorlica; Kamal Jain; Omid Etesami; Mohammad Mahdian (WWW, 2007)

Fitting the WHOIS Internet data - Raissa M. D'Souza; Christian Borgs; Jennifer T. Chayes; Noam Berger; Robert D. Kleinberg (CoRR, 2007)

The Myth of the Folk Theorem. - Christian Borgs; Jennifer T. Chayes; Nicole Immorlica; Adam Kalai; Vahab S. Mirrokni; Christos H. Papadimitriou (Electron. Colloquium Comput. Complex., 2007)

Emergence of tempered preferential attachment from optimization. - Raissa M. D'Souza; Christian Borgs; Jennifer T. Chayes; Noam Berger; Robert D. Kleinberg (Proc. Natl. Acad. Sci. USA, 2007)

Degree distribution of the FKP network model. - Noam Berger; Béla Bollobás; Christian Borgs; Jennifer T. Chayes; Oliver Riordan (Theor. Comput. Sci., 2007)

Robust PageRank and locally computable spam detection features. - Reid Andersen; Christian Borgs; Jennifer T. Chayes; John E. Hopcroft; Kamal Jain; Vahab S. Mirrokni; Shang-Hua Teng (AIRWeb, 2008)

On the Stability of Web Crawling and Web Search. - Reid Andersen; Christian Borgs; Jennifer T. Chayes; John E. Hopcroft; Vahab S. Mirrokni; Shang-Hua Teng (ISAAC, 2008)

Trust-based recommendation systems: an axiomatic approach. - Reid Andersen; Christian Borgs; Jennifer T. Chayes; Uriel Feige; Abraham D. Flaxman; Adam Kalai; Vahab S. Mirrokni; Moshe Tennenholtz (WWW, 2008)

Local Computation of PageRank Contributions. - Reid Andersen; Christian Borgs; Jennifer T. Chayes; John E. Hopcroft; Vahab S. Mirrokni; Shang-Hua Teng (Internet Math., 2008)

A Natural Dynamics for Bargaining on Exchange Networks - Yashodhan Kanoria; Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Andrea Montanari (CoRR, 2009)

Proof of the local REM conjecture for number partitioning. I: Constant energy scales. - Christian Borgs; Jennifer T. Chayes; Stephan Mertens; Chandra Nair (Random Struct. Algorithms, 2009)

Proof of the local REM conjecture for number partitioning. II. Growing energy scales. - Christian Borgs; Jennifer T. Chayes; Stephan Mertens; Chandra Nair (Random Struct. Algorithms, 2009)

Game-Theoretic Models of Information Overload in Social Networks. - Christian Borgs; Jennifer T. Chayes; Brian Karrer; Brendan Meeder; R. Ravi 001; Ray E. Reagans; Amin Sayedi (WAW, 2010)

A Novel Approach to Propagating Distrust. - Christian Borgs; Jennifer T. Chayes; Adam Tauman Kalai; Azarakhsh Malekian; Moshe Tennenholtz (WINE, 2010)

Tight Bounds for Mixing of the Swendsen-Wang Algorithm at the Potts Transition Point - Christian Borgs; Jennifer T. Chayes; Prasad Tetali (CoRR, 2010)

How to distribute antidote to control epidemics. - Christian Borgs; Jennifer T. Chayes; Ayalvadi Ganesh 001; Amin Saberi (Random Struct. Algorithms, 2010)

The Hitchhiker's Guide to Affiliation Networks: A Game-Theoretic Approach. - Christian Borgs; Jennifer T. Chayes; Jian Ding; Brendan Lucier (ICS, 2011)

Fast Convergence of Natural Bargaining Dynamics in Exchange Networks. - Yashodhan Kanoria; Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Andrea Montanari (SODA, 2011)

Optimal Multi-period Pricing with Service Guarantees - Working Paper. - Christian Borgs; Ozan Candogan; Jennifer T. Chayes; Ilan Lobel; Hamid Nazerzadeh (WINE, 2011)

We know who you followed last summer: inferring social link creation times in twitter. - Brendan Meeder; Brian Karrer; Amin Sayedi; R. Ravi 001; Christian Borgs; Jennifer T. Chayes (WWW, 2011)

Finding undetected protein associations in cell signaling by belief propagation - Marc Bailly-Bechet; Christian Borgs; Alfredo Braunstein; Jennifer T. Chayes; A. Dagkessamanskaia; J.-M. François; Riccardo Zecchina (CoRR, 2011)

Limits of randomly grown graph sequences. - Christian Borgs; Jennifer T. Chayes; László Lovász 001; Vera T. Sós; Katalin Vesztergombi (Eur. J. Comb., 2011)

Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. - Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Riccardo Zecchina (SIAM J. Discret. Math., 2011)

A Sublinear Time Algorithm for PageRank Computations. - Christian Borgs; Michael Brautbar; Jennifer T. Chayes; Shang-Hua Teng (WAW, 2012)

The Power of Local Information in Social Networks. - Christian Borgs; Michael Brautbar; Jennifer T. Chayes; Sanjeev Khanna; Brendan Lucier (WINE, 2012)

I Like Her more than You: Self-determined Communities - Maria-Florina Balcan; Christian Borgs; Mark Braverman; Jennifer T. Chayes; Shang-Hua Teng (CoRR, 2012)

Sublinear Time Algorithm for PageRank Computations and Related Applications - Christian Borgs; Michael Brautbar; Jennifer T. Chayes; Shang-Hua Teng (CoRR, 2012)

Influence Maximization in Social Networks: Towards an Optimal Algorithmic Solution - Christian Borgs; Michael Brautbar; Jennifer T. Chayes; Brendan Lucier (CoRR, 2012)

Pricing and queueing. - Christian Borgs; Jennifer T. Chayes; Sherwin Doroudi; Mor Harchol-Balter; Kuang Xu (SIGMETRICS Perform. Evaluation Rev., 2012)

Finding Endogenously Formed Communities. - Maria-Florina Balcan; Christian Borgs; Mark Braverman; Jennifer T. Chayes; Shang-Hua Teng (SODA, 2013)

Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. - Nurcan Tuncbag; Alfredo Braunstein; Andrea Pagnani; Shao-Shan Carol Huang; Jennifer T. Chayes; Christian Borgs; Riccardo Zecchina; Ernest Fraenkel (J. Comput. Biol., 2013)

Left and right convergence of graphs with bounded degree. - Christian Borgs; Jennifer T. Chayes; Jeff Kahn 001; László Lovász 001 (Random Struct. Algorithms, 2013)

Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases. - Anthony Gitter; Alfredo Braunstein; Andrea Pagnani; Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Riccardo Zecchina; Ernest Fraenkel (Pacific Symposium on Biocomputing, 2014)

Maximizing Social Influence in Nearly Optimal Time. - Christian Borgs; Michael Brautbar; Jennifer T. Chayes; Brendan Lucier (SODA, 2014)

Fixed-Points of Social Choice: An Axiomatic Approach to Network Communities. - Christian Borgs; Jennifer T. Chayes; Adrian Marple; Shang-Hua Teng (CoRR, 2014)

Multiscale Matrix Sampling and Sublinear-Time PageRank Computation. - Christian Borgs; Michael Brautbar; Jennifer T. Chayes; Shang-Hua Teng (Internet Math., 2014)

Optimal Multiperiod Pricing with Service Guarantees. - Christian Borgs; Ozan Candogan; Jennifer T. Chayes; Ilan Lobel; Hamid Nazerzadeh (Manag. Sci., 2014)

Private Graphon Estimation for Sparse Graphs. - Christian Borgs; Jennifer T. Chayes; Adam D. Smith 001 (NIPS, 2015)

Bargaining dynamics in exchange networks. - Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Yash Kanoria; Andrea Montanari (J. Econ. Theory, 2015)

An Axiomatic Approach to Community Detection. - Christian Borgs; Jennifer T. Chayes; Adrian Marple; Shang-Hua Teng (ITCS, 2016)

Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks. - Jennifer T. Chayes (KDD, 2016)

Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. - Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Alessandro Ingrosso; Carlo Lucibello; Luca Saglietti; Riccardo Zecchina (CoRR, 2016)

Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. - Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Alessandro Ingrosso; Carlo Lucibello; Luca Saglietti; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2016)

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. - Pratik Chaudhari; Anna Choromanska; Stefano Soatto; Yann LeCun; Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Levent Sagun; Riccardo Zecchina (ICLR (Poster), 2017)

Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation. - Christian Borgs; Jennifer T. Chayes; Christina E. Lee; Devavrat Shah (NIPS, 2017)

Graphons: A Nonparametric Method to Model, Estimate, and Design Algorithms for Massive Networks. - Christian Borgs; Jennifer T. Chayes (EC, 2017)

Sparse Exchangeable Graphs and Their Limits via Graphon Processes. - Christian Borgs; Jennifer T. Chayes; Henry Cohn; Nina Holden (J. Mach. Learn. Res., 2017)

Convergent sequences of sparse graphs: A large deviations approach. - Christian Borgs; Jennifer T. Chayes; David Gamarnik (Random Struct. Algorithms, 2017)

Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation. - Christian Borgs; Jennifer T. Chayes; Adam D. Smith 001; Ilias Zadik (FOCS, 2018)

Private Algorithms Can Always Be Extended. - Christian Borgs; Jennifer T. Chayes; Adam D. Smith 001; Ilias Zadik (CoRR, 2018)

Algorithmic Greenlining: An Approach to Increase Diversity. - Christian Borgs; Jennifer T. Chayes; Nika Haghtalab; Adam Tauman Kalai; Ellen Vitercik (AIES, 2019)

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. - Maria De-Arteaga; Alexey Romanov; Hanna M. Wallach; Jennifer T. Chayes; Christian Borgs; Alexandra Chouldechova; Sahin Cem Geyik; Krishnaram Kenthapadi; Adam Tauman Kalai (FAT, 2019)

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. - Alexey Romanov; Maria De-Arteaga; Hanna M. Wallach; Jennifer T. Chayes; Christian Borgs; Alexandra Chouldechova; Sahin Cem Geyik; Krishnaram Kenthapadi; Anna Rumshisky; Adam Kalai (NAACL-HLT (1), 2019)

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. - Victor Schmidt; Alexandra Luccioni; S. Karthik Mukkavilli; Narmada Balasooriya; Kris Sankaran; Jennifer T. Chayes; Yoshua Bengio (CoRR, 2019)

Efficient sampling and counting algorithms for the Potts model on Zd at all temperatures. - Christian Borgs; Jennifer T. Chayes; Tyler Helmuth; Will Perkins 001; Prasad Tetali (CoRR, 2019)

The disparate equilibria of algorithmic decision making when individuals invest rationally. - Lydia T. Liu; Ashia Wilson; Nika Haghtalab; Adam Tauman Kalai; Christian Borgs; Jennifer T. Chayes (FAT*, 2020)

Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures. - Christian Borgs; Jennifer T. Chayes; Tyler Helmuth; Will Perkins 001; Prasad Tetali (STOC, 2020)

The Road for Recovery: Aligning COVID-19 efforts and building a more resilient future. - Meredith M. Lee; Alicia D. Johnson; Katherine A. Yelick; Jennifer T. Chayes (IEEE Data Eng. Bull., 2020)

ACM at 75. - Vicki L. Hanson; Jennifer T. Chayes (Commun. ACM, 2022)

Graph Agnostic Randomized Experimental Design. - Christina Lee Yu; Edoardo M. Airoldi; Christian Borgs; Jennifer T. Chayes (CoRR, 2022)

Iterative Collaborative Filtering for Sparse Matrix Estimation. - Christian Borgs; Jennifer T. Chayes; Devavrat Shah; Christina Lee Yu (Oper. Res., 2022)

Disincentivizing Polarization in Social Networks. - Christian Borgs; Jennifer T. Chayes; Christian Ikeokwu; Ellen Vitercik (AiOfAi@IJCAI, 2023)

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. - Shengchao Liu; Weitao Du; Yanjing Li; Zhuoxinran Li; Zhiling Zheng; Chenru Duan; Zhi-Ming Ma; Omar Yaghi; Animashree Anandkumar; Christian Borgs; Jennifer T. Chayes; Hongyu Guo; et al. (NeurIPS, 2023)

ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis. - Zhiling Zheng; Oufan Zhang; Christian Borgs; Jennifer T. Chayes; Omar M. Yaghi (CoRR, 2023)

GPT-4 Reticular Chemist for MOF Discovery. - Zhiling Zheng; Zichao Rong; Nakul Rampal; Christian Borgs; Jennifer T. Chayes; Omar M. Yaghi (CoRR, 2023)

Image and Data Mining in Reticular Chemistry Using GPT-4V. - Zhiling Zheng; Zhiguo He; Omar Khattab; Nakul Rampal; Matei A. Zaharia; Christian Borgs; Jennifer T. Chayes; Omar M. Yaghi (CoRR, 2023)

Tackling Climate Change with Machine Learning. - David Rolnick; Priya L. Donti; Lynn H. Kaack; Kelly Kochanski; Alexandre Lacoste; Kris Sankaran; Andrew Slavin Ross; Nikola Milojevic-Dupont; Natasha Jaques; Anna Waldman-Brown; Alexandra Sasha Luccioni; Tegan Maharaj; et al. (ACM Comput. Surv., 2023)

Efficient sampling and counting algorithms for the Potts model on ℤd at all temperatures. - Christian Borgs; Jennifer T. Chayes; Tyler Helmuth; Will Perkins 001; Prasad Tetali (Random Struct. Algorithms, 2023)

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. - Shengchao Liu; Weitao Du; Yanjing Li; Zhuoxinran Li; Vignesh C. Bhethanabotla; Nakul Rampal; Omar Yaghi; Christian Borgs; Anima Anandkumar; Hongyu Guo; Jennifer T. Chayes (CoRR, 2024)

Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo. - Nakul Rampal; Kaiyu Wang; Matthew Burigana; Lingxiang Hou; Juri Al-Johani; Anna Sackmann; Hanan S. Murayshid; Walaa Abdullah Al-Sumari; Arwa M. Al-Abdulkarim; Nahla Eid Al-Hazmi; Majed O. Al-Awad; Christian Borgs; et al. (CoRR, 2024)

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. - Shengchao Liu; Divin Yan; Weitao Du; Weiyang Liu; Zhuoxinran Li; Hongyu Guo; Christian Borgs; Jennifer T. Chayes; Anima Anandkumar (CoRR, 2024)

System of Agentic AI for the Discovery of Metal-Organic Frameworks. - Théo Jaffrelot Inizan; Sherry Yang 001; Aaron D. Kaplan; Yen-hsu Lin; Jian Yin 030; Saber Mirzaei; Mona Abdelgaid; Ali H. Alawadhi; KwangHwan Cho; Zhiling Zheng; Ekin Dogus Cubuk; Christian Borgs; et al. (CoRR, 2025)

The California Report on Frontier AI Policy. - Rishi Bommasani; Scott R. Singer; Ruth E. Appel; Sarah Cen; A. Feder Cooper; Elena Cryst; Lindsey A. Gailmard; Ian Klaus; Meredith M. Lee; Inioluwa Deborah Raji; Anka Reuel; Drew Spence; et al. (CoRR, 2025)

Advancing Science- and Evidence-based AI Policy. - Rishi Bommasani; Sanjeev Arora; Jennifer T. Chayes; Yejin Choi 001; Mariano-Florentino Cuellar; Li Fei-Fei 001; Daniel E. Ho; Dan Jurafsky; Sanmi Koyejo; Hima Lakkaraju; Arvind Narayanan; Alondra Nelson; et al. (CoRR, 2025)