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2020 – today
- 2024
[i32]Tad Hogg:
Chemical Power Variability among Microscopic Robots in Blood Vessels. CoRR abs/2409.04916 (2024)- 2023
- [i31]Tad Hogg:
Chemical Power for Swarms of Microscopic Robots in Blood Vessels. CoRR abs/2301.11286 (2023) - 2021
- [j33]Bernardo A. Huberman, Tad Hogg
:
Privacy and data balkanization: circumventing the barriers. AI Ethics 1(3): 347-353 (2021) - [j32]Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro:
Classical symmetries and the Quantum Approximate Optimization Algorithm. Quantum Inf. Process. 20(11): 359 (2021) - [j31]Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel:
Quantum-assisted associative adversarial network: applying quantum annealing in deep learning. Quantum Mach. Intell. 3(2): 1-14 (2021) - [i30]Tad Hogg:
Acoustic Power for Swarms of Microscopic Robots. CoRR abs/2106.03923 (2021) - 2020
- [j30]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 166:1-166:20 (2020) - [i29]Bernardo A. Huberman, Tad Hogg:
Privacy and Data Balkanization: Circumventing the Barriers. CoRR abs/2010.03672 (2020) - [i28]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. CoRR abs/2010.12571 (2020) - [i27]Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro:
Classical symmetries and QAOA. CoRR abs/2012.04713 (2020)
2010 – 2019
- 2019
- [i26]Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel:
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning. CoRR abs/1904.10573 (2019) - [i25]Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. CoRR abs/1909.09633 (2019) - 2018
- [c46]Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. ICWSM 2018: 568-571 - [i24]Ralph C. Merkle, Robert A. Freitas Jr., Tad Hogg, Thomas E. Moore, Matthew S. Moses, James Ryley:
Mechanical Computing Systems Using Only Links and Rotary Joints. CoRR abs/1801.03534 (2018) - [i23]Tad Hogg:
Stress-Based Navigation for Microscopic Robots in Viscous Fluids. CoRR abs/1804.00762 (2018) - [i22]Tad Hogg:
Identifying Vessel Branching from Fluid Stresses on Microscopic Robots. CoRR abs/1810.07824 (2018) - 2017
- [c45]Andrés Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck, Tad Hogg, Kristina Lerman:
Taming the Unpredictability of Cultural Markets with Social Influence. WWW 2017: 745-754 - 2016
- [c44]Tad Hogg, Kristina Lerman:
Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content. HCOMP 2016: 69-78 - [i21]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang:
The DARPA Twitter Bot Challenge. CoRR abs/1601.05140 (2016) - 2015
- [j29]Tad Hogg, Kristina Lerman:
Disentangling the Effects of Social Signals. Hum. Comput. 2(2): 189-208 (2015) - [i20]Tad Hogg:
Energy Dissipation by Metamorphic Micro-Robots in Viscous Fluids. CoRR abs/1507.01145 (2015) - 2014
- [i19]Tad Hogg, Kristina Lerman:
Effects of Social Influence in Peer Online Recommendation. CoRR abs/1410.6744 (2014) - 2013
- [c43]Kristina Lerman, Tad Hogg:
Using Visibility to Control Collective Attention in Crowdsourcing. HCOMP (Works in Progress / Demos) 2013 - [c42]Tad Hogg, Kristina Lerman, Laura M. Smith:
Using Stochastic Models to Predict User Response in Social Media. SocialCom 2013: 63-68 - [r1]Tad Hogg:
Stochastic Modeling of Social Behavior on Digg. Handbook of Human Computation 2013: 769-778 - [i18]Tad Hogg, Kristina Lerman, Laura M. Smith:
Stochastic Models Predict User Behavior in Social Media. CoRR abs/1308.2705 (2013) - [i17]Tad Hogg:
Locomotion of Microscopic Robots in Viscous Fluids. CoRR abs/1311.0801 (2013) - 2012
- [j28]Tad Hogg, Kristina Lerman:
Social dynamics of Digg. EPJ Data Sci. 1(1): 5 (2012) - [j27]Tad Hogg, Robert A. Freitas Jr.:
Acoustic communication for medical nanorobots. Nano Commun. Networks 3(2): 83-102 (2012) - [j26]Kristina Lerman, Tad Hogg:
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. ACM Trans. Intell. Syst. Technol. 3(4): 62:1-62:33 (2012) - [i16]Tad Hogg, Kristina Lerman:
Social Dynamics of Digg. CoRR abs/1202.0031 (2012) - [i15]Tad Hogg, Robert A. Freitas Jr.:
Acoustic Communication for Medical Nanorobots. CoRR abs/1202.0568 (2012) - [i14]Huan-Kai Peng, Ying Zhang, Peter Pirolli, Tad Hogg:
Thermodynamic Principles in Social Collaborations. CoRR abs/1204.3663 (2012) - 2011
- [c41]Kristina Lerman, Aram Galstyan, Greg Ver Steeg, Tad Hogg:
Social Mechanics: An Empirically Grounded Science of Social Media. The Future of the Social Web 2011 - [i13]Tad Hogg:
Solving Highly Constrained Search Problems with Quantum Computers. CoRR abs/1105.5459 (2011) - 2010
- [j25]Tad Hogg:
Inferring preference correlations from social networks. Electron. Commer. Res. Appl. 9(1): 29-37 (2010) - [j24]Kay-Yut Chen, Tad Hogg:
Reputation mechanisms in an exchange economy. Electron. Commer. Res. Appl. 9(5): 446-459 (2010) - [c40]Tad Hogg, Kristina Lerman:
Social Dynamics of Digg. ICWSM 2010 - [c39]Kristina Lerman, Tad Hogg:
Using a model of social dynamics to predict popularity of news. WWW 2010: 621-630 - [i12]Kristina Lerman, Tad Hogg:
Using a Model of Social Dynamics to Predict Popularity of News. CoRR abs/1004.5354 (2010) - [i11]Kristina Lerman, Tad Hogg:
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. CoRR abs/1010.0237 (2010)
2000 – 2009
- 2009
- [c38]Kay-Yut Chen, Tad Hogg:
Modeling Risky Economic Decision-Making with Bounded Rationality. AAAI Spring Symposium: Human Behavior Modeling 2009: 1-6 - [c37]Kristina Lerman, Tad Hogg:
Stochastic Models of Large-Scale Human Behavior on the Web. AAAI Spring Symposium: Human Behavior Modeling 2009: 37-42 - [c36]Tad Hogg:
Security challenges for reputation mechanisms using online social networks. AISec 2009: 31-34 - [c35]Michael J. Brzozowski, Thomas Sandholm, Tad Hogg:
Effects of feedback and peer pressure on contributions to enterprise social media. GROUP 2009: 61-70 - [c34]Tad Hogg, Kristina Lerman:
Stochastic Models of User-Contributory Web Sites. ICWSM 2009 - [c33]Tad Hogg, Gábor Szabó:
Diversity of User Activity and Content Quality in Online Communities. ICWSM 2009 - [i10]Tad Hogg, Kristina Lerman:
Stochastic Models of User-Contributory Web Sites. CoRR abs/0904.0016 (2009) - [i9]Tad Hogg, Robert A. Freitas Jr.:
Chemical Power for Microscopic Robots in Capillaries. CoRR abs/0906.5022 (2009) - 2008
- [j23]Kay-Yut Chen, Tad Hogg:
Experiments with probabilistic quantum auctions. Quantum Inf. Process. 7(4): 139-152 (2008) - [c32]Tad Hogg, Bernardo A. Huberman:
Solving the Organizational Free Riding Problem with Social Networks. AAAI Spring Symposium: Social Information Processing 2008: 24-29 - [c31]Tad Hogg, Dennis M. Wilkinson, Gábor Szabó, Michael J. Brzozowski:
Multiple Relationship Types in Online Communities and Social Networks. AAAI Spring Symposium: Social Information Processing 2008: 30-35 - [c30]Michael J. Brzozowski, Tad Hogg, Gábor Szabó:
Friends and foes: ideological social networking. CHI 2008: 817-820 - [c29]Tad Hogg, Gábor Szabó:
Diversity of online community activities. Hypertext 2008: 227-228 - [c28]Tad Hogg, Mingjun Zhang, Ruoting Yang:
Modeling and analysis of DNA hybridization dynamics at microarray surface in moving fluid. ICRA 2008: 3419-3424 - [p4]Tad Hogg:
Distributed Control of Microscopic Robots in Biomedical Applications. Advances in Applied Self-organizing Systems 2008: 147-174 - [i8]Tad Hogg, Gábor Szabó:
Diversity of Online Community Activities. CoRR abs/0803.3482 (2008) - [i7]Tad Hogg:
Modeling Microscopic Chemical Sensors in Capillaries. CoRR abs/0811.1520 (2008) - 2007
- [j22]Tad Hogg:
Coordinating microscopic robots in viscous fluids. Auton. Agents Multi Agent Syst. 14(3): 271-305 (2007) - [j21]Tad Hogg, Greg Snider:
Defect-tolerant Logic with Nanoscale Crossbar Circuits. J. Electron. Test. 23(2-3): 117-129 (2007) - [c27]Kay-Yut Chen, Tad Hogg, Bernardo A. Huberman:
Behavior of Multi-Agent Protocols Using Quantum Entanglement. AAAI Spring Symposium: Quantum Interaction 2007: 1-8 - 2006
- [j20]Kay-Yut Chen, Tad Hogg:
How Well Do People Play a Quantum Prisoner's Dilemma? Quantum Inf. Process. 5(1): 43-67 (2006) - [c26]Adriano Cavalcanti, Tad Hogg, Bijan Shirinzadeh, Hwee Choo Liaw:
Nanorobot Communication Techniques: A Comprehensive Tutorial. ICARCV 2006: 1-6 - [p3]Tad Hogg:
Phase Transitions for Quantum Search Algorithms. Computational Complexity and Statistical Physics 2006: 223-248 - [i6]Aram Galstyan, Tad Hogg, Kristina Lerman:
Modeling and Mathematical Analysis of Swarms of Microscopic Robots. CoRR abs/cs/0604110 (2006) - [i5]Tad Hogg:
Distributed Control of Microscopic Robots in Biomedical Applications. CoRR abs/cs/0611111 (2006) - 2005
- [c25]Tad Hogg, David W. Sretavan:
Controlling Tiny Multi-Scale Robots for Nerve Repair. AAAI 2005: 1286-1291 - [c24]Aram Galstyan, Tad Hogg, Kristina Lerman:
Modeling and mathematical analysis of swarms of microscopic robots. SIS 2005: 201-208 - [c23]Kay-Yut Chen, Tad Hogg:
Experimental Evaluation of an eBay-Style Self-reporting Reputation Mechanism. WINE 2005: 434-443 - 2004
- [c22]Kay-Yut Chen, Tad Hogg, Nathan Wozny:
Experimental study of market reputation mechanisms. EC 2004: 234-235 - [c21]Tad Hogg, Lada A. Adamic:
Enhancing reputation mechanisms via online social networks. EC 2004: 236-237 - [i4]Kristina Lerman, Aram Galstyan, Tad Hogg:
Mathematical Analysis of Multi-Agent Systems. CoRR cs.RO/0404002 (2004) - 2003
- [j19]Bernardo A. Huberman, Tad Hogg:
Quantum Solution of Coordination Problems. Quantum Inf. Process. 2(6): 421-432 (2003) - 2002
- [j18]Hristo Bojinov, Arancha Casal, Tad Hogg:
Multiagent control of self-reconfigurable robots. Artif. Intell. 142(2): 99-120 (2002) - [j17]Kay-Yut Chen, Tad Hogg, Raymond G. Beausoleil:
A Quantum Treatment of Public Goods Economics. Quantum Inf. Process. 1(6): 449-469 (2002) - [c20]Alex Fabrikant, Tad Hogg:
Graph Coloring with Quantum Heuristics. AAAI/IAAI 2002: 22-27 - 2001
- [c19]Jeremy Kubica, Arancha Casal, Tad Hogg:
Complex Behaviors From Local Rules In Modular Self-Reconfigurable Robots. ICRA 2001: 360-367 - [c18]Jeremy Kubica, Arancha Casal, Tad Hogg:
Agent-Based Control for Object Manipulation with Modular Self-reconfigurable Robots. IJCAI 2001: 1344-1352 - [c17]Bernardo A. Huberman, Tad Hogg, Arun Swami:
Using unsuccessful auction bids to identify latent demand. SMC 2001: 2911-2916 - 2000
- [j16]Tad Hogg, Dmitriy Portnov:
Quantum optimization. Inf. Sci. 128(3-4): 181-197 (2000) - [c16]Tad Hogg, Bernardo A. Huberman, Matthew K. Franklin:
Protecting privacy while sharing information in electronic communities. CFP 2000: 73-75 - [c15]Hristo Bojinov, Arancha Casal, Tad Hogg:
Multiagent Control of Self-Reconfigurable Robots. ICMAS 2000: 143-150 - [c14]Hristo Bojinov, Arancha Casal, Tad Hogg:
Emergent Structures in Modular Self-Reconfigurable Robots. ICRA 2000: 1734-1741 - [i3]Hristo Bojinov, Arancha Casal, Tad Hogg:
Multiagent Control of Self-reconfigurable Robots. CoRR cs.RO/0006030 (2000)
1990 – 1999
- 1999
- [j15]Tad Hogg:
Solving Highly Constrained Search Problems with Quantum Computers. J. Artif. Intell. Res. 10: 39-66 (1999) - [c13]Bernardo A. Huberman, Matthew K. Franklin, Tad Hogg:
Enhancing privacy and trust in electronic communities. EC 1999: 78-86 - 1998
- [c12]Tad Hogg:
Which Search Problems Are Random? AAAI/IAAI 1998: 438-443 - [c11]Tad Hogg:
Controlling chaos in distributed computational systems. SMC 1998: 632-637 - 1997
- [j14]Dorothy L. Mammen, Tad Hogg:
A New Look at the Easy-Hard-Easy Pattern of Combinatorial Search Difficulty. J. Artif. Intell. Res. 7: 47-66 (1997) - [c10]Björn Carlson, Vineet Gupta, Tad Hogg:
Controlling Agents in Smart Matter with Global Constraints. AAAI Workshop: Constraints & Agents 1997: 58-63 - [c9]Tad Hogg:
Exploiting the Deep Structure of Constraint Satisfaction Problems with Quantum Computers. AAAI/IAAI 1997: 334-339 - [i2]Dorothy L. Mammen, Tad Hogg:
A New Look at the Easy-Hard-Easy Pattern of Combinatorial Search Difficulty. CoRR cs.AI/9707101 (1997) - 1996
- [j13]Tad Hogg, Bernardo A. Huberman, Colin P. Williams:
Phase Transitions and the Search Problem. Artif. Intell. 81(1-2): 1-15 (1996) - [j12]Tad Hogg:
Refining the Phase Transition in Combinatorial Search. Artif. Intell. 81(1-2): 127-154 (1996) - [j11]Scott H. Clearwater, Tad Hogg:
Problem Structure Heuristics and Scaling Behavior for Genetic Algorithms. Artif. Intell. 81(1-2): 327-347 (1996) - [j10]Tad Hogg:
Quantum Computing and Phase Transitions in Combinatorial Search. J. Artif. Intell. Res. 4: 91-128 (1996) - [i1]Tad Hogg:
Quantum Computing and Phase Transitions in Combinatorial Search. CoRR cs.AI/9603101 (1996) - 1995
- [j9]Bernardo A. Huberman, Tad Hogg:
Communities of practice: Performance and evolution. Comput. Math. Organ. Theory 1(1): 73-92 (1995) - [c8]Natalie S. Glance, Tad Hogg:
Dilemmas in Computational Societies. ICMAS 1995: 117-124 - [c7]Tad Hogg:
Social Dilemmas in Computational Ecosystems. IJCAI (1) 1995: 711-718 - 1994
- [j8]Tad Hogg, Colin P. Williams:
The Hardest Constraint Problems: A Double Phase Transition. Artif. Intell. 69(1-2): 359-377 (1994) - [j7]Colin P. Williams, Tad Hogg:
Exploiting the Deep Structure of Constraint Problems. Artif. Intell. 70(1-2): 73-117 (1994) - [c6]Tad Hogg, Colin P. Williams:
Expected Gains from Parallelizing Constraint Solving for Hard Problems. AAAI 1994: 331-336 - [c5]Scott H. Clearwater, Tad Hogg:
Exploiting Problem Structure in Genetic Algorithms. AAAI 1994: 1310-1315 - 1993
- [j6]Colin P. Williams, Tad Hogg:
The Typicality of Phase Transitions in Search. Comput. Intell. 9: 221-238 (1993) - [c4]Colin P. Williams, Tad Hogg:
Extending Deep Structure. AAAI 1993: 152-157 - [c3]Tad Hogg, Colin P. Williams:
Solving the Really Hard Problems with Cooperative Search. AAAI 1993: 231-236 - 1992
- [j5]Carl A. Waldspurger, Tad Hogg, Bernardo A. Huberman, Jeffrey O. Kephart, W. Scott Stornetta:
Spawn: A Distributed Computational Economy. IEEE Trans. Software Eng. 18(2): 103-117 (1992) - [c2]Colin P. Williams, Tad Hogg:
Using Deep Structure to Locate Hard Problems. AAAI 1992: 472-477 - [p2]Scott H. Clearwater, Tad Hogg, Bernardo A. Huberman:
Cooperative Problem solving. Computation: The Micro and the Macro View 1992: 33-70 - 1991
- [j4]Tad Hogg, Bernardo A. Huberman:
Controlling chaos in distributed systems. IEEE Trans. Syst. Man Cybern. 21(6): 1325-1332 (1991) - 1990
- [j3]Tad Hogg, Jeffrey O. Kephart:
Phase transitions in high-dimensional pattern classification. Comput. Syst. Sci. Eng. 5(4): 223-232 (1990) - [j2]W. Scott Stornetta, Bernardo A. Huberman, Tad Hogg:
Scaling theory for fault stealing algorithms in large systolic arrays. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 9(3): 290-298 (1990)
1980 – 1989
- 1989
- [p1]Jeffrey O. Kephart, Tad Hogg, Bernardo A. Huberman:
Dynamics of Computational Ecosystems: Implications for DAI. Distributed Artificial Intelligence 1989: 79-95 - 1987
- [j1]Bernardo A. Huberman, Tad Hogg:
Phase Transitions in Artificial Intelligence Systems. Artif. Intell. 33(2): 155-171 (1987) - [c1]W. Scott Stornetta, Tad Hogg, Bernardo A. Huberman:
A Dynamical Approach to Temporal Pattern Processing. NIPS 1987: 750-759
Coauthor Index
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