Manuel Gomez-Rodriguez

126 papers A* 18A 15B 1Journal 78Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Test-Time Compute Games. CoRR Ander Artola Velasco, Dimitrios Rontogiannis, Stratis Tsirtsis, Manuel Gomez-Rodriguez
2025	J	`jnl`	Artificial intelligence for modelling infectious disease epidemics. Nat. Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt
2025	J	`jnl`	Auditing Pay-Per-Token in Large Language Models. CoRR Ander Artola Velasco, Stratis Tsirtsis, Manuel Gomez-Rodriguez
2025	J	`jnl`	Canonical Autoregressive Generation. CoRR Ivi Chatzi, Nina Corvelo Benz, Stratis Tsirtsis, Manuel Gomez-Rodriguez
2025	—	`conf`	Counterfactual Token Generation in Large Language Models. CLeaR Ivi Chatzi, Nina L. Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez-Rodriguez
2025	J	`jnl`	Evaluation of Large Language Models via Coupled Token Generation. CoRR Nina Corvelo Benz, Stratis Tsirtsis, Eleni Straitouri, Ivi Chatzi, Ander Artola Velasco, Suhas Thejaswi, Manuel Gomez-Rodriguez
2025	J	`jnl`	Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives. CoRR Ander Artola Velasco, Stratis Tsirtsis, Nastaran Okati, Manuel Gomez-Rodriguez
2025	—	`conf`	Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes. CLeaR Seungeon Lee, Nina L. Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez
2025	J	`jnl`	Narrowing Action Choices with AI Improves Human Sequential Decisions. CoRR Eleni Straitouri, Stratis Tsirtsis, Ander Artola Velasco, Manuel Gomez-Rodriguez
2025	J	`jnl`	Towards Human-AI Complementarity in Matching Tasks. CoRR Adrián Arnaiz-Rodríguez, Nina Corvelo Benz, Suhas Thejaswi, Nuria Oliver, Manuel Gomez-Rodriguez
2024	J	`jnl`	Counterfactual Token Generation in Large Language Models. CoRR Ivi Chatzi, Nina Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez-Rodriguez
2024	J	`jnl`	Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes. CoRR Seungeon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez
2024	J	`jnl`	Optimal Decision Making Under Strategic Behavior. Manag. Sci. Stratis Tsirtsis, Behzad Tabibian, Moein Khajehnejad, Adish Singla, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2024	J	`jnl`	Towards Human-AI Complementarity with Predictions Sets. CoRR Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez
2023	J	`jnl`	Finding Counterfactually Optimal Action Sequences in Continuous State Spaces. CoRR Stratis Tsirtsis, Manuel Gomez-Rodriguez
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I ECML/PKDD (1) Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi
2022	A*	`conf`	Counterfactual Temporal Point Processes. NeurIPS Kimia Noorbakhsh, Manuel Gomez-Rodriguez
2022	J	`jnl`	Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
2022	J	`jnl`	Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. ACM Trans. Spatial Algorithms Syst. Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2022	J	`jnl`	The Network Visibility Problem. ACM Trans. Inf. Syst. Khashayar Gatmiry, Manuel Gomez-Rodriguez
2021	J	`jnl`	Counterfactual Explanations in Sequential Decision Making Under Uncertainty. CoRR Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez
2021	A*	`conf`	Differentiable Learning Under Triage. NeurIPS Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
2021	J	`jnl`	Differentiable Learning Under Triage. CoRR Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
2021	J	`jnl`	Group Testing under Superspreading Dynamics. CoRR Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
2021	J	`jnl`	Reinforcement Learning Under Algorithmic Triage. CoRR Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez
2020	J	`jnl`	A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment. CoRR Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2020	A	`conf`	Can A User Guess What Her Followers Want? WSDM Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2020	J	`jnl`	Classification Under Human Assistance. CoRR Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez
2020	J	`jnl`	Decisions, Counterfactual Explanations and Strategic Behavior. CoRR Stratis Tsirtsis, Manuel Gomez-Rodriguez
2020	J	`jnl`	Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively. CoRR Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez
2020	J	`jnl`	Learning to Switch Between Machines and Humans. CoRR Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez
2020	J	`jnl`	NEVAE: A Deep Generative Model for Molecular Graphs. J. Mach. Learn. Res. Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez
2020	J	`jnl`	PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation. CoRR Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo, Matthew Lentz, Aastha Mehta, Bernhard Schölkopf
2020	A*	`conf`	Regression under Human Assistance. AAAI Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
2020	J	`jnl`	Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLoS Comput. Biol. Isobel Routledge, Shengjie Lai, Katherine E. Battle, Azra C. Ghani, Manuel Gomez-Rodriguez, Kyle Gustafson, Swapnil Mishra, Juliette Unwin, Joshua L. Proctor, Andrew J. Tatem, Zhongjie Li, Samir Bhatt
2019	J	`jnl`	Can A User Anticipate What Her Followers Want? CoRR Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2019	J	`jnl`	Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2019	J	`jnl`	Improving Consequential Decision Making under Imperfect Predictions. CoRR Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera
2019	A	`conf`	On the Complexity of Opinions and Online Discussions. WSDM Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2019	J	`jnl`	Optimal Decision Making Under Strategic Behavior. CoRR Moein Khajehnejad, Behzad Tabibian, Bernhard Schölkopf, Adish Singla, Manuel Gomez-Rodriguez
2019	J	`jnl`	Regression Under Human Assistance. CoRR Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
2018	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2018	J	`jnl`	Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
2018	J	`jnl`	Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. CoRR Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez
2018	—	`conf`	Fake News Detection in Social Networks via Crowd Signals. WWW (Companion Volume) Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause
2018	A	`conf`	Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. WSDM Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2018	A*	`conf`	On the Causal Effect of Badges. WWW Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
2018	J	`jnl`	On the Complexity of Opinions and Online Discussions. CoRR Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2018	J	`jnl`	On the Network Visibility Problem. CoRR Khashayar Gatmiry, Manuel Gomez-Rodriguez
2018	J	`jnl`	Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2018	J	`jnl`	Stochastic Optimal Control of Epidemic Processes in Networks. CoRR Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2018	J	`jnl`	Teaching Multiple Concepts to Forgetful Learners. CoRR Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2017	A*	`conf`	A Broad View of the Ecosystem of Socially Engineered Exploit Documents. NDSS Stevens Le Blond, Cédric Gilbert, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, David R. Choffnes
2017	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2017	J	`jnl`	Cheshire: An Online Algorithm for Activity Maximization in Social Networks. CoRR Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2017	J	`jnl`	Detecting Fake News in Social Networks via Crowdsourcing. CoRR Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause
2017	—	`conf`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW (Companion Volume) Manuel Gomez-Rodriguez
2017	A*	`conf`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A*	`conf`	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2017	A	`conf`	Fairness Constraints: Mechanisms for Fair Classification. AISTATS Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2017	—	`conf`	From Parity to Preference-based Notions of Fairness in Classification. NIPS Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	From Parity to Preference-based Notions of Fairness in Classification. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	Harnessing Natural Experiments to Quantify the Causal Effect of Badges. CoRR Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
2017	J	`jnl`	Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. CoRR Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A*	`conf`	Modeling the Dynamics of Learning Activity on the Web. WWW Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
2017	J	`jnl`	Optimizing Human Learning. CoRR Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A	`conf`	Reconciling Privacy and Utility in Continuous-Time Diffusion Networks. CSF Michael Backes, Manuel Gomez-Rodriguez, Praveen Manoharan, Bartlomiej Surma
2017	A	`conf`	RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. WSDM Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2017	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2017	J	`jnl`	Steering Social Activity: A Stochastic Optimal Control Point Of View. J. Mach. Learn. Res. Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2017	A	`conf`	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
2017	A	`conf`	Uncovering the Spatiotemporal Patterns of Collective Social Activity. SDM Martin Jankowiak, Manuel Gomez-Rodriguez
2017	J	`jnl`	Uncovering the Spatiotemporal Patterns of Collective Social Activity. CoRR Martin Jankowiak, Manuel Gomez-Rodriguez
2016	J	`jnl`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2016	J	`jnl`	Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm. J. Mach. Learn. Res. Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand, Bernhard Schölkopf
2016	J	`jnl`	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2016	J	`jnl`	Influence Estimation and Maximization in Continuous-Time Diffusion Networks. ACM Trans. Inf. Syst. Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf
2016	—	`conf`	Learning and Forecasting Opinion Dynamics in Social Networks. NIPS Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2016	J	`jnl`	Modeling the Dynamics of Online Learning Activity. CoRR Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
2016	A	`conf`	On the Efficiency of the Information Networks in Social Media. WSDM Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
2016	J	`jnl`	On the Efficiency of the Information Networks in Social Media. CoRR Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
2016	A*	`conf`	Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. KDD Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song
2016	J	`jnl`	RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. CoRR Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2016	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2016	A*	`conf`	Smart Broadcasting: Do You Want to be Seen? KDD Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
2016	J	`jnl`	Smart broadcasting: Do you want to be seen? CoRR Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
2016	J	`jnl`	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
2015	A	`conf`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song
2015	J	`jnl`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. CoRR Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du, Mohammad Zamani, Hongyuan Zha, Le Song
2015	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	—	`conf`	Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2015	—	`conf`	Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods. WWW (Companion Volume) Manuel Gomez-Rodriguez, Le Song
2015	A*	`conf`	Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods. KDD Manuel Gomez-Rodriguez, Le Song
2015	J	`jnl`	Fairness Constraints: A Mechanism for Fair Classification. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2015	A*	`conf`	Modeling Adoption and Usage of Competing Products. ICDM Isabel Valera, Manuel Gomez-Rodriguez
2015	J	`jnl`	Modeling Opinion Dynamics in Diffusion Networks. CoRR Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2015	A	`conf`	On the Users' Efficiency in the Twitter Information Network. ICWSM Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez
2014	A	`conf`	1st workshop on diffusion networks and cascade analytics. WSDM Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez
2014	A*	`conf`	Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. ICML Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
2014	J	`jnl`	Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. CoRR Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
2014	J	`jnl`	Modeling Diffusion of Competing Products and Conventions in Social Media. CoRR Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2014	A*	`conf`	Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem. COLT Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
2014	A	`conf`	Quantifying Information Overload in Social Media and Its Impact on Social Contagions. ICWSM Manuel Gomez-Rodriguez, Krishna P. Gummadi, Bernhard Schölkopf
2014	J	`jnl`	Quantifying Information Overload in Social Media and its Impact on Social Contagions. CoRR Manuel Gomez-Rodriguez, Krishna P. Gummadi, Bernhard Schölkopf
2014	—	`conf`	Shaping Social Activity by Incentivizing Users. NIPS Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	J	`jnl`	Shaping Social Activity by Incentivizing Users. CoRR Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	J	`jnl`	Uncovering the structure and temporal dynamics of information propagation. Netw. Sci. Manuel Gomez-Rodriguez, Jure Leskovec, David Balduzzi, Bernhard Schölkopf
2014	J	`jnl`	Visualizing information networks: the 2011 Fukushima earthquake. AI Matters Manuel Gomez-Rodriguez, Jure Leskovec
2013	J	`jnl`	Modeling Information Propagation with Survival Theory CoRR Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
2013	—	`conf`	Modeling Information Propagation with Survival Theory. ICML (3) Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
2013	—	`conf`	Scalable Influence Estimation in Continuous-Time Diffusion Networks. NIPS Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
2013	J	`jnl`	Scalable Influence Estimation in Continuous-Time Diffusion Networks. CoRR Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
2013	A	`conf`	Structure and dynamics of information pathways in online media. WSDM Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
2012	A	`conf`	Bridging offline and online social graph dynamics. CIKM Manuel Gomez-Rodriguez, Monica Rogati
2012	J	`jnl`	Inferring Networks of Diffusion and Influence. ACM Trans. Knowl. Discov. Data Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause
2012	J	`jnl`	Influence Maximization in Continuous Time Diffusion Networks CoRR Manuel Gomez-Rodriguez, Bernhard Schölkopf
2012	A*	`conf`	Influence Maximization in Continuous Time Diffusion Networks. ICML Manuel Gomez-Rodriguez, Bernhard Schölkopf
2012	J	`jnl`	Structure and Dynamics of Information Pathways in Online Media CoRR Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
2012	J	`jnl`	Submodular Inference of Diffusion Networks from Multiple Trees CoRR Manuel Gomez-Rodriguez, Bernhard Schölkopf
2012	A*	`conf`	Submodular Inference of Diffusion Networks from Multiple Trees. ICML Manuel Gomez-Rodriguez, Bernhard Schölkopf
2011	J	`jnl`	Uncovering the Temporal Dynamics of Diffusion Networks CoRR Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf
2011	A*	`conf`	Uncovering the Temporal Dynamics of Diffusion Networks. ICML Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf
2010	B	`conf`	Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery. SMC Manuel Gomez-Rodriguez, Jan Peters, N. Jeremy Hill, Bernhard Schölkopf, Alireza Gharabaghi, Moritz Grosse-Wentrup
2010	J	`jnl`	Inferring Networks of Diffusion and Influence CoRR Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause
2010	A*	`conf`	Inferring networks of diffusion and influence. KDD Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause