News

Our paper "Human-Alignment Influences the Utility of AI-assisted Decision Making" (with N. Corvelo Benz) has been accepted at Nature Scientific Reports! (15.07.25)

We have released a new preprint on "Canonical Autoregressive Generation" (with N. Chatzi, N. Corvelo Benz and S. Tsirtsis)! (10.06.25)

We have released a new preprint on "Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives" (with A. Artola Velasco, S. Tsirtsis and N. Okati)! (29.05.25)

Our perspective "Artificial intelligence for modelling infectious disease epidemics" (with M. U. G. Kraemer, J. L.-H. Tsui, S. Y. Chang, S. Lytras, M. P. Khurana, S. Vanderslott, S. Bajaj, N. Scheidwasser, J. L. Curran-Sebastian, E. Semenova, M. Zhang, H. J. T. Unwin, O. J. Watson, C. Mills, A. Dasgupta, L. Ferretti, S. V. Scarpino, E. Koua, O. Morgan, H. Tegally, U. Paquet, L. Moutsianas, C. Fraser, N. M. Ferguson, E. J. Topol, D. A. Duchêne, T. Stadler, P. Kingori, M. J. Parker, F. Dominici, N. Shadbolt, M. A. Suchard, O. Ratmann, S. Flaxman, E. C. Holmes, B. Schoelkopf, C. A. Donnelly, O. G. Pybus, S. Cauchemez and S. Bhatt) has been published at Nature Magazine! (19.02.25)

We have released a new preprint on "Evaluation of Large Language Models via Coupled Token Generation" (with N. Corvelo Benz, S. Tsirtsis, E. Straitouri, I. Chatzi, A. Artola Velasco and S. Thejaswi)! (05.02.25)

Our papers "Counterfactual Token Generation in Large Language Models" (with I. Chatzi, N. Corvelo Benz, E. Straitouri and S. Tsirtsis) and "Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes" (with S. Lee, N. Corvelo Benz and S. Thejaswi) have been accepted at CLeaR 2025! (28.01.25)

We have released a new preprint on "Human-Alignment Influences the Utility of AI-assisted Decision Making" (with N. Corvelo Benz)! (27.01.25)

I have received an ERC Consolidator Grant on Counterfactuals in Minds and Machines and I am looking for phd students and postdocs! Drop me an e-mail for informal inquiries! (03.12.24)

Eleni Straitouri, a PhD student in the group, received a Google PhD Fellowship in Machine Intelligence! (14.11.24)

Our paper "Counterfactual Token Generation in Large Language Models" (with I. Chatzi, N. Corvelo Benz, E. Straitouri and S. Tsirtsis) has been accepted at the NeurIPS workshop on Causality and Large Language Models! (10.10.24)

Our papers "Prediction-Powered Ranking of Large Language Models" (with I. Chatzi, E. Straitouri and S. Thejaswi), "Towards Human-AI Complementarity with Predictions Sets" (with G. De Toni, N. Okati, S. Thejaswi and E. Straitouri) and "Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets" (with E. Straitouri and S. Thejaswi) have been accepted at NeurIPS 2024! (26.09.23)

We have released new preprints on "Towards Human-AI Complementarity with Predictions Sets" (with G. De Toni, N. Okati, S. Thejaswi and E. Straitouri), "Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets" (with E. Straitouri and S. Thejaswi) and "Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes" (with S. Lee, N. Corvelo Benz and S. Thejaswi)! (23.07.2024)

Our paper "Designing Decision Support Systems using Counterfactual Prediction Sets" (with E. Straitouri) has been accepted at ICML 2024! (02.05.24)

Our paper "Towards a computational model of responsibility judgments in sequential human-AI collaboration" (with S. Tsirtsis and T. Gerstenberg) has been accepted at CogSci 2024! (06.04.2024)

We have released a new preprint on "Prediction-Powered Ranking of Large Language Models" (with I. Chatzi, E. Straitouri and S. Thejaswi)! (29.02.24)

Our paper "Optimal Decision Making Under Strategic Behavior" (with S. Tsirtsis, B. Tabibian, M. Khajehnejad, B. Schoelkopf and A. Singla) has been published at Management Science! (27.02.24)

Our papers "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces" (with S. Tsirtsis) and "Human-Aligned Calibration for AI-Assisted Decision Making" (with N. Corvelo Benz) have been accepted at NeurIPS 2023! (22.09.23)

Our paper "Optimal Decision Making Under Strategic Behavior" (with S. Tsirtsis, B. Tabibian, M. Khajehnejad, B. Schoelkopf and A. Singla) has been accepted at Management Science! (05.09.23)

Our paper "Designing Decision Support Systems using Counterfactual Prediction Sets" (with E. Straitouri) got a Best Paper Award at the ICML Workshop on AI and HCI! (31.07.23)

We have released new preprints on "Human-Aligned Calibration for AI-Assisted Decision Making" (with N. Corvelo Benz), "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces" (with S. Tsirtsis) and "Designing Decision Support Systems using Counterfactual Prediction Sets" (with E. Straitouri)! (11.06.23)

Our papers "Improving Expert Predictions with Conformal Prediction" (with L. Straitouri, L. Wang and N. Okati) and "On the Within-Group Discrimination of Screening Classifiers" (with N. Okati and S. Tsirtsis) have been accepted at ICML 2023! (25.04.23)

Consider submitting to the ICML workshop on Counterfactuals in Minds and Machines I am co-organizing! Deadline is May 26! (14.04.23)

I have created a presentation on "Improving Decision Support with Machine Learning, Provably". It summarizes one of my recent lines of work where I see tons of opportunities for future work! (16.02.23)

We have released a new preprint on "On the Within-Group Discrimination of Screening Classifiers" (with N. Okati and S. Tsirtsis)! (02.02.23)

Our paper "Counterfactual Temporal Point Processes" (with K. Noorbakhsh) has been accepted at NeurIPS 2022! (14.09.22)

Our paper "Counterfactual Inference of Second Opinions" (with N. Corvelo Benz) has been accepted at UAI 2022! (16.05.22)

Our paper "Improving Screening Processes via Calibrated Subset Selection" (with L. Wang and T. Joachims) has been accepted at ICML 2022! (15.05.22)

Our paper "Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots" (with L. Lorch, H. Kremer, W. Trouleau, S. Tsirtsis, A. Szanto and B. Schoelkopf) has been accepted at ACM Transactions on Spatial Algorithms and Systems (TSAS)! (05.04.22)

Our paper "Listening to Bluetooth Beacons for Epidemic Risk Mitigation" (with G. Barthe, R. De Viti, P. Druschel, D. Garg, P. Ingo, H. Kremer, M. Lentz, L. Lorch, A. Mehta and B. Schoelkopf) has been accepted at Nature Scientific Reports! (22.03.22)

We have released a new preprint on "Counterfactual Inference of Second Opinions" (with N. Corvelo Benz)! (17.03.22)

Our paper "Pooled Testing of Traced Contacts Under Superspreading Dynamics" (with S. Tsirtsis, A. De and L. Lorch) has been accepted at PLOS Computational Biology! (10.03.22)

We have released new preprints on "Provably Improving Expert Predictions with Conformal Prediction" (with E. Straitouri, L. Wang, N. Okati) and "Improving Screening Processes via Calibrated Subset Selection" (with L. Wang and T. Joachims)! (03.02.22)

We have released a new preprint on "Counterfactual Temporal Point Processes" (with K. Noorbakhsh)! (16.11.21)

Our papers "Counterfactual Explanations in Sequential Decision Making under Uncertainty" (with S. Tsirtsis and A. De) and "Differentiable Learning under Triage" (with N. Okati and A. De) have been accepted at NeurIPS 2021! (29.09.21)

We have released a new preprint on "Reinforcement Learning under Algorithmic Triage" (with E. Straitouri, A. Singla and V. Balazadeh)! (24.09.21)

Our paper "Large-scale randomized experiment reveals machine learning-based instruction helps people memorize more effectively" (with U. Upadhyay, G. Lancashire and C. Moser) has been accepted at npj Science of Learning! (19.08.21)

We have released a new preprint on "Counterfactual Explanations in Sequential Decision Making Under Uncertainty" (with S. Tsirtsis and A. De)! (06.07.21)

We have released a new preprint on "Group Testing under Superspreading Dynamics" (with S. Tsirtsis and A. De)! (30.06.21)

We have released a new preprint on "Differentiable learning under triage" (with N. Okati and A. De)! (18.03.21)

Our paper "Classification Under Human Assistance" (with A. De, N. Okati and A. Zarezade) has been accepted at AAAI 2021! (02.12.20)

Our paper "Decisions, Counterfactual Explanations and Strategic Behavior" (with S. Tsirtsis) has been accepted at NeurIPS 2020! (26.09.20)

I have received an ERC Starting Grant on Human-Centric Machine Learning and I am looking for interns, phd students and postdocs! Drop me an e-mail for informal inquiries! (08.09.20)

Our paper "On the design of consequential ranking algorithms" (with B. Tabibian, V. Gomez, A. De and B. Schoelkopf), has been accepted at UAI 2020! (15.05.20)

I am happy to share a talk/lecture on our COVID-19 work on a spatiotemporal epidemic model to quantify the effects of testing, contact tracing and containment here. Consider also join us at https://github.com/covid19-model/simulator! (12.05.20)

Our paper "NEVAE: A Deep Generative Model for Molecular Graphs" (with B. Samanta, A. De, G. Jana, V. Gomez, P. K. Chattaraj and N. Ganguly) has been accepted for publications at the Journal of Machine Learning Research! (22.04.20)

We have released "A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment" (with L. Lorch, W. Trouleau, S. Tsirtsis, A. Szanto and B. Schoelkopf) in Arxiv today, which may be useful to inform policy decisions in the context of the Covid-19 outbreak. We have also released easy-to-use code for the model here! (17.04.20)

Our paper Tracking progress towards malaria elimination in China: individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach (with I. Routledge, S. Lai, K. E. Battle, A. C. Ghani, K. B. Gustafson, S. Mishra, J. L. Proctor, A. J. Tatem, Z. Li, S. Bhatt) has been published at PLOS Computational Biology! (24.03.20)

Preprints on "Decisions, Counterfactual Explanations and Strategic Behavior" (with S. Tsirtsis) and "Learning to Switch between Machines and Humans" (with V. Balazadeh, A. De and A. Singla)! (12.2.20)

I have created a long lecture on "Human-Centric Machine Learning: Feedback loops, Human-AI collaboration and strategic behavior". It summarizes some of my recent work and exposes tons of opportunities for future work! (27.1.20)

Our paper "Fair Decisions Despite Imperfect Predictions" (with N. Kilbertus, B. Schoelkopf, K. Muandet and I. Valera) has been accepted at AISTATS 2020! (7.1.20)

Our paper "Regression Under Human Assistance" (with A. De, P. Koley and N. Ganguly) has been accepted at AAAI 2020! (11.11.19)

Our paper "Can a User Guess What Her Followers Want?" (with A. De, A. Singla and U. Upadhyay) has been accepted at WSDM 2020! (10.10.19)

Preprints on Regression Under Human Assistance (with A. De, P. Koley and N. Ganguly) and Can A User Guess What Her Followers Want? (with A. De, A. Singla and U. Upadhyay)! (09.09.19)

Consider submitting to the NeurIPS workshops on temporal point processes and human-centric ML I am co-organizing! Deadline is Sept 15! (04.09.19)

Our paper "Teaching Multiple Concepts to Forgetful Learners" (with A. Hunziker, Y. Chen, O. M. Aodha, A. Krause, P. Perona, Y. Yue and A. Singla) has been accepted at NeurIPS 2019! (03.09.19)

Preprints on Optimal Decision Making Under Strategic Behavior (with M. Khajehnejad, B. Tabibian, B. Schoelkopf and A. Singla), Consequential Ranking Algorithms and Long-term Welfare (with B. Tabibian, V. Gomez, A. De and B. Schoelkopf), Non-submodular Function Maximization subject to a Matroid Constraint, with Applications (with K. Gatmiry) and Tracking progress towards malaria elimination in China: estimates of reproduction numbers and their spatiotemporal variation (with I. Routledge, S. Lai, K. E. Battle, A. C. Ghani, K. B. Gustafson, S. Mishra, J. L. Proctor, A. J. Tatem, Z. Li and S. Bhatt)! (23.05.19)

Preprint on Improving Consequential Decision Making under Imperfect Predictions (with K. Kilbertus, B. Schoelkopf, K. Muandet and I. Valera)! (11.02.19)

Our paper "Enhancing human learning via spaced repetition optimization" (with B. Tabibian, U. Upadhyay, A. De, A. Zarezade and B. Schoelkopf) has been published at PNAS! You can find the code and data we used in the paper here! (22.01.19)

We have created these lecture notes (in progress) on marked temporal point processes as part of a course on Human-Centered Machine Learning! (11.01.19)

Preprint on "On the Network Visibility Problem" (with K. Gatmiry)! (20.11.18)

Our paper "Stochastic Optimal Control of Epidemic Processes in Networks" (with L. Lorch, A. De, S. Bhatt, W. Trouleau and U. Upadhyay) has been accepted at the ML4H NIPS 2018 Workshop! (15.11.18)

Our paper "Designing Deep Generative Models for Molecular Graphs" (with B. Samanta, A. De, G. Jana, P. K. Chattaraj and N. Ganguly) has been accepted at AAAI 2019! (31.10.18)

Our paper "On the Complexity of Opinions and Online Discussions" (with U. Upadhyay, A. De and A. Pappu) has been accepted at WSDM 2019! (22.10.18)

Our paper "Fairness Constraints: A Flexible Approach for Fair Classification" (with B. Zafar, I. Valera and K. Gummadi) has been accepted at the Journal of Machine Learning Research (JMLR)! (06.09.18)

Our paper "Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting" (with with I. Routledge, J. E. Romero Chevez, Z. Cucunuba, C. Guinovart, K. Schneider, P. Walker, K. Gustafson, A. Ghani and S. Bhatt) has been published at Nature Communications! In this paper, we use Multitree, one of my first network inference algorithms, in an epidemiological application! (26.06.18)

Together with Isabel Valera, I will teach a tutorial on Learning with Temporal Point Processes at ICML 2018! (30.03.18)

Preprint on "On the Complexity of Opinions and Online Discussions" (with U. Upadhyay, A. De and A. Pappu)! (21.02.18)

Our paper "Steering Social Activity: A Stochastic Optimal Control Point of View" (with A. Zarezade, A. De, U. Upadhyay and H. Rabiee) has been accepted at the Journal of Machine Learning Research (JMLR)! (20.02.18)

Preprint on "Designing Random Graph Models Using Variational Autoencoders with Applications to Chemical Design" (with B. Samanta, A. De and N. Ganguly)! (19.02.18)

Our paper "Fake News Detection in Social Networks via Crowd Signals" (with S. Tschiatschek, A. Singla. A. Merchant and A. Krause) has been accepted at the Alternate Track on Journalism, Misinformation, and Fact-checking of The Web Conference 2018 (aka WWW 2018)! (15.02.18)

Our paper "On the Causal Effect of Badges" (with T. Kusmierczyk) has been accepted at The Web Conference 2018 (aka WWW 2018)! (22.12.17)

Preprint on "Optimizing Human Learning" (with B. Tabibian, U. Upadhyay, A. De, A. Zarezade and Bernhard Schoelkopf)! (06.12.17)

Check out the paper, code and supporting website for our WSDM 2018 paper "Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation" (with J. Kim, B. Tabibian, A. Oh and B. Schoelkopf)! (24.11.17)

I will teach a GIAN seminar on Social and Information Networks Analysis: Problems, Models and Machine Learning Methods on Dec 11-14 at IIT Hyderabad. This will be an updated version of the short course I recently taught at Carlos III University and University of Sydney (07.11.17)

Our paper "Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation" (with J. Kim, B. Tabibian, A. Oh and B. Schoelkopf) has been accepted at WSDM 2018! Soon preprint and code! (24.10.17)

Our paper "From Parity to Preference-based Notions of Fairness in Classification" (with B. Zafar, I. Valera, K. Gummadi and A. Weller) has been accepted at NIPS 2017! (04.09.17)

Preprint on "Harnessing Natural Experiments to Quantify the Causal Effect of Badges" (with T. Kusmierczyk)! (05.08.17)

I will teach an updated version of the short course on Machine Learning Methods for Dynamic Social Network Analysis, with a focus on temporal on temporal point processes, at Carlos III University in Madrid! Check out the slides! (09.05.17)

Our paper "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment" (with B. Zafar, I. Valera and K. Gummadi) got a Best Paper Award Honorable Mention at WWW 2017! (09.04.17)

I recently gave a short course on Machine Learning Methods for Dynamic Social Network Analysis, with a focus on temporal point processes, at the University of Sydney. Check the slides out! (31.01.17)

Our paper "Fairness Constraints: Mechanisms for Fair Classification" (with B. Zafar, I. Valera and K. Gummadi) has been accepted at AISTATS 2017! (25.01.17)

Our paper "Uncovering the Spatiotemporal Patterns of Collective Social Activity" (with M. Jankowiak) has been accepted at SDM 2017! (21.12.16)

Our papers "Uncovering the Dynamics of Crowdlearning and the Value of Knowledge" (with U. Upadhyay and I. Valera) and "RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks" (with A. Zarezade, U. Upadhyay and H. Rabiee) have been accepted at WSDM 2017! (18.10.16)

Our paper "Learning and Forecasting Opinion Dynamics in Social Networks" (with A. De, I. Valera, N. Ganguly and S. Bhattacharya) has been accepted at NIPS 2016! Check out the arxiv version! (12.08.16)

Our papers "Smart broadcasting: Do you want to be seen?" (with M. Karimi, E. Tavakoli, M. Farajtabar and L. Song) and "Recurrent Marked Temporal Point Process: Embedding Event History to Vector" (with N. Du, H. Dai, R. Trivedi, U. Upadhyay and L. Song) have been accepted at KDD 2016! (11.05.16)

We have release a easy-to-use implementation of fair classifiers. Check it out here! (21.04.16)

Our paper "On the Efficiency of the Information Networks in Social Media" (with M. Babaei, P. Grabowicz, I. Valera and K. Gummadi) has been accepted at WSDM 2016! (13.10.15)

If you are a TU KL student, check out our seminar "Social and information networks: Models and Machine Learning methods". Starts October 28! (29.09.15)

Our paper "COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution" (with M. Farajtabar, Y. Wang, S. Li, H. Zha and L. Song) has been accepted at NIPS 2015 for full oral presentation (15 out of 1838 submission)! Check out the arXiv version! (04.09.15)

Our paper "Modeling Adoption and Usage of Competing Products" (with I. Valera) has been accepted at ICDM 2015! Check out the arXiv version! (07.08.15)

Check out our KDD 2015 tutorial material on "Diffusion in Social and Information Networks: Problems, Models & Machine Learning Methods"! (30.07.15)

Our tutorial proposal "Diffusion in Social and Information Networks: Research Problems, Probabilistic Models & Machine Learning Methods" (with L. Song) has been accepted at WWW 2015! (01.02.15)

Check out our paper "Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades" (with M. Farajtabar, N. Du, M. Zamani, H. Zha and L. Song), to appear at AISTATS 2015! (26.01.15)

We have released the code for our NIPS 2014 paper "Shaping Social Activity by Incentivizing Users"! (24.12.14)

Our paper "Modeling Adoption of Competing Products and Conventions in Social Media" (with I. Valera and K. Gummadi) has been accepted at the Workshop in Networks: From Graphs to Rich Data at NIPS 2014! (07.11.14)

We have released our NIPS 2014 paper "Shaping Social Activity by Incentivizing Users" (with M. Farajtabar, N. Du, I. Valera, H. Zha and L. Song) (07.11.14)

Our paper "Shaping Social Activity by Incentivizing Users" (with M. Farajtabar, N. Du, I. Valera, H. Zha and L. Song) has been accepted at NIPS 2014! Check out the arXiv version! (09.09.14)

I will be joining the Max Planck Institute for Software Systems (MPI-SWS) as a tenure-track faculty (W2), starting November 2014! If you would like to work on networks and machine learning, join me as an intern, phd student or postdoc! (03.07.14)

Check out our COLT 2014 open problem Finding Good Cascade Sampling Processes for the Network Inference Problem (with L. Song and B. Schoelkopf)! (18.05.14)

We have released our ICML 2014 paper Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm (with H. Daneshmand, L. Song and B. Schoelkopf)! (12.05.14)

Our paper "Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm" (with H. Daneshmand, L. Song and B. Schoelkopf) has been accepted at ICML 2014! (12.04.14)

Our Network Science paper Uncovering the structure and temporal dynamics of information propagation (with J. Leskovec, D. Balduzzi and B. Schoelkopf) just got published! (04.04.14)

We have released our ICWSM 2014 paper "Quantifying Information Overload in Social Media and its Impact on Social Contagions" (with K. Gummadi and B. Schoelkopf). Check it out! (25.03.14)

Our conference paper "Quantifying Information Overload in Social Media and its Impact on Social Contagions" (with K. Gummadi and B. Schoelkopf) has been accepted at ICWSM 2014. It will be online soon! (11.03.14)

Our journal paper Uncovering the Structure and Temporal Dynamics of Information Propagation" (with J. Leskovec, D. Balduzzi and B. Schoelkopf) has been accepted at Network Science (NWS). It will be online soon! (10.01.14)

We have released the website and code for our NIPS 2013 paper "Scalable Influence Estimation in Continuous-Time Diffusion Networks"! (22.12.13)

Our paper "Scalable Influence Estimation in Continuous-Time Diffusion Networks" (with N. Du, L. Song and H. Zha) got a outstanding paper award at NIPS 2013! (05.12.13)

We have released our NIPS 2013 paper "Scalable Influence Estimation in Continuous-Time Diffusion Networks" (with N. Du, L. Song and H. Zha). Soon we will also release some code! (13.11.13)

Check out the website and the Call for Papers (CFP) for the WSDM 2014 workshop "Diffusion Networks and Cascade Analytics", which I am co-organizing! (14.10.13)

Our paper "Scalable Influence Estimation in Continuous-Time Diffusion Networks" (with N. Du, L. Song and H. Zha) has been accepted at NIPS 2013 for full oral presentation (20 out of 1420 submission)! Soon preprint and code! (05.09.13)

Our extended abstract "Quantifying the Impact of Information Overload on Information Dissemination in Social Media" (with K. Gummadi and B. Schoelkopf) has been accepted at WIN 2013 for a spotlight presentation and a poster! (01.09.13)

I am co-organizing the workshop "Diffusion Networks and Cascade Analytics" with Peng Cui, Fei Wang and Hanghang Tong at WSDM 2014! We will soon have a website and release a call for papers (CFP)! (01.09.13)

We just started building a new dataset of blogs and news sites at MPI for Intelligent Systems thanks to Spinn3r! (26.07.13)

I will teach a practical on network modeling and information propagation at the Machine Learning Summer School (MLSS) in Tuebingen on 26.08-06.09! (25.06.13)

My Ph.D. thesis "Structure and Dynamics of Diffusion Networks" has been approved. If you would like to have a review of my work the last three years, you can find it here! (31.5.13)

We have released our ICML 2013 paper "Modeling Information Propagation with Survival Theory" (with J. Leskovec and B. Schoelkopf)! (14.5.13)

Our paper "Modeling Information Propagation with Survival Theory" (with J. Leskovec and B. Schoelkopf) has been accepted at ICML 2013! Soon preprint! (16.04.13)

I will visit Krishna Gummadi at Max Planck Institute for Software Systems in Saarbrucken (Germany) April 15-19! (25.3.13)

I will give a talk on InfoPath at Google HQ in Mountainview, California on 18.1.13! (6.1.13)

I am a Research Scientist at MPI for Intelligent Systems in Bernhard Schoelkopf's research group! (6.1.13)

I will give a talk on InfoPath at Facebook HQ in Menlo Park, California next thursday 13.12.12, at 11.00am! (8.12.12)

We have released the paper, website, and data for our WSDM 2013 paper "Structure and Dynamics of Information Pathways in On-line Media"! (04.12.12)

I passed my Ph.D. Oral Defense in Electrical Engineering at Stanford University! (04.12.12)

Our paper "Structure and Dynamics of Information Pathways in On-line Media" (with J. Leskovec and B. Schoelkopf) has been accepted at WSDM 2013! Soon preprint, website and code! (26.10.12)

Our paper "Modeling Information Propagation with Survival Theory" (with B. Schoelkopf) has been accepted for oral presentation at the Workshop in Algorithmic and Statistical Approaches for Large Social Networks at NIPS 2012! (16.10.12)

I will do my oral examination to earn a Ph.D. in Electrical Engineering from Stanford University on Dec 3, 2012 at 7.30am in Packard 204! (15.10.12)

"Bridging Offline and Online Social Graph Dynamics" (with M. Rogati) has been accepted as a poster at CIKM 2012, we have also a long version! (30.7.12)

I am organizing a workwhop in "Networks: Processes and Causality" in Menorca (Spain), 3-6 Sept. Applications are open until July 15th! (11.6.12)

We have released the paper and website for our ICML 2012 paper "Influence Maximization in Continuous Time Diffusion Networks"! (8.5.12)

We have released the paper and website for our ICML 2012 paper "Submodular Inference of Diffusion Networks from Multiple Trees"! (8.5.12)

I will be visiting Jure Leskovec's lab and working with him during 3 weeks in June! (4.5.12)

"Influence Maximization in Continuous Time Diffusion Networks" and "Submodular Inference of Diffusion Networks from Multiple Trees" (with B. Schoelkopf) have been accepted at ICML 2012! Soon preprints, websites and code! (30.4.12)

I will give a talk on network inference and influence maximization in diffusion networks at IBM Research (Jan 30th) and Google Research (Jan 31st) in New York City! (17.1.12)

Our journal paper "Inferring Networks of Diffusion and Influence" (with J. Leskovec and A. Krause) has been accepted at ACM Transactions on Knowledge Discovery from Data (TKDD). It will be online soon! (24.11.11)

I will be attending NIPS 2011 in December, in beautiful Granada! (01.11.11)

I will give a talk on diffusion networks on Oct 28th at the Math Dept and the TSC Dept of UC3M in Madrid! (05.10.11)

I have been featured in the newspaper Faro de Vigo! (31.08.11)

The video of our ICML 2011 presentation on NETRATE is now online at techtalks! (27.07.11)

Our work on "Uncovering the Temporal Dynamics of Diffusion" is featured in the blog Tous Passagers! (24.05.11)

I have received a student scholarship to attend ICML 2011! (24.05.11)

"Uncovering the Temporal Dynamics of Diffusion" (with D. Balduzzi and B. Schoelkopf) has been accepted at ICML 2011! Check out the paper and the supporting website! (20.04.11)

"Closing the Sensorimotor Loop: Haptic Feedback Helps Decoding of Motor Imagery" (with J. Peters, J. Hill, B. Schoelkopf, A. Gharabaghi and M. Grosse-Wentrup) is now published in the Journal of Neural Engineering! (08.04.11)

I will be an intern at LinkedIn working in the Data Analytics group in Mountainview this incoming Summer 2011! (25.02.11)