TB Hackathon: Development and Comparison of Five Models to Predict Subnational Tuberculosis Prevalence in Pakistan S. Alba, E. Rood, F. Mecatti, J. M. Ross, P. J. Dodd, S. Chang, M. Potgieter, G. Bertarelli, N. J. Henry, K. E. LeGrand, W. Trouleau, D. Shaweno, P. MacPherson, Z. Z. Qin, C. Mergenthaler, F. Giardina, E. Augustijn, A. Q. Baloch and A. Latif Tropical Medicine And Infectious Disease, 2022.
On the robustness of the metric dimension of grid graphs to adding a single edge S. Mashkaria, G. Odor and P. Thiran Discrete Applied Mathematics, 2022-07-31.
The power of adaptivity in source identification with time queries on the path V. Lecomte, G. Odor and P. Thiran Theoretical Computer Science, 2022-04-08.
Sequential metric dimension for random graphs G. Odor and P. Thiran Journal of Applied Probability, 2021.
Switchover phenomenon induced by epidemic seeding on geometric networks G. Odor, D. Czifra, J. Komjáthy, L. Lovász and M. Karsai Proceedings of the National Academy of Sciences, 2021.
Disparity Between Batches as a Signal for Early Stopping M. Forouzesh and P. Thiran European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Basque Country, Spain, September 13-17, 2021.
Generalization Comparison of Deep Neural Networks via Output Sensitivity M. Forouzesh, F. Salehi and P. Thiran 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021.
War of Words II: Enriched Models of Law-Making Processes V. Kristof, A. Suresh, M. Grossglauser and P. Thiran The Web Conference 2021 (WWW '21), Ljubljana, Slovenia, April 19-23, 2021.
A Variational Inference Approach to Learning Multivariate Wold Processes J. Etesami, W. Trouleau, N. Kiyavash, M. Grossglauser and P. Thiran 24th International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, California, USA, April 13-15, 2021.
Metric dimension of critical Galton–Watson trees and linear preferential attachment trees J. Komjáthy and G. Odor European Journal of Combinatorics, 2021.
Augmenting and Tuning Knowledge Graph Embeddings R. Bamler, F. Salehi and S. Mandt 35th Uncertainty in Artificial Intelligence (UAI) Conference, Tel Aviv, ISRAEL, Jul 22-25, 2019.
A meta-learning approach for genomic survival analysis Y. L. Qiu, H. Zheng, A. Devos, H. Selby and O. Gevaert Nature Communications, 2020.
MPGM: Scalable and Accurate Multiple Network Alignment E. Kazemi and M. Grossglauser Ieee-Acm Transactions On Computational Biology And Bioinformatics, 2020.
Scalable and Efficient Comparison-based Search without Features D. Chumbalov, L. Maystre and M. Grossglauser 37th International Conference on Machine Learning (ICML 2020), Online, July 13-18, 2020.
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification C. Medina, A. Devos and M. Grossglauser 7th ICML Workshop on Automated Machine Learning (AutoML 2020), Vienna, Austria, Jul 12, 2020 – Jul 18, 2020.
Sub-Matrix Factorization for Real-Time Vote Prediction A. Immer, V. Kristof, M. Grossglauser and P. Thiran The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining - KDD ’20, Virtual Event, August 23–27, 2020.
War of Words: The Competitive Dynamics of Legislative Processes V. Kristof, M. Grossglauser and P. Thiran The Web Conference - WWW ’20, Taipei, Taiwan, April 20-24, 2020.
A User Study of Perceived Carbon Footprint V. Kristof, V. Quelquejay-Leclère, R. Zbinden, L. Maystre, M. Grossglauser and P. Thiran Climate Change Workshop at NeurIPS, Vancouver, BC, Canada, December 8-14, 2019.
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rényi Graphs O. E. Dai, D. Cullina, N. Kiyavash and M. Grossglauser Joint International Conference on Measurement and Modeling of Computer Systems - SIGMETRICS '19, Phoenix, AZ, USA, June, 2019.
Learning Hawkes Processes from a Handful of Events F. Salehi, W. Trouleau, M. Grossglauser and P. Thiran 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 8-14, 2019.
Learning Hawkes Processes Under Synchronization Noise W. Trouleau, J. Etesami, M. Grossglauser, N. Kiyavash and P. Thiran 36th International Conference on Machine Learning, Long Beach, California, USA, June 9-15, 2019.
Pairwise Comparisons with Flexible Time-Dynamics L. Maystre, V. Kristof and M. Grossglauser 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK, August 04-08, 2019.
Controlling Polarization in Personalization: An Algorithmic Framework L. E. Celis, S. Kapoor, F. Salehi and N. Vishnoi ACM Conference on Fairness, Accountability, and Transparency (FAT), Atlanta, GA, Jan 29-31, 2019.
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis, L. Huang, V. Keswani and N. K. Vishnoi ACM Conference on Fairness, Accountability, and Transparency (FAT), Atlanta, GA, Jan 29-31, 2019.
A dashboard for controlling polarization in personalization L. E. Celis, S. Kapoor, F. Salehi, V. Keswani and N. K. Vishnoi Ai Communications, 2019.
[Re] Meta learning with differentiable closed-form solvers A. Devos, S. Chatel and M. Grossglauser The ReScience journal C, 2019.
A General Framework for Sensor Placement in Source Localization B. Spinelli, E. Celis and P. Thiran IEEE Transactions on Network Science and Engineering, 2019.
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient A. Mishkin, F. Kunstner, D. Nielsen, M. Schmidt and M. E. Khan 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.
Coordinate Descent with Bandit Sampling F. Salehi, P. Thiran and L. E. Celis 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.
Stochastic Optimal Control of Epidemic Processes in Networks L. Lorch, A. De, S. Bhatt, W. Trouleau, U. Upadhyay and M. Gomez-Rodriguez Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, Palais des Congrès de Montréal, Montréal, Canada, December 8, 2018.
Optimal Number of Paths with Multipath Routing in Hybrid Networks S. Henri and P. Thiran 19th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Chania, GREECE, Jun 12-15, 2018.
Profit Maximizing Logistic Regression Modeling for Credit Scoring A. Devos, J. Dhondt, E. Stripling, B. Baesens, S. vanden Broucke and G. Sukhatme IEEE Data Science Workshop (DSW), Lausanne, Switzerland, 2018.
On the Combinatorial Version of the Slepian-Wolf Problem D. Chumbalov and A. Romashchenko IEEE TRANSACTIONS ON INFORMATION THEORY, 2018.
Load Balancing Video Clients in Enterprise Wireless Networks A. Suresh, S. Mena, D. Tomozei, L. Granai, X. Zhu and S. Ferrari IEEE Wireless Communications and Networking Conference (WCNC), Apr 15-18, 2018, Apr 15-18, 2018.
Multi-Armed Bandit in Action: Optimizing Performance in Dynamic Hybrid Networks S. Henri, C. Vlachou and P. Thiran IEEE/ACM Transactions on Networking, 2018-07-27.
Can Who-Edits-What Predict Edit Survival? A. B. Yardım, V. Kristof, L. Maystre and M. Grossglauser 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, August 19-23, 2018.
On the Delays in Time-Varying Networks: Does Larger Service-Rate Variance Imply Larger Delays? S. Henri, S. Shneer and P. Thiran Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Los Angeles, CA, USA, June 26 - 29, 2018.
Multiphase digitally controlled oscillator for future 5G phased arrays in 90 nm CMOS A. Devos, M. Vigilante and P. Reynaert IEEE Nordic Circuits and Systems Conference (NORCAS), Copenhagen, Denmark, 2017.
The effect of transmission variance on observer placement for source-localization B. Spinelli, E. Celis and P. Thiran Applied Network Science, 2017.
ChoiceRank: Identifying Preferences from Node Traffic in Networks L. Maystre and M. Grossglauser International Conference on Machine Learning, Sydney, Australia, August 6-11, 2017.
Just Sort It! A Simple and Effective Approach to Active Preference Learning L. Maystre and M. Grossglauser International Conference on Machine Learning, Sydney, Australia, August 6-11, 2017.
Back to the Source: an Online Approach for Sensor Placement and Source Localization B. Spinelli, L. E. Celis and P. Thiran 26th International World Wide Web Conference (WWW), 2017.
How CSMA/CA With Deferral Affects Performance and Dynamics in Power-Line Communications C. Vlachou, A. Banchs, J. Herzen and P. Thiran Ieee-Acm Transactions On Networking, 2017.
Just One More: Modeling Binge Watching Behavior W. Trouleau, A. Ashkan, W. Ding and B. Eriksson 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California, USA, August 13-17, 2016.
Assignment Techniques for Crowdsourcing Sensitive Tasks L. E. Celis, S. P. Reddy, I. P. Singh and S. Vaya 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), San Francisco, CA, FEB 27-MAR 02, 2016.
Online Collaborative Prediction of Regional Vote Results V. Etter, M. E. Khan, M. Grossglauser and P. Thiran 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Montreal, QC, Canada, 17-19 October 2016.
Uncovering Latent Behaviors in Ant Colonies M. Kafsi, R. Braunschweig, D. Mersch, M. Grossglauser, L. Keller and P. Thiran 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016.
PROPER: global protein interaction network alignment through percolation matching E. Kazemi, H. Hassani, M. Grossglauser and H. P. Modarres BMC Bioinformatics, 2016.
EMPoWER Hybrid Networks: Exploiting Multiple Paths over Wireless and ElectRical Mediums S. Henri, C. Vlachou, J. Herzen and P. Thiran ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT) 2016, Irvine, California, USA, December 12-15, 2016.
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems Y. J. Ko, L. Maystre and M. Grossglauser The 8th Asian Conference on Machine Learning, Hamilton, New Zealand, November 16-18, 2016.
Analysis and Enhancement of CSMA/CA With Deferral in Power-Line Communications C. Vlachou, A. Banchs, P. Salvador, J. Herzen and P. Thiran IEEE Journal on Selected Areas in Communications, 2016.
Assembling a Network out of Ambiguous Patches L. Yartseva, J. S. Elbert and M. Grossglauser Allerton, Allerton Park and Retreat Center, Monticello, IL, USA, 2016.
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions L. Maystre, V. Kristof, A. J. González Ferrer and M. Grossglauser Machine Learning and Data Mining for Sports Analytics 2016, Riva del Garda, Italy, September 19, 2016.
Observer Placement for Source Localization: the Effect of Budgets and Transmission Variance B. Spinelli, L. E. Celis and P. Thiran 54th Annual Allerton Conference on Communication, Control, and Computing, 2016.
Where You Are is Who You Are: User Identification by Matching Statistics F. Movahedi Naini, J. Unnikrishnan, P. Thiran and M. Vetterli IEEE Transactions on Information Forensics and Security, 2016.
Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation M. Kafsi, M. Grossglauser and P. Thiran 2015 IEEE International Conference on Data Mining, Atlantic City, NJ, USA, November 14-17, 2015.
Budgeted sensor placement for source localization on trees L. E. Celis, F. Pavetic, B. Spinelli and P. Thiran Latin-American Algorithms, Graphs and Optimization Symposium, 2015.
Kullback-Leibler Proximal Variational Inference M. E. Khan, P. B. Baqué, F. Fleuret and P. Fua Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, December 9, 2015.
UAVs using Bayesian Optimization to LocateWiFi Devices M. Carpin, S. Rosati, B. Rimoldi and M. E. Khan Bayesopt 2015, Montreal, Canada, December 12, 2015.
Expectation Propagation for Rectified Linear Poisson Regression Y. J. Ko and M. Seeger 7th Asian Conference on Machine Learning (ACML), Hong Kong, November 20-22, 2015.
Hierarchical Routing Over Dynamic Wireless Networks D. Tschopp, S. Diggavi and M. Grossglauser Random Structures & Algorithms, 2015.
Fast and Accurate Inference of Plackett-Luce Models L. Maystre and M. Grossglauser Neural Information Processing Systems (NIPS), Montreal, Quebec, Canada, December 7-12, 2015.
When Can Two Unlabeled Networks Be Aligned Under Partial Overlap? E. Kazemi, L. Yartseva and M. Grossglauser 53rd IEEE Communication, Control, and Computing (Annual Allerton Conference), University of Illinois at Urbana-Champaign, September 30-October 2, 2015.
Electri-Fi Your Data: Measuring and Combining Power-Line Communications with WiFi C. Vlachou, S. Henri and P. Thiran ACM Internet Measurement Conference (IMC) 2015, Tokyo, Japan, October 28-30, 2015.
CSMA/CA in Time and Frequency Domains J. Herzen, A. Banchs, V. Shneer and P. Thiran IEEE ICNP, San Francisco, CA, November 10-13, 2015.
Learning Wi-Fi Performance J. Herzen, H. Lundgren and N. Hegde IEEE SECON, Seattle, WA, June 22-25, 2015.
Growing a Graph Matching from a Handful of Seeds E. Kazemi, S. H. Hassani and M. Grossglauser Proceedings of the VLDB Endowment International Conference on Very Large Data Bases, 2015.
Virtually Moving Base Stations for Energy Efficiency in Wireless Sensor Networks R. Zhang, P. Thiran and M. Vetterli The Sixteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Hangzhou, China, June 22-25, 2015.
The Beauty of the Commons: Optimal Load Sharing by Base Station Hopping in Wireless Sensor Networks R. Zhang, F. Ingelrest, G. Barrenetxea, P. Thiran and M. Vetterli IEEE Journal on Selected Areas in Communications, 2015.
Opportunistic Sampling for Joint Population Size and Density Estimation F. Movahedi Naini, O. Dousse, P. Thiran and M. Vetterli IEEE Transactions on Mobile Computing, 2015.
Variational Gaussian Inference for Bilinear Models of Count Data Y. J. Ko and M. E. Khan 6th Asian Conference on Machine Learning, Nha Trang, Vietnam, 2014.
Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions L. E. Celis, G. Lewis, M. Mobius and H. Nazerzadeh Management Science, 2014.
Data-driven healthcare: from patterns to actions M. Grossglauser and H. Saner European Journal Of Preventive Cardiology, 2014.
Analyzing and Boosting the Performance of Power-Line Communication Networks C. Vlachou, A. Banchs, J. Herzen and P. Thiran ACM 10th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Sydney, Australia, December 2-5, 2014.
On the MAC for Power-Line Communications: Modeling Assumptions and Performance Tradeoffs C. Vlachou, A. Banchs, J. Herzen and P. Thiran IEEE 22nd International Conference on Network Protocols (ICNP), The Research Triangle, North Carolina, 2014.
Mining Democracy V. Etter, J. Herzen, M. Grossglauser and P. Thiran ACM Conference on Online Social Networks (COSN'14), Dublin, Ireland, October 1-2, 2014.
Performance Analysis of MAC for Power-Line Communications C. Vlachou, A. Banchs, J. Herzen and P. Thiran ACM SIGMETRICS 2014 (poster session), Austin, Texas, USA, 16-20 June, 2014.
Privacy-Preserving Function Computation by Exploitation of Friendships in Social Networks F. Movahedi Naini, J. Unnikrishnan, P. Thiran and M. Vetterli IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 4-9, 2014.
Hiding in the Mobile Crowd: Location Privacy through Collaboration R. Shokri, G. Theodorakopoulos, P. Papadimitratos, E. Kazemi and J. Hubaux IEEE Transactions on Dependable and Secure Computing, 2014.
A Bayesian Method for Matching Two Similar Graphs without Seeds P. Pedarsani, D. R. Figueiredo and M. Grossglauser Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, October 2013.
Mitigating Epidemics through Mobile Micro-measures M. Kafsi, E. Kazemi, L. Maystre, L. Yartseva, M. Grossglauser and P. Thiran NetMob, Boston, Massachusetts, USA, May 2013.
De-anonymizing Private Data by Matching Statistics J. Unnikrishnan and F. Movahedi Naini Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, USA, October 2-4, 2013.
Where to go from here? Mobility prediction from instantaneous information V. Etter, M. Kafsi, E. Kazemi, M. Grossglauser and P. Thiran Pervasive And Mobile Computing, 2013.
Wireless Multi-hop Networks Beyond Capacity A. Aziz, S. Shneer and P. Thiran 19th IEEE International Workshop on Local and Metropolitan Area Networks (LANMAN), 2013.
SAW: Spectrum Assignment for WLANs J. Herzen, R. Merz and P. Thiran ACM S3 2013, Miami, Florida, USA, September 30, 2013.
On the Performance of Percolation Graph Matching L. Yartseva and M. Grossglauser COSN'13: Conference on Online Social Networks, Boston, Massachusetts, USA, October 7-8, 2013.
Launch Hard or Go Home! Predicting the Success of Kickstarter Campaigns V. Etter, M. Grossglauser and P. Thiran The first ACM conference on Online Social Networks (COSN'13), Boston, Massachusetts, USA, October 7-8, 2013.
The Entropy of Conditional Markov Trajectories M. Kafsi, M. Grossglauser and P. Thiran IEEE TRANSACTIONS ON INFORMATION THEORY, 2013.
Nowhere to Hide: Navigating around Privacy in Online Social Networks M. Humbert, T. Studer, M. Grossglauser and J. Hubaux The 18th European Symposium on Research in Computer Security (ESORICS), Egham, United Kingdom, September 9-11, 2013.
Distributed Spectrum Assignment for Home WLANs J. Herzen, R. Merz and P. Thiran IEEE Infocom 2013, Torino, Italy, April 15-19, 2013.
Fairness of MAC protocols: IEEE 1901 vs. 802.11 C. Vlachou, J. Herzen and P. Thiran IEEE 17th International Symposium On Power Line Communications And Its Applications (ISPLC), Johannesburg, South Africa, 2013.
Locating the Source of Diffusion in Large-Scale Networks P. Pinto, P. Thiran and M. Vetterli Physical Review Letters, 2012.
Been There, Done That: What Your Mobility Traces Reveal about Your Behavior V. Etter, M. Kafsi and E. Kazemi Mobile Data Challenge by Nokia Workshop, in conjunction with Int. Conf. on Pervasive Computing, Newcastle, UK, June 18-19, 2012.