Rik Sarkar

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 51

Top Topics

Unsupervised Learning

Empirical Risk Minimization

Machine Learning

Top Venues

Publications

Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. Epi UAI (2024)
Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR (2024)
Rayna Andreeva, Anwesha Sarkar, Rik Sarkar
Machine learning and Topological data analysis identify unique features of human papillae in 3D scans. CoRR (2023)
Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar
Metric Space Magnitude and Generalisation in Neural Networks. CoRR (2023)
Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent. CoRR (2023)
Lauren Watson, Zeno Kujawa, Rayna Andreeva, Hao-Tsung Yang, Tariq Elahi, Rik Sarkar
Accelerated Shapley Value Approximation for Data Evaluation. CoRR (2023)
Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
Metric Space Magnitude for Evaluating Unsupervised Representation Learning. CoRR (2023)
Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar
Metric Space Magnitude and Generalisation in Neural Networks. TAG-ML (2023)
Gonzalo Martínez Ruiz de Arcaute, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation? CoRR (2023)
Gonzalo Martínez Ruiz de Arcaute, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. CoRR (2023)
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
The Shapley Value in Machine Learning. IJCAI (2022)
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
The Shapley Value in Machine Learning. CoRR (2022)
Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem. SoCG (2022)
Jiaxin Ding, Abhirup Ghosh, Rik Sarkar, Jie Gao
Publishing Asynchronous Event Times with Pufferfish Privacy. DCOSS (2022)
Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar
Differentially Private Shapley Values for Data Evaluation. CoRR (2022)
Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar
Continual and Sliding Window Release for Private Empirical Risk Minimization. CoRR (2022)
Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem. CoRR (2022)
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM (2021)
Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks. CoRR (2021)
Ameer Saadat-Yazdi, Rayna Andreeva, Rik Sarkar
Topological Detection of Alzheimer's Disease Using Betti Curves. iMIMIC/TDA4MedicalData@MICCAI (2021)
Benedek Rozemberczki, Rik Sarkar
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings. CoRR (2021)
Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency. WAFR (2021)
Benedek Rozemberczki, Carl Allen, Rik Sarkar
Multi-Scale attributed node embedding. J. Complex Networks 9 (2) (2021)
Benedek Rozemberczki, Rik Sarkar
The Shapley Value of Classifiers in Ensemble Games. CoRR (2021)
Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano, Miguel O. Bernabeu, Rik Sarkar, Primoz Skraba
Euler Characteristic Surfaces. CoRR (2021)
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR (2021)
Benedek Rozemberczki, Rik Sarkar
The Shapley Value of Classifiers in Ensemble Games. CIKM (2021)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Little Ball of Fur: A Python Library for Graph Sampling. CoRR (2020)
Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
Differentially Private Range Counting in Planar Graphs for Spatial Sensing. INFOCOM (2020)
Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency. CoRR (2020)
Lauren Watson, Benedek Rozemberczki, Rik Sarkar
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent. CoRR (2020)
Benedek Rozemberczki, Rik Sarkar
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CIKM (2020)
Benedek Rozemberczki, Rik Sarkar
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CoRR (2020)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Little Ball of Fur: A Python Library for Graph Sampling. CIKM (2020)
Lauren Watson, Anupam Mediratta, Tariq Elahi, Rik Sarkar
Privacy Preserving Detection of Path Bias Attacks in Tor. Proc. Priv. Enhancing Technol. 2020 (4) (2020)
Benedek Rozemberczki, Rik Sarkar
Fast Sequence-Based Embedding with Diffusion Graphs. CoRR (2020)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. CIKM (2020)
Haibo Hu, Rik Sarkar, Zhengzhang Chen
Introduction to the Special Issue on Retrieving and Learning from Internet of Things Data. Trans. Data Sci. 1 (4) (2020)
Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
Targeted Interventions Reduce the Spread of COVID-19: Simulation Study on Real Mobility Data. CoRR (2020)
Ylenia Giarratano, Alisa Pavel, Jie Lian, Rayna Andreeva, Alessandro Fontanella, Rik Sarkar, Laura J. Reid, Shareen Forbes, Dan Pugh, Tariq E. Farrah, Neeraj Dhaun, Baljean Dhillon, Thomas J. MacGillivray, Miguel O. Bernabeu
A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). OMIA@MICCAI (2020)
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. CoRR (2020)
Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton
GEMSEC: graph embedding with self clustering. ASONAM (2019)
Benedek Rozemberczki, Carl Allen, Rik Sarkar
Multi-scale Attributed Node Embedding. CoRR (2019)
Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar
Topological signatures for fast mobility analysis. SIGSPATIAL/GIS (2018)
Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton
GEMSEC: Graph Embedding with Self Clustering. CoRR (2018)
Maria Sinziana Astefanoaei, Paul Cesaretti, Panagiota Katsikouli, Mayank Goswami, Rik Sarkar
Multi-resolution sketches and locality sensitive hashing for fast trajectory processing. SIGSPATIAL/GIS (2018)
Panagiota Katsikouli, Maria Sinziana Astefanoaei, Rik Sarkar
Distributed Mining of Popular Paths in Road Networks. DCOSS (2018)
Abhirup Ghosh, Christopher Lucas, Rik Sarkar
Finding Periodic Discrete Events in Noisy Streams. CIKM (2017)
Jiemin Zeng, Gaurish Telang, Matthew P. Johnson, Rik Sarkar, Jie Gao, Esther M. Arkin, Joseph S. B. Mitchell
Mobile r-gather: Distributed and Geographic Clustering for Location Anonymity. MobiHoc (2017)
Philippa Shoemark, Sharon Goldwater, James Kirby, Rik Sarkar
Towards robust cross-linguistic comparisons of phonological networks. SIGMORPHON (2016)
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause
Distributed Submodular Maximization. J. Mach. Learn. Res. 17 (2016)
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause
Distributed Submodular Maximization. CoRR (2014)
Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. SenSys (2014)
Panagiota Katsikouli, Rik Sarkar, Jie Gao
Persistence based online signal and trajectory simplification for mobile devices. SIGSPATIAL/GIS (2014)
Kan Huang, Chien-Chun Ni, Rik Sarkar, Jie Gao, Joseph S. B. Mitchell
Bounded stretch geographic homotopic routing in sensor networks. INFOCOM (2014)
Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
Poster: am i indoor or outdoor? MobiCom (2014)
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data. NIPS (2013)
Rik Sarkar, Jie Gao
Differential Forms for Target Tracking and Aggregate Queries in Distributed Networks. IEEE/ACM Trans. Netw. 21 (4) (2013)
Rik Sarkar, Xianjin Zhu, Jie Gao
Distributed and compact routing using spatial distributions in wireless sensor networks. ACM Trans. Sens. Networks 9 (3) (2013)
Xiaokang Yu, Xiaomeng Ban, Wei Zeng, Rik Sarkar, Xianfeng Gu, Jie Gao
Spherical representation and polyhedron routing for load balancing in wireless sensor networks. INFOCOM (2011)
Rik Sarkar
Low Distortion Delaunay Embedding of Trees in Hyperbolic Plane. Graph Drawing (2011)
Xiaomeng Ban, Rik Sarkar, Jie Gao
Local connectivity tests to identify wormholes in wireless networks. MobiHoc (2011)
Rik Sarkar, Xianjin Zhu, Jie Gao
Hierarchical Spatial Gossip for Multiresolution Representations in Sensor Networks. ACM Trans. Sens. Networks 8 (1) (2011)
Rik Sarkar, Jie Gao
Differential forms for target tracking and aggregate queries in distributed networks. MobiCom (2010)
Rik Sarkar, Wei Zeng, Jie Gao, Xianfeng David Gu
Covering space for in-network sensor data storage. IPSN (2010)
Wei Zeng, Rik Sarkar, Feng Luo, Xianfeng Gu, Jie Gao
Resilient Routing for Sensor Networks Using Hyperbolic Embedding of Universal Covering Space. INFOCOM (2010)
Xianjin Zhu, Rik Sarkar, Jie Gao
Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition. INFOCOM (2009)
Rik Sarkar, Xianjin Zhu, Jie Gao
Spatial Distribution in Routing Table Design for Sensor Networks. INFOCOM (2009)
Rik Sarkar, Xianjin Zhu, Jie Gao
Double rulings for information brokerage in sensor networks. IEEE/ACM Trans. Netw. 17 (6) (2009)
Rik Sarkar, Xiaotian Yin, Jie Gao, Feng Luo, Xianfeng David Gu
Greedy routing with guaranteed delivery using Ricci flows. IPSN (2009)
Xianjin Zhu, Rik Sarkar, Jie Gao
Segmenting a sensor field: Algorithms and applications in network design. ACM Trans. Sens. Networks 5 (2) (2009)
Xianjin Zhu, Rik Sarkar, Jie Gao, Joseph S. B. Mitchell
Light-Weight Contour Tracking in Wireless Sensor Networks. INFOCOM (2008)
Rik Sarkar, Xianjin Zhu, Jie Gao, Leonidas J. Guibas, Joseph S. B. Mitchell
Iso-Contour Queries and Gradient Descent with Guaranteed Delivery in Sensor Networks. INFOCOM (2008)
Rik Sarkar, Xianjin Zhu, Jie Gao
Hierarchical spatial gossip for multi-resolution representations in sensor networks. IPSN (2007)
Xianjin Zhu, Rik Sarkar, Jie Gao
Shape Segmentation and Applications in Sensor Networks. INFOCOM (2007)
Rik Sarkar, Xianjin Zhu, Jie Gao
Double rulings for information brokerage in sensor networks. MobiCom (2006)