Rik Sarkar - RankMe

84 papers A* 17A 7B 5C 1Misc 1Journal 40Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Magnitude Distance: A Geometric Measure of Dataset Similarity. CoRR Sahel Torkamani, Henry Gouk, Rik Sarkar
2025	—	`conf`	Analyzing Recursiveness in Multimodal Generative Artificial Intelligence: Stability or Divergence? FLLM Javier Conde, Tobias Cheung, Gonzalo Martínez, Pedro Reviriego, Rik Sarkar
2025	A*	`conf`	Approximating Metric Magnitude of Point Sets. AAAI Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar
2025	J	`jnl`	PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces. CoRR Wan Ki Wong, Sahel Torkamani, Michele Ciampi, Rik Sarkar
2024	J	`jnl`	Analyzing Recursiveness in Multimodal Generative Artificial Intelligence: Stability or Divergence? CoRR Javier Conde, Tobias Cheung, Gonzalo Martínez, Pedro Reviriego, Rik Sarkar
2024	J	`jnl`	Approximating Metric Magnitude of Point Sets. CoRR Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar
2024	A*	`conf`	Metric Space Magnitude for Evaluating the Diversity of Latent Representations. NeurIPS Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
2024	A*	`conf`	Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. NeurIPS Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
2024	J	`jnl`	Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
2024	—	`conf`	Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. Epi UAI Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
2023	J	`jnl`	Accelerated Shapley Value Approximation for Data Evaluation. CoRR Lauren Watson, Zeno Kujawa, Rayna Andreeva, Hao-Tsung Yang, Tariq Elahi, Rik Sarkar
2023	J	`jnl`	Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation? CoRR Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
2023	J	`jnl`	Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent. CoRR Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar
2023	J	`jnl`	Machine learning and Topological data analysis identify unique features of human papillae in 3D scans. CoRR Rayna Andreeva, Anwesha Sarkar, Rik Sarkar
2023	—	`conf`	Metric Space Magnitude and Generalisation in Neural Networks. TAG-ML Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar
2023	J	`jnl`	Metric Space Magnitude and Generalisation in Neural Networks. CoRR Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar
2023	J	`jnl`	Metric Space Magnitude for Evaluating Unsupervised Representation Learning. CoRR Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
2023	J	`jnl`	Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. CoRR Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
2022	J	`jnl`	Continual and Sliding Window Release for Private Empirical Risk Minimization. CoRR Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar
2022	J	`jnl`	Differentially Private Shapley Values for Data Evaluation. CoRR Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar
2022	A*	`conf`	On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem. SoCG Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
2022	J	`jnl`	On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem. CoRR Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
2022	B	`conf`	Publishing Asynchronous Event Times with Pufferfish Privacy. DCOSS Jiaxin Ding, Abhirup Ghosh, Rik Sarkar, Jie Gao
2022	A*	`conf`	The Shapley Value in Machine Learning. IJCAI Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
2022	J	`jnl`	The Shapley Value in Machine Learning. CoRR Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
2021	C	`conf`	Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency. WAFR Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
2021	J	`jnl`	Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks. CoRR Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci
2021	J	`jnl`	Euler Characteristic Surfaces. CoRR Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano, Miguel O. Bernabeu, Rik Sarkar, Primoz Skraba
2021	J	`jnl`	Multi-Scale attributed node embedding. J. Complex Networks Benedek Rozemberczki, Carl Allen, Rik Sarkar
2021	A	`conf`	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar
2021	J	`jnl`	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar
2021	A	`conf`	The Shapley Value of Classifiers in Ensemble Games. CIKM Benedek Rozemberczki, Rik Sarkar
2021	J	`jnl`	The Shapley Value of Classifiers in Ensemble Games. CoRR Benedek Rozemberczki, Rik Sarkar
2021	—	`conf`	Topological Detection of Alzheimer's Disease Using Betti Curves. iMIMIC/TDA4MedicalData@MICCAI Ameer Saadat-Yazdi, Rayna Andreeva, Rik Sarkar
2021	J	`jnl`	Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings. CoRR Benedek Rozemberczki, Rik Sarkar
2020	—	`conf`	A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). OMIA@MICCAI 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
2020	J	`jnl`	An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. CoRR Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
2020	J	`jnl`	Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency. CoRR Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
2020	A	`conf`	Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CIKM Benedek Rozemberczki, Rik Sarkar
2020	J	`jnl`	Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CoRR Benedek Rozemberczki, Rik Sarkar
2020	A*	`conf`	Differentially Private Range Counting in Planar Graphs for Spatial Sensing. INFOCOM Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
2020	J	`jnl`	Fast Sequence-Based Embedding with Diffusion Graphs. CoRR Benedek Rozemberczki, Rik Sarkar
2020	J	`jnl`	Introduction to the Special Issue on Retrieving and Learning from Internet of Things Data. Trans. Data Sci. Haibo Hu, Rik Sarkar, Zhengzhang Chen
2020	A	`conf`	Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. CIKM Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
2020	A	`conf`	Little Ball of Fur: A Python Library for Graph Sampling. CIKM Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
2020	J	`jnl`	Little Ball of Fur: A Python Library for Graph Sampling. CoRR Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
2020	J	`jnl`	Privacy Preserving Detection of Path Bias Attacks in Tor. Proc. Priv. Enhancing Technol. Lauren Watson, Anupam Mediratta, Tariq Elahi, Rik Sarkar
2020	J	`jnl`	Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent. CoRR Lauren Watson, Benedek Rozemberczki, Rik Sarkar
2020	J	`jnl`	Targeted Interventions Reduce the Spread of COVID-19: Simulation Study on Real Mobility Data. CoRR Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
2019	B	`conf`	GEMSEC: graph embedding with self clustering. ASONAM Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton
2019	J	`jnl`	Multi-scale Attributed Node Embedding. CoRR Benedek Rozemberczki, Carl Allen, Rik Sarkar
2018	B	`conf`	Distributed Mining of Popular Paths in Road Networks. DCOSS Panagiota Katsikouli, Maria Sinziana Astefanoaei, Rik Sarkar
2018	J	`jnl`	GEMSEC: Graph Embedding with Self Clustering. CoRR Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton
2018	—	`conf`	Multi-resolution sketches and locality sensitive hashing for fast trajectory processing. SIGSPATIAL/GIS Maria Sinziana Astefanoaei, Paul Cesaretti, Panagiota Katsikouli, Mayank Goswami, Rik Sarkar
2018	—	`conf`	Topological signatures for fast mobility analysis. SIGSPATIAL/GIS Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar
2017	A	`conf`	Finding Periodic Discrete Events in Noisy Streams. CIKM Abhirup Ghosh, Christopher Lucas, Rik Sarkar
2017	B	`conf`	Mobile r-gather: Distributed and Geographic Clustering for Location Anonymity. MobiHoc Jiemin Zeng, Gaurish Telang, Matthew P. Johnson, Rik Sarkar, Jie Gao, Esther M. Arkin, Joseph S. B. Mitchell
2016	J	`jnl`	Distributed Submodular Maximization. J. Mach. Learn. Res. Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause
2016	—	`conf`	Towards robust cross-linguistic comparisons of phonological networks. SIGMORPHON Philippa Shoemark, Sharon Goldwater, James Kirby, Rik Sarkar
2014	Misc	`conf`	A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. SenSys Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
2014	A*	`conf`	Bounded stretch geographic homotopic routing in sensor networks. INFOCOM Kan Huang, Chien-Chun Ni, Rik Sarkar, Jie Gao, Joseph S. B. Mitchell
2014	J	`jnl`	Distributed Submodular Maximization. CoRR Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause
2014	—	`conf`	Persistence based online signal and trajectory simplification for mobile devices. SIGSPATIAL/GIS Panagiota Katsikouli, Rik Sarkar, Jie Gao
2014	A*	`conf`	Poster: am i indoor or outdoor? MobiCom Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
2013	J	`jnl`	Differential Forms for Target Tracking and Aggregate Queries in Distributed Networks. IEEE/ACM Trans. Netw. Rik Sarkar, Jie Gao
2013	—	`conf`	Distributed Submodular Maximization: Identifying Representative Elements in Massive Data. NIPS Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause
2013	J	`jnl`	Distributed and compact routing using spatial distributions in wireless sensor networks. ACM Trans. Sens. Networks Rik Sarkar, Xianjin Zhu, Jie Gao
2011	J	`jnl`	Hierarchical Spatial Gossip for Multiresolution Representations in Sensor Networks. ACM Trans. Sens. Networks Rik Sarkar, Xianjin Zhu, Jie Gao
2011	B	`conf`	Local connectivity tests to identify wormholes in wireless networks. MobiHoc Xiaomeng Ban, Rik Sarkar, Jie Gao
2011	A	`conf`	Low Distortion Delaunay Embedding of Trees in Hyperbolic Plane. GD Rik Sarkar
2011	A*	`conf`	Spherical representation and polyhedron routing for load balancing in wireless sensor networks. INFOCOM Xiaokang Yu, Xiaomeng Ban, Wei Zeng, Rik Sarkar, Xianfeng Gu, Jie Gao
2010	—	`conf`	Covering space for in-network sensor data storage. IPSN Rik Sarkar, Wei Zeng, Jie Gao, Xianfeng David Gu
2010	A*	`conf`	Differential forms for target tracking and aggregate queries in distributed networks. MobiCom Rik Sarkar, Jie Gao
2010	A*	`conf`	Resilient Routing for Sensor Networks Using Hyperbolic Embedding of Universal Covering Space. INFOCOM Wei Zeng, Rik Sarkar, Feng Luo, Xianfeng Gu, Jie Gao
2009	J	`jnl`	Double rulings for information brokerage in sensor networks. IEEE/ACM Trans. Netw. Rik Sarkar, Xianjin Zhu, Jie Gao
2009	—	`conf`	Greedy routing with guaranteed delivery using Ricci flows. IPSN Rik Sarkar, Xiaotian Yin, Jie Gao, Feng Luo, Xianfeng David Gu
2009	J	`jnl`	Segmenting a sensor field: Algorithms and applications in network design. ACM Trans. Sens. Networks Xianjin Zhu, Rik Sarkar, Jie Gao
2009	A*	`conf`	Spatial Distribution in Routing Table Design for Sensor Networks. INFOCOM Rik Sarkar, Xianjin Zhu, Jie Gao
2009	A*	`conf`	Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition. INFOCOM Xianjin Zhu, Rik Sarkar, Jie Gao
2008	A*	`conf`	Iso-Contour Queries and Gradient Descent with Guaranteed Delivery in Sensor Networks. INFOCOM Rik Sarkar, Xianjin Zhu, Jie Gao, Leonidas J. Guibas, Joseph S. B. Mitchell
2008	A*	`conf`	Light-Weight Contour Tracking in Wireless Sensor Networks. INFOCOM Xianjin Zhu, Rik Sarkar, Jie Gao, Joseph S. B. Mitchell
2007	—	`conf`	Hierarchical spatial gossip for multi-resolution representations in sensor networks. IPSN Rik Sarkar, Xianjin Zhu, Jie Gao
2007	A*	`conf`	Shape Segmentation and Applications in Sensor Networks. INFOCOM Xianjin Zhu, Rik Sarkar, Jie Gao
2006	A*	`conf`	Double rulings for information brokerage in sensor networks. MobiCom Rik Sarkar, Xianjin Zhu, Jie Gao