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Rik Sarkar
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2020 – today
- 2024
- [c40]Gonzalo Martínez
, Lauren Watson
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. Epi UAI 2024: 59-73 - [i29]Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli:
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR abs/2407.08723 (2024) - [i28]Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar:
Approximating Metric Magnitude of Point Sets. CoRR abs/2409.04411 (2024) - [i27]Javier Conde, Tobias Cheung, Gonzalo Martínez, Pedro Reviriego, Rik Sarkar:
Analyzing Recursiveness in Multimodal Generative Artificial Intelligence: Stability or Divergence? CoRR abs/2409.16297 (2024) - 2023
- [c39]Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar:
Metric Space Magnitude and Generalisation in Neural Networks. TAG-ML 2023: 242-253 - [i26]Gonzalo Martínez, 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 abs/2303.01255 (2023) - [i25]Rayna Andreeva
Metric Space Magnitude and Generalisation in Neural Networks. CoRR abs/2305.05611 (2023) - [i24]Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar:
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. CoRR abs/2306.06130 (2023) - [i23]Rayna Andreeva
Machine learning and Topological data analysis identify unique features of human papillae in 3D scans. CoRR abs/2307.06255 (2023) - [i22]Lauren Watson, Zeno Kujawa, Rayna Andreeva
Accelerated Shapley Value Approximation for Data Evaluation. CoRR abs/2311.05346 (2023) - [i21]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 abs/2311.06839 (2023) - [i20]Katharina Limbeck, Rayna Andreeva
Metric Space Magnitude for Evaluating Unsupervised Representation Learning. CoRR abs/2311.16054 (2023) - 2022
- [c38]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: 2:1-2:14 - [c37]Jiaxin Ding, Abhirup Ghosh
Publishing Asynchronous Event Times with Pufferfish Privacy. DCOSS 2022: 53-60 - [c36]Benedek Rozemberczki, Lauren Watson, Péter Bayer
The Shapley Value in Machine Learning. IJCAI 2022: 5572-5579 - [i19]Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar:
The Shapley Value in Machine Learning. CoRR abs/2202.05594 (2022) - [i18]Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar:
Continual and Sliding Window Release for Private Empirical Risk Minimization. CoRR abs/2203.03594 (2022) - [i17]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 abs/2203.07280 (2022) - [i16]Lauren Watson, Rayna Andreeva
Differentially Private Shapley Values for Data Evaluation. CoRR abs/2206.00511 (2022) - 2021
- [j9]Benedek Rozemberczki
Multi-Scale attributed node embedding. J. Complex Networks 9(2) (2021) - [c35]Benedek Rozemberczki, Rik Sarkar:
The Shapley Value of Classifiers in Ensemble Games. CIKM 2021: 1558-1567 - [c34]Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM 2021: 4564-4573 - [c33]Ameer Saadat-Yazdi
Topological Detection of Alzheimer's Disease Using Betti Curves. iMIMIC/TDA4MedicalData@MICCAI 2021: 119-128 - [c32]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: 107-123 - [i15]Benedek Rozemberczki, Rik Sarkar:
The Shapley Value of Classifiers in Ensemble Games. CoRR abs/2101.02153 (2021) - [i14]Benedek Rozemberczki, Rik Sarkar:
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings. CoRR abs/2101.03091 (2021) - [i13]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 abs/2102.08100 (2021) - [i12]Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano, Miguel O. Bernabeu, Rik Sarkar, Primoz Skraba:
Euler Characteristic Surfaces. CoRR abs/2102.08260 (2021) - [i11]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 abs/2104.07788 (2021) - 2020
- [j8]Lauren Watson, Anupam Mediratta, Tariq Elahi
Privacy Preserving Detection of Path Bias Attacks in Tor. Proc. Priv. Enhancing Technol. 2020(4): 111-130 (2020) - [j7]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): 24:1 (2020) - [c31]Benedek Rozemberczki, Rik Sarkar:
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CIKM 2020: 1325-1334 - [c30]Benedek Rozemberczki, Oliver Kiss, Rik Sarkar:
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. CIKM 2020: 3125-3132 - [c29]Benedek Rozemberczki, Oliver Kiss
Little Ball of Fur: A Python Library for Graph Sampling. CIKM 2020: 3133-3140 - [c28]Abhirup Ghosh
Differentially Private Range Counting in Planar Graphs for Spatial Sensing. INFOCOM 2020: 2233-2242 - [c27]Ylenia Giarratano, Alisa Pavel
A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). OMIA@MICCAI 2020: 155-164 - [i10]Benedek Rozemberczki, Rik Sarkar:
Fast Sequence-Based Embedding with Diffusion Graphs. CoRR abs/2001.07463 (2020) - [i9]Benedek Rozemberczki, Oliver Kiss
An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. CoRR abs/2003.04819 (2020) - [i8]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 abs/2005.02530 (2020) - [i7]Benedek Rozemberczki, Rik Sarkar:
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. CoRR abs/2005.07959 (2020) - [i6]Benedek Rozemberczki, Oliver Kiss, Rik Sarkar:
Little Ball of Fur: A Python Library for Graph Sampling. CoRR abs/2006.04311 (2020) - [i5]Lauren Watson, Benedek Rozemberczki, Rik Sarkar:
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent. CoRR abs/2006.14360 (2020) - [i4]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 abs/2008.06549 (2020)
2010 – 2019
- 2019
- [c26]Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton:
GEMSEC: graph embedding with self clustering. ASONAM 2019: 65-72 - [i3]Benedek Rozemberczki, Carl Allen, Rik Sarkar:
Multi-scale Attributed Node Embedding. CoRR abs/1909.13021 (2019) - 2018
- [c25]Panagiota Katsikouli, Maria Sinziana Astefanoaei, Rik Sarkar:
Distributed Mining of Popular Paths in Road Networks. DCOSS 2018: 1-8 - [c24]Abhirup Ghosh
Topological signatures for fast mobility analysis. SIGSPATIAL/GIS 2018: 159-168 - [c23]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: 279-288 - [i2]Benedek Rozemberczki, Ryan Davies, Rik Sarkar, Charles Sutton:
GEMSEC: Graph Embedding with Self Clustering. CoRR abs/1802.03997 (2018) - 2017
- [c22]Abhirup Ghosh
Finding Periodic Discrete Events in Noisy Streams. CIKM 2017: 627-636 - [c21]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: 7:1-7:10 - 2016
- [j6]Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause:
Distributed Submodular Maximization. J. Mach. Learn. Res. 17: 238:1-238:44 (2016) - [c20]Philippa Shoemark
Towards robust cross-linguistic comparisons of phonological networks. SIGMORPHON 2016: 110-120 - 2014
- [c19]Panagiota Katsikouli, Rik Sarkar, Jie Gao:
Persistence based online signal and trajectory simplification for mobile devices. SIGSPATIAL/GIS 2014: 371-380 - [c18]Kan Huang, Chien-Chun Ni, Rik Sarkar, Jie Gao, Joseph S. B. Mitchell:
Bounded stretch geographic homotopic routing in sensor networks. INFOCOM 2014: 979-987 - [c17]Valentin Radu
Poster: am i indoor or outdoor? MobiCom 2014: 401-404 - [c16]Valentin Radu
A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. SenSys 2014: 280-294 - [i1]Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause:
Distributed Submodular Maximization. CoRR abs/1411.0541 (2014) - 2013
- [j5]Rik Sarkar, Jie Gao:
Differential Forms for Target Tracking and Aggregate Queries in Distributed Networks. IEEE/ACM Trans. Netw. 21(4): 1159-1172 (2013) - [j4]Rik Sarkar, Xianjin Zhu, Jie Gao:
Distributed and compact routing using spatial distributions in wireless sensor networks. ACM Trans. Sens. Networks 9(3): 32:1-32:20 (2013) - [c15]Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause:
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data. NIPS 2013: 2049-2057 - 2011
- [j3]Rik Sarkar, Xianjin Zhu, Jie Gao:
Hierarchical Spatial Gossip for Multiresolution Representations in Sensor Networks. ACM Trans. Sens. Networks 8(1): 4:1-4:24 (2011) - [c14]Rik Sarkar:
Low Distortion Delaunay Embedding of Trees in Hyperbolic Plane. GD 2011: 355-366 - [c13]Xiaokang Yu, Xiaomeng Ban, Wei Zeng, Rik Sarkar, Xianfeng Gu
Spherical representation and polyhedron routing for load balancing in wireless sensor networks. INFOCOM 2011: 621-625 - [c12]Xiaomeng Ban, Rik Sarkar, Jie Gao:
Local connectivity tests to identify wormholes in wireless networks. MobiHoc 2011: 13 - 2010
- [c11]Wei Zeng, Rik Sarkar, Feng Luo, Xianfeng Gu
Resilient Routing for Sensor Networks Using Hyperbolic Embedding of Universal Covering Space. INFOCOM 2010: 1694-1702 - [c10]Rik Sarkar, Wei Zeng, Jie Gao, Xianfeng David Gu
Covering space for in-network sensor data storage. IPSN 2010: 232-243 - [c9]Rik Sarkar, Jie Gao:
Differential forms for target tracking and aggregate queries in distributed networks. MobiCom 2010: 377-388
2000 – 2009
- 2009
- [j2]Rik Sarkar, Xianjin Zhu, Jie Gao:
Double rulings for information brokerage in sensor networks. IEEE/ACM Trans. Netw. 17(6): 1902-1915 (2009) - [j1]Xianjin Zhu, Rik Sarkar, Jie Gao:
Segmenting a sensor field: Algorithms and applications in network design. ACM Trans. Sens. Networks 5(2): 12:1-12:32 (2009) - [c8]Rik Sarkar, Xianjin Zhu, Jie Gao:
Spatial Distribution in Routing Table Design for Sensor Networks. INFOCOM 2009: 2766-2770 - [c7]Xianjin Zhu, Rik Sarkar, Jie Gao:
Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition. INFOCOM 2009: 2911-2915 - [c6]Rik Sarkar, Xiaotian Yin, Jie Gao, Feng Luo, Xianfeng David Gu:
Greedy routing with guaranteed delivery using Ricci flows. IPSN 2009: 121-132 - 2008
- [c5]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: 960-967 - [c4]Xianjin Zhu, Rik Sarkar, Jie Gao, Joseph S. B. Mitchell:
Light-Weight Contour Tracking in Wireless Sensor Networks. INFOCOM 2008: 1175-1183 - 2007
- [c3]Xianjin Zhu, Rik Sarkar, Jie Gao:
Shape Segmentation and Applications in Sensor Networks. INFOCOM 2007: 1838-1846 - [c2]Rik Sarkar, Xianjin Zhu, Jie Gao:
Hierarchical spatial gossip for multi-resolution representations in sensor networks. IPSN 2007: 420-429 - 2006
- [c1]Rik Sarkar, Xianjin Zhu, Jie Gao:
Double rulings for information brokerage in sensor networks. MobiCom 2006: 286-297
Coauthor Index
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