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ORCIDMayank Goswami 0001
Person information
- affiliation: City University of New York, NY, USA
- affiliation (PhD): Stony Brook University, New York, NY, USA
- affiliation (2013 - 2016): Max-Planck Institute for Informatics, Saarbrücken, Germany,
- affiliation (former): Indian Statistical Institute, Bangalore, India
Other persons with the same name
- Mayank Goswami 0002 — Indian Institute of Technology Roorkee, Department of Physics, India (and 1 more)
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2020 – today
- 2024
[j4]Omrit Filtser, Mayank Goswami, Joseph S. B. Mitchell, Valentin Polishchuk:
On Flipping the Fréchet Distance. Algorithmica 86(12): 3629-3652 (2024)- [c37]Mayank Goswami, Riko Jacob:
On Instance-Optimal Algorithms for a Generalization of Nuts and Bolts and Generalized Sorting. APPROX/RANDOM 2024: 23:1-23:23 - [c36]Mayank Goswami, Riko Jacob:
An Algorithm for Bichromatic Sorting with Polylog Competitive Ratio. ITCS 2024: 56:1-56:17 - [i27]Per Austrin, Ioana O. Bercea, Mayank Goswami, Nutan Limaye, Adarsh Srinivasan:
On the geometry of k-SAT solutions: what more can PPZ and Schöning's algorithms do? CoRR abs/2408.03465 (2024) - [i26]Jiachen Yao, Mayank Goswami, Chao Chen:
A Theoretical Study of Neural Network Expressive Power via Manifold Topology. CoRR abs/2410.16542 (2024) - 2023
- [j3]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. 5 (2023) - [c35]Madhav Narayan Bhat, Paul Cesaretti, Mayank Goswami, Prashant Pandey:
Distance and Time Sensitive Filters for Similarity Search in Trajectory Datasets. APOCS 2023: 51-63 - [c34]Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen:
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR 2023 - [c33]Omrit Filtser, Mayank Goswami, Joseph S. B. Mitchell, Valentin Polishchuk:
On Flipping the Fréchet Distance. ITCS 2023: 51:1-51:22 - [c32]Esther M. Arkin, Rezaul Alam Chowdhury, Mayank Goswami, Jason Huang, Joseph S. B. Mitchell, Valentin Polishchuk, Rakesh Ravindran:
Fair subgraph selection for contagion containment (Brief Announcement). LAGOS 2023: 370-372 - [i25]Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen:
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR abs/2308.02498 (2023) - [i24]Mayank Goswami, Riko Jacob:
An Algorithm for Bichromatic Sorting with Polylog Competitive Ratio. CoRR abs/2311.05773 (2023) - 2022
- [c31]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. AISTATS 2022: 11598-11614 - [c30]Jie Gao
, Mayank Goswami, Karthik C. S., Meng-Tsung Tsai, Shih-Yu Tsai, Hao-Tsung Yang:
Obtaining Approximately Optimal and Diverse Solutions via Dispersion. LATIN 2022: 222-239 - [c29]Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami:
Stability of SGD: Tightness analysis and improved bounds. UAI 2022: 2364-2373 - [i23]Jie Gao, Mayank Goswami, Karthik C. S., Meng-Tsung Tsai, Shih-Yu Tsai, Hao-Tsung Yang:
Obtaining Approximately Optimal and Diverse Solutions via Dispersion. CoRR abs/2202.10028 (2022) - [i22]Omrit Filtser, Mayank Goswami, Joseph S. B. Mitchell, Valentin Polishchuk:
How to Stay Socially Distant: A Geometric Approach. CoRR abs/2203.04548 (2022) - [i21]Wenjia Zhang, Yikai Zhang, Xiaolin Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. CoRR abs/2203.13277 (2022) - [i20]Mayank Goswami, Riko Jacob:
Universal Sorting: Finding a DAG using Priced Comparisons. CoRR abs/2211.04601 (2022) - 2021
- [c28]Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen:
Learning with Feature-Dependent Label Noise: A Progressive Approach. ICLR 2021 - [c27]Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen:
Topological Detection of Trojaned Neural Networks. NeurIPS 2021: 17258-17272 - [i19]Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami:
Stability of SGD: Tightness Analysis and Improved Bounds. CoRR abs/2102.05274 (2021) - [i18]Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen:
Learning with Feature-Dependent Label Noise: A Progressive Approach. CoRR abs/2103.07756 (2021) - [i17]Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen:
Topological Detection of Trojaned Neural Networks. CoRR abs/2106.06469 (2021) - 2020
- [c26]Esther M. Arkin, Rathish Das, Jie Gao, Mayank Goswami, Joseph S. B. Mitchell, Valentin Polishchuk, Csaba D. Tóth:
Cutting Polygons into Small Pieces with Chords: Laser-Based Localization. ESA 2020: 7:1-7:23 - [c25]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. ICML 2020: 11447-11457 - [c24]Michael A. Bender, Mayank Goswami, Dzejla Medjedovic, Pablo Montes, Kostas Tsichlas:
Batched Predecessor and Sorting with Size-Priced Information in External Memory. LATIN 2020: 155-167 - [c23]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. NeurIPS 2020 - [c22]Mayank Goswami, Riko Jacob, Rasmus Pagh:
On the I/O Complexity of the k-Nearest Neighbors Problem. PODS 2020: 205-212 - [i16]Mayank Goswami, Riko Jacob, Rasmus Pagh:
On the I/O complexity of the k-nearest neighbor problem. CoRR abs/2002.04870 (2020) - [i15]Michael A. Bender, Mayank Goswami, Dzejla Medjedovic, Pablo Montes, Kostas Tsichlas:
Batched Predecessor and Sorting with Size-Priced Information in External Memory. CoRR abs/2004.13197 (2020) - [i14]Esther M. Arkin, Rathish Das, Jie Gao, Mayank Goswami, Joseph S. B. Mitchell, Valentin Polishchuk, Csaba D. Tóth:
Cutting Polygons into Small Pieces with Chords: Laser-Based Localization. CoRR abs/2006.15089 (2020) - [i13]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. CoRR abs/2011.10077 (2020) - [i12]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. CoRR abs/2012.04835 (2020)
2010 – 2019
- 2018
- [c21]Mayank Goswami, Dzejla Medjedovic, Emina Mekic, Prashant Pandey:
Buffered Count-Min Sketch on SSD: Theory and Experiments. ESA 2018: 41:1-41:15 - [c20]Michael A. Bender, Martin Farach-Colton, Mayank Goswami, Rob Johnson, Samuel McCauley, Shikha Singh:
Bloom Filters, Adaptivity, and the Dictionary Problem. FOCS 2018: 182-193 - [c19]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 - [c18]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Multi-Finger Binary Search Trees. ISAAC 2018: 55:1-55:26 - [i11]Mayank Goswami, Dzejla Medjedovic, Emina Mekic, Prashant Pandey:
Buffered Count-Min Sketch on SSD: Theory and Experiments. CoRR abs/1804.10673 (2018) - [i10]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Multi-finger binary search trees. CoRR abs/1809.01759 (2018) - 2017
- [j2]Mayank Goswami, Xianfeng Gu, Vamsi Pingali, Gaurish Telang:
Computing Teichmüller Maps Between Polygons. Found. Comput. Math. 17(2): 497-526 (2017) - [j1]Arijit Bishnu, Sameer Desai, Arijit Ghosh, Mayank Goswami, Subhabrata Paul:
Uniformity of Point Samples in Metric Spaces Using Gap Ratio. SIAM J. Discret. Math. 31(3): 2138-2171 (2017) - [c17]Kin Sum Liu, Tyler Mayer, Hao-Tsung Yang, Esther M. Arkin, Jie Gao, Mayank Goswami, Matthew P. Johnson, Nirman Kumar, Shan Lin:
Joint sensing duty cycle scheduling for heterogeneous coverage guarantee. INFOCOM 2017: 1-9 - [c16]Mayank Goswami, Rasmus Pagh, Francesco Silvestri, Johan Sivertsen:
Distance Sensitive Bloom Filters Without False Negatives. SODA 2017: 257-269 - [c15]Peyman Afshani, Michael A. Bender, Martin Farach-Colton, Jeremy T. Fineman, Mayank Goswami, Meng-Tsung Tsai:
Cross-Referenced Dictionaries and the Limits of Write Optimization. SODA 2017: 1523-1532 - [i9]Michael A. Bender, Martin Farach-Colton, Mayank Goswami, Rob Johnson, Samuel McCauley, Shikha Singh:
Bloom Filters, Adaptivity, and the Dictionary Problem. CoRR abs/1711.01616 (2017) - 2016
- [i8]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
The landscape of bounds for binary search trees. CoRR abs/1603.04892 (2016) - [i7]Mayank Goswami, Rasmus Pagh, Francesco Silvestri, Johan Sivertsen:
Distance Sensitive Bloom Filters Without False Negatives. CoRR abs/1607.05451 (2016) - 2015
- [c14]Mayank Goswami, Siming Li, Junwei Zhang, Emil Saucan, Xianfeng David Gu, Jie Gao:
Space Filling Curves for 3D Sensor Networks with Complex Topology. CCCG 2015 - [c13]Mayank Goswami, Xianfeng Gu, Vamsi Pingali, Gaurish Telang:
Computing Teichmüller Maps between Polygons. SoCG 2015: 615-629 - [c12]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Self-Adjusting Binary Search Trees: What Makes Them Tick? ESA 2015: 300-312 - [c11]Jie Gao, Mayank Goswami:
Medial Axis Based Routing Has Constant Load Balancing Factor. ESA 2015: 557-569 - [c10]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Pattern-Avoiding Access in Binary Search Trees. FOCS 2015: 410-423 - [c9]Mayank Goswami, Allan Grønlund Jørgensen, Kasper Green Larsen, Rasmus Pagh:
Approximate Range Emptiness in Constant Time and Optimal Space. SODA 2015: 769-775 - [c8]Arijit Bishnu, Sameer Desai, Arijit Ghosh, Mayank Goswami, Subhabrata Paul:
Uniformity of Point Samples in Metric Spaces Using Gap Ratio. TAMC 2015: 347-358 - [c7]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Greedy Is an Almost Optimal Deque. WADS 2015: 152-165 - [i6]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
A Global Geometric View of Splaying. CoRR abs/1503.03105 (2015) - [i5]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Greedy Is an Almost Optimal Deque. CoRR abs/1506.08319 (2015) - [i4]Mayank Goswami, Siming Li, Junwei Zhang, Emil Saucan, Xianfeng David Gu, Jie Gao:
Space Filling Curves for 3D Sensor Networks with Complex Topology. CoRR abs/1507.02931 (2015) - [i3]Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Pattern-avoiding access in binary search trees. CoRR abs/1507.06953 (2015) - 2014
- [c6]Michael A. Bender, Martin Farach-Colton, Mayank Goswami, Dzejla Medjedovic, Pablo Montes, Meng-Tsung Tsai:
The Batched Predecessor Problem in External Memory. ESA 2014: 112-124 - [c5]Mayank Goswami, Chien-Chun Ni, Xiaomeng Ban, Jie Gao, Xianfeng David Gu, Vamsi Pingali:
Load balanced short path routing in large-scale wireless networks using area-preserving maps. MobiHoc 2014: 63-72 - [i2]Mayank Goswami, Allan Grønlund Jørgensen, Kasper Green Larsen, Rasmus Pagh:
Approximate Range Emptiness in Constant Time and Optimal Space. CoRR abs/1407.2907 (2014) - [i1]Arijit Bishnu, Sameer Desai, Arijit Ghosh, Mayank Goswami, Subhabrata Paul:
Uniformity of point samples in metric spaces using gap ratio. CoRR abs/1411.7819 (2014) - 2013
- [c4]Wei Zeng, Mayank Goswami, Feng Luo, Xianfeng Gu:
Geometric Registration Based on Distortion Estimation. ICCV 2013: 2632-2639 - [c3]Xiaomeng Ban, Mayank Goswami, Wei Zeng, Xianfeng Gu, Jie Gao:
Topology dependent space filling curves for sensor networks and applications. INFOCOM 2013: 2166-2174 - [c2]Rui Shi, Mayank Goswami, Jie Gao, Xianfeng Gu:
Is random walk truly memoryless - Traffic analysis and source location privacy under random walks. INFOCOM 2013: 3021-3029 - 2011
- [c1]Ruirui Jiang, Xiaomeng Ban, Mayank Goswami, Wei Zeng, Jie Gao, Xianfeng Gu:
Exploration of path space using sensor network geometry. IPSN 2011: 49-60
Coauthor Index
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