Authors are ordered alphabetically by convention in theory. Uses of the files linked below are subject to copyrights of respective publishers. Please check before use. If you would like a pdf of the paper that is not available yet, please send me an email.
Preprints
W. Gálvez, M. Goswami, A. Merino, G. Park, M.T. Tsai, V. Verdugo
A Framework for the Design of Efficient Diversification Algorithms to NP-Hard ProblemsP. Afshani, R. Chowdhury, I.L. Gortz, M. Goswami, F. Sylvestri, M. Tognon, How many users have been here for a long time? Efficient solutions for counting long aggregated visits
Conferences
Peyman Afshani, Rezaul Chowdhury, Mayank Goswami, Jens Kristian Refsgaard Schou, Francesco Silvestri, Mariafiore Tognon, The benefits of full data shuffle, now with optimal I/O cost: k-wise independence and matrix transposition to the rescue, International Conference on Machine Learning (ICML), July 2026.
A. Aamand, M. Abrahamsen, R. Browne, M. Goswami, P.N. Kasthurirangan, L. Kleist, J. Mitchell, V. Polishchuk, J. Stade
Covering and partitioning complex objects with small pieces, Symposium on Computational Geometry (SoCG), June 2026B. Aronov, M. Goswami, J. Iacono, I. Ramesh On the fragile complexity of geometric problems, Proc. of the 20th Scandinavian Symposium on Algorithm Theory (SWAT), June 2026.
Waldo Gálvez, Mayank Goswami, Arturo Merino, GiBeom Park, Meng-Tsung Tsai
Computing Diverse and Nice Triangulations (Best Paper Award)
Proc. of the 25th International Symposium on Fundamentals of Computation Theory, (FCT), September 2025V. Ashvinkumar, R. Chowdury, J. Gao, M. Goswami, J.S.B. Mitchell, V. Polishchuk
Vantage Point Selection Algorithms for Bottleneck Capacity Estimation
Proc of the 19th Algorithms and Data Structures Symposium (WADS), August 2025J. Yao, L. Yi, M. Goswami, C. Chen
A Theoretical Study of Neural Network Expressive Power via Manifold Topology
Transactions on Machine Learning Research (TMLR), 2025P. Austrin, I.O. Bercea, M. Goswami, N. Limaye, A. Srinivasan
Algorithms for the Diverse-k-SAT problem: the geometry of satisfying assignments
Proc of the 52nd EATCS International Colloquium on Automata, Languages and Programming (ICALP), July 2025M. Goswami, R. Jacob
On Instance-Optimal Algorithms for a Generalization of Nuts and Bolts and Generalized Sorting
Proc. Of the 27th International Conference on Approximation Algorithms for Combinatorial Optimization (APPROX), August 2024M. Goswami, R. Jacob
An Algorithm for Bichromatic Sorting with Polylog Competitive Ratio
Proc. Of the 15th Innovations in Theoretical Computer Science (ITCS), January 2024S. Zheng, Y. Zhang, L. Pang, W. Lyu, M. Goswami, A. Schneider, Y. Nevmyvaka, H. Ling, C. Chen
On the Existence of a Trojaned Twin Model
BANDS Workshop at the 11th International Conference on Learning Representations (ICLR), May 2023J. Yao, Y. Zhang, S. Zheng, M. Goswami, P. Prasanna, C. Chen
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
The 11th International Conference on Learning Representations (ICLR), May 2023O. Filtser, M. Goswami, J. Mitchell, V. Polishchuk
On Flipping the Frechet Distance
Proc. of the 14th Innovations in Theoretical Computer Science (ITCS), January 2023P. Cesaretti, M.N. Bhat, M. Goswami and P. Pandey
Distance and Time Sensitive Filters for Similarity Search in Trajectory Datasets
Proc. of the SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS 23), January 2023J. Gao, M. Goswami, Karthik C. S., M.T. Tsai, S.Y. Tsai, H.T. Yang
Obtaining Approximately Optimal and Diverse Solutions via Dispersion
Proceedings of the 15th Latin American Theoretical Informatics Symposium (LATIN), November 2022D. Deingeniis, X. Zhou, W.M. Wong, Y. Nomura, M. Goswami
The Impact of Maternal PTSD and Child Temperament on Child Behavioral Problems: An Interpretable Machine Learning Approach
Presented at the 38th Annual Meeting of the International Society for Traumatic Stress Studies (ISTSS), November, 2022Y. Zhang, W. Zhang, S. Bald, V.P. Pingali, C. Chen, M. Goswami
Stability of SGD: Tightness Analysis and Improved Bounds
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI) August 2022W. Zhang, Y. Zhang, X. Hu, M. Goswami, C. Chen, D. Metaxas
A Manifold View of Adversarial Risk
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)S. Zheng, Y. Zhang, H. Wagner, M. Goswami, C. Chen
Topological Detection of Trojaned Neural Networks
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS), December 2021.S. Zheng, P. Wu, Y. Zhang, M. Goswami, C. Chen, D. Metaxas
Learning with Feature-Dependent Label Noise: A Progressive Approach
Proc. of the 9th International Conference of Learning Representations (ICLR), 2021. (Spotlight).P. Wu, S. Zheng, M. Goswami, C. Chen, D. Metaxas
A Topological Filter for Learning with Label Noise
Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS), December 2020.M. Goswami, R. Jacob, R. Pagh
On the I/O-Complexity of the k-nearest neighbors problem
Proc. of the 2020 ACM SIGMOD/PODS (Principles of Database Systems) Conference (PODS'20), June 2020.S. Zheng, M. Goswami, P. Wu, A. Goswami, C. Chen, D. Metaxas
Error-Bounded Correction of Noisy Labels
Proc. of the 37th International Conference on Machine Learning (ICML), July 2020.E. Arkin, R. Das, J. Gao, M. Goswami, J.S.B. Mitchell, V. Polishchuk, C. Toth
Cutting Polygons into Small Pieces with Chords: Laser-Based Localization
Proc. of the European Symposium on Algorithms (ESA), July 2020.M. Bender, M. Goswami, D. Mededovic, P. Montes, K. Tsichlas
Batched Predecessor and Sorting with Size-Priced Information in External Memory
Proc. of the 14th Latin American Theoretical Informatics Symposium (LATIN), June 2020.P. Charlemsook, M. Goswami, L. Kozma, K. Mehlhorn, T. Saranurak
Multi-finger binary search trees
29th International Symposium on Algorithms and Computation (ISAAC), December 2018.M. Astefanoaei, P. Cesaretti, P. Katsikouli, M. Goswami, R. Sarkar
Multi-resolution sketches and locality sensitive hashing for fast trajectory processing
Proceedings of the 26th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2018.M. A. Bender, M. Farach-Colton, M. Goswami, R. Johnson, S. McCauley, S. Singh
Bloom Filters, Adaptivity and the Dictionary Problem
Proc. of the 59th Annual IEEE Symposium on Foundations of Computer Science (FOCS), October 2018.M. Goswami, D. Medjedovic, E. Mekic, P. Pandey
Buffered Count-Min Sketch on SSD: Theory and Experiments
Proc. of the 26th European Symposium on Algorithms (ESA), August 2018.K.S. Liu, Tyler Mayer, H.T. Yang, E. Arkin, J. Gao, M. Goswami, M.P. Johnson, N. Kumar, S. Lin
Joint Sensing Duty Cycle Scheduling For Heterogenous Coverage Guarantee
Proc. of the 36th Annual IEEE Conference on Computer Communications 2017 (INFOCOMM).M. Goswami, R. Pagh, F. Silvestri, J. Sivertsen
Distance Sensitive Bloom Filters without False Negatives
Proc. of the 28th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), January, 2017.P. Afshani, M. Bender, M. Farach-Colton, J. Fineman, M. Goswami, M.T. Tsai
Cross Referencing and the Limits of Write Optimization
Proc. of the 28th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), January, 2017.P. Chalermsook, M. Goswami, L. Kozma, K. Mehlhorn, T. Saranurak
Pattern-Avoiding Access in Binary Search Trees
Symposium on Foundations of Computer Science (FOCS), October 2015.J. Gao, M. Goswami
Medial Axis Based Routing has Constant Load Balancing Factor
European Symposium on Algorithms (ESA), September 2015.P. Chalermsook, M. Goswami, L. Kozma, K. Mehlhorn, T. Saranurak
Self-Adjusting Binary Search Trees: What Makes Them Tick?
European Symposium on Algorithms (ESA), September 2015.M. Goswami, S. Li, J. Weng, J. Gao, X. Gu, E. Saucan
Space Filling Curves for 3D Sensor Networks with Complex Topologys
Proc. of the 27th Canadian Conference on Computational Geometry (CCCG), August 2015.P.Charlemsook, M. Goswami, L. Kozma, K. Mehlhorn, T. Saranurak
Greedy is an almost optimal deque
Proc. of the Algorithms and Data Structures Symposium (WADS), August, 2015.M. Goswami, X. Gu, V. Pingali, G. Telang
Computing Teichmüller Maps between Polygons
Proc. of the 31st International Symposium on Computational Geometry (SoCG), June, 2015. Invited to Journal of Computational Geometry (SoCG15 special issue).M. Goswami, A. Grønlund, K.G. Larsen, R. Pagh
Approximate Range Emptiness in Constant Time and Optimal Space
Proc. of the 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), January, 2015.A. Bishnu, S. Desai, A. Ghosh, M. Goswami, S. Paul
Uniformity of point samples in metric spaces using gap ratio
Proc. of the 12th Annual Conference on Theory and Applications of Models of Computation (TAMC), May 2015.M. Bender, M. Farach-Colton, M. Goswami, D. Medjedovic, P. Montes, M.T. Tsai
The Batched Predecessor Problem in External Memory
Proc. of the European Symposium on Algorithms (ESA), September, 2014.M. Goswami, C.C. Ni, X. Ban, V. Pingali, J. Gao, X. Gu
Load Balanced Short Path Routing in Large-Scale Wireless Networks Using Area-Preserving Maps
proc. of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), August, 2014.W. Zeng, M. Goswami, X. Gu, F. Luo
Geometric Registration Based on Distortion Estimation
Proc. of the International Conference on Computer Vision (ICCV), December, 2013.X. Ban, M. Goswami, W. Zeng, X. Gu, J. Gao
Topology Dependent Space Filling Curves for Sensor Networks and Applications
Proc. of the 32nd Annual IEEE Conference on Computer Communications (INFOCOM), April, 2013.R. Shi, M. Goswami, J. Gao, X. Gu
Is Random Walk Truly Memoryless - Traffic analysis and Source Location Privacy Under Random Walk
Proc. of the 32nd Annual IEEE Conference on Computer Communications (INFOCOM), April, 2013.R. Jiang, X. Ban, M. Goswami, W. Zeng, J. Gao, X. Gu
Exploration of Path Space using Sensor Network Geometry
Proc. of the 10th International Symposium on Information Processing in Sensor Networks (IPSN), 49-60, April, 2011.
Journals
J. Yao, L. Yi, M. Goswami, C. Chen. A Theoretical Study of Neural Network Expressive Power via Manifold Topology Transactions on Machine Learning Research (TMLR), 2025.
O. Filtser, M. Goswami, J.S.B. Mitchell, V. Polishchuk, On Flipping the Fréchet Distance, Algorithmica (2024).
W. Zhang, Y. Zhang, X. Hu, Y. Yao, M. Goswami, C. Chen, D. Metaxas, Manifold-driven decomposition for adversarial robustness, Frontiers Comput. Sci. 5 (2023).
A. Bishnu, S. Desai, A. Ghosh, M. Goswami, S. Paul, Uniformity of Point Samples in Metric Spaces Using Gap Ratio, SIAM Journal of Discrete Mathematics (2017).
M. Goswami, X. Gu, V. Pingali, G. Telang, Computing Teichmueller Maps between Polygons, Journal of Foundations of Computational Mathematics (JoFOCM), 2015.