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ORCIDSuchismit Mahapatra
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2020 – today
- 2024
[j1]Suchismit Mahapatra, Varun Chandola:
Learning manifolds from non-stationary streams. J. Big Data 11(1): 42 (2024)- 2021
- [c4]Khoa D. Doan
, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy:
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR 2021: 665-674 - [i5]Suchismit Mahapatra, Vladimir Blagojevic, Pablo Bertorello, Prasanna Kumar:
New Methods & Metrics for LFQA tasks. CoRR abs/2112.13432 (2021) - 2020
- [i4]Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen:
Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. CoRR abs/2004.10603 (2020)
2010 – 2019
- 2018
- [b1]Suchismit Mahapatra:
Scalable Nonlinear Spectral Dimensionality Reduction methods for streaming data. University at Buffalo, New York, USA, 2018 - [i3]Suchismit Mahapatra, Varun Chandola:
Learning Manifolds from Non-stationary Streaming Data. CoRR abs/1804.08833 (2018) - 2017
- [c3]Suchismit Mahapatra, Varun Chandola:
S-Isomap++: Multi manifold learning from streaming data. IEEE BigData 2017: 716-725 - [c2]Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola:
Error Metrics for Learning Reliable Manifolds from Streaming Data. SDM 2017: 750-758 - [i2]Suchismit Mahapatra, Varun Chandola:
S-Isomap++: Multi Manifold Learning from Streaming Data. CoRR abs/1710.06462 (2017) - [i1]Suchismit Mahapatra, Varun Chandola:
Modeling Graphs Using a Mixture of Kronecker Models. CoRR abs/1710.07231 (2017) - 2015
- [c1]Suchismit Mahapatra, Varun Chandola:
Modeling graphs using a mixture of Kronecker models. IEEE BigData 2015: 727-736
Coauthor Index
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