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Vaishnavi Patil

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2020 – today

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2023
[c3]
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  - conf/icann/EvanusaPGGFA23
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Matthew S. Evanusa, Vaishnavi Patil, Michelle Girvan, Joel Goodman, Cornelia Fermüller, Yiannis Aloimonos:
t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks. ICANN (6) 2023: 140-151
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  - journals/corr/abs-2305-09092
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Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement. CoRR abs/2305.09092 (2023)
2022
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Matthew Evanusa, Snehesh Shrestha, Vaishnavi Patil, Cornelia Fermüller, Michelle Girvan, Yiannis Aloimonos:
Deep-Readout Random Recurrent Neural Networks for Real-World Temporal Data. SN Comput. Sci. 3(3): 222 (2022)
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Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
DOT-VAE: Disentangling One Factor at a Time. ICANN (1) 2022: 109-120
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Jagabandhu Mishra, Joshitha Gandra, Vaishnavi Patil, S. R. Mahadeva Prasanna:
Issues in Sub-Utterance Level Language Identification in a Code Switched Bilingual Scenario. SPCOM 2022: 1-5
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  - journals/corr/abs-2210-10920
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Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
DOT-VAE: Disentangling One Factor at a Time. CoRR abs/2210.10920 (2022)

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