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ORCIDAshwinkumar Ganesan
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Journal Articles
- 2019
[j2]Ali Jafari
, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin:
SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(1): 274-287 (2019)- 2013
- [j1]David R. Riley, Karsten B. Sieber, Kelly M. Robinson, James Robert White, Ashwinkumar Ganesan, Syrus Nourbakhsh, Julie C. Dunning Hotopp:
Bacteria-Human Somatic Cell Lateral Gene Transfer Is Enriched in Cancer Samples. PLoS Comput. Biol. 9(6) (2013)
Conference and Workshop Papers
- 2023
- [c11]Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha, Daniel Zhang, Ashwinkumar Ganesan:
Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies. IWSLT@ACL 2023: 241-250 - 2022
- [c10]Daniel Zhang, Ashwinkumar Ganesan, Sarah Campbell, Daniel Korzekwa:
L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis. INTERSPEECH 2022: 4317-4321 - [c9]Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev:
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. IWSLT@ACL 2022: 225-231 - [c8]Daniel Zhang, Jiang Yu, Pragati Verma, Ashwinkumar Ganesan, Sarah Campbell:
Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies. IWSLT@ACL 2022: 351-360 - 2021
- [c7]Ashwinkumar Ganesan, Francis Ferraro, Tim Oates:
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. ACL/IJCNLP (Findings) 2021: 3132-3139 - [c6]Akshay Peshave, Ashwinkumar Ganesan, Tim Oates:
Predicting Network Threat Events Using HMM Ensembles. ADMA 2021: 229-240 - [c5]Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean:
Learning with Holographic Reduced Representations. NeurIPS 2021: 25606-25620 - 2020
- [c4]Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin:
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI 2020: 153-161 - 2019
- [c3]Komal Sharan, Ashwinkumar Ganesan, Tim Oates:
Improving Visual Reasoning with Attention Alignment. ISVC (1) 2019: 219-230 - 2018
- [c2]Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin:
Early Detection of Cybersecurity Threats Using Collaborative Cognition. CIC 2018: 354-363 - 2017
- [c1]Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates:
Identifying spatial relations in images using convolutional neural networks. IJCNN 2017: 3593-3600
Informal and Other Publications
- 2021
- [i10]Ashwinkumar Ganesan, Francis Ferraro, Tim Oates:
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. CoRR abs/2107.00124 (2021) - [i9]Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean:
Learning with Holographic Reduced Representations. CoRR abs/2109.02157 (2021) - 2020
- [i8]Ashwinkumar Ganesan, Frank Ferraro, Tim Oates:
Locality Preserving Loss to Align Vector Spaces. CoRR abs/2004.03734 (2020) - 2019
- [i7]Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, Zhiyuan Chen, Tim Oates:
Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning. CoRR abs/1903.12101 (2019) - [i6]Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates:
Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter. CoRR abs/1909.05890 (2019) - 2018
- [i5]Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin:
Cognitive Techniques for Early Detection of Cybersecurity Events. CoRR abs/1808.00116 (2018) - 2017
- [i4]Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates:
Identifying Spatial Relations in Images using Convolutional Neural Networks. CoRR abs/1706.04215 (2017) - [i3]Prutha Date, Ashwinkumar Ganesan, Tim Oates:
Fashioning with Networks: Neural Style Transfer to Design Clothes. CoRR abs/1707.09899 (2017) - 2016
- [i2]Ashwinkumar Ganesan, Tim Oates, Matt Schmill:
Finding Representative Points in Multivariate Data Using PCA. CoRR abs/1610.05819 (2016) - 2015
- [i1]Ashwinkumar Ganesan, Kianté Brantley, Shimei Pan, Jian Chen:
LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation. CoRR abs/1507.06593 (2015)
Coauthor Index
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