Ashwinkumar Ganesan

According to our database, Ashwinkumar Ganesan authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies.

Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha, Daniel Zhang, Ashwinkumar Ganesan

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

2022

Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies.

Daniel Zhang, Jiang Yu, Pragati Verma, Ashwinkumar Ganesan, Sarah Campbell

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022.

Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis.

Daniel Zhang, Ashwinkumar Ganesan, Sarah Campbell, Daniel Korzekwa

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Learning with Holographic Reduced Representations.

Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predicting Network Threat Events Using HMM Ensembles.

Akshay Peshave, Ashwinkumar Ganesan, Tim Oates

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment.

Ashwinkumar Ganesan, Francis Ferraro, Tim Oates

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Locality Preserving Loss to Align Vector Spaces.

Ashwinkumar Ganesan, Frank Ferraro, Tim Oates

CoRR, 2020

Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints.

Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification.

Ali Jafari, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter.

Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates

CoRR, 2019

Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning.

Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, Zhiyuan Chen, Tim Oates

CoRR, 2019

Improving Visual Reasoning with Attention Alignment.

Komal Sharan, Ashwinkumar Ganesan, Tim Oates

Proceedings of the Advances in Visual Computing, 2019

2018

Cognitive Techniques for Early Detection of Cybersecurity Events.

Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin

CoRR, 2018

Early Detection of Cybersecurity Threats Using Collaborative Cognition.

Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017

Fashioning with Networks: Neural Style Transfer to Design Clothes.

Prutha Date, Ashwinkumar Ganesan, Tim Oates

CoRR, 2017

Identifying spatial relations in images using convolutional neural networks.

Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Finding Representative Points in Multivariate Data Using PCA.

Ashwinkumar Ganesan, Tim Oates, Matt Schmill

CoRR, 2016

2015

LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation.

Ashwinkumar Ganesan, Kianté Brantley, Shimei Pan, Jian Chen

CoRR, 2015

2013

Bacteria-Human Somatic Cell Lateral Gene Transfer Is Enriched in Cancer Samples.

David R. Riley, Karsten B. Sieber, Kelly M. Robinson, James Robert White, Ashwinkumar Ganesan, Syrus Nourbakhsh, Julie C. Dunning Hotopp

PLoS Comput. Biol., 2013