Igor Melnyk
Igor Melnyk
IBM Research
Verified email at - Homepage
Cited by
Cited by
Fighting offensive language on social media with unsupervised text style transfer
CN Santos, I Melnyk, I Padhi
arXiv preprint arXiv:1805.07685, 2018
Estimating information flow in deep neural networks
Z Goldfeld, E Berg, K Greenewald, I Melnyk, N Nguyen, B Kingsbury, ...
arXiv preprint arXiv:1810.05728, 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system
K Yeo, I Melnyk
Journal of Computational Physics 376, 1212-1231, 2019
Tabular transformers for modeling multivariate time series
I Padhi, Y Schiff, I Melnyk, M Rigotti, Y Mroueh, P Dognin, J Ross, R Nair, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Estimating structured vector autoregressive models
I Melnyk, A Banerjee
International Conference on Machine Learning, 830-839, 2016
Optimizing mode connectivity via neuron alignment
N Tatro, PY Chen, P Das, I Melnyk, P Sattigeri, R Lai
Advances in Neural Information Processing Systems 33, 15300-15311, 2020
R2n2: Residual recurrent neural networks for multivariate time series forecasting
H Goel, I Melnyk, A Banerjee
arXiv preprint arXiv:1709.03159, 2017
Vector autoregressive model-based anomaly detection in aviation systems
I Melnyk, B Matthews, H Valizadegan, A Banerjee, N Oza
Journal of Aerospace Information Systems 13 (4), 161-173, 2016
Semi-Markov switching vector autoregressive model-based anomaly detection in aviation systems
I Melnyk, A Banerjee, B Matthews, N Oza
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Image captioning as an assistive technology: lessons learned from VizWiz 2020 challenge
P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ...
Journal of Artificial Intelligence Research 73, 437-459, 2022
Adversarial semantic alignment for improved image captions
P Dognin, I Melnyk, Y Mroueh, J Ross, T Sercu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Cooperative vision-aided inertial navigation using overlapping views
IV Melnyk, JA Hesch, SI Roumeliotis
2012 IEEE International Conference on Robotics and Automation, 936-943, 2012
Wasserstein barycenter model ensembling
P Dognin, I Melnyk, Y Mroueh, J Ross, CD Santos, T Sercu
arXiv preprint arXiv:1902.04999, 2019
Fold2seq: A joint sequence (1d)-fold (3d) embedding-based generative model for protein design
Y Cao, P Das, V Chenthamarakshan, PY Chen, I Melnyk, Y Shen
International Conference on Machine Learning, 1261-1271, 2021
Improved neural text attribute transfer with non-parallel data
I Melnyk, CN Santos, K Wadhawan, I Padhi, A Kumar
arXiv preprint arXiv:1711.09395, 2017
Detection of precursors to aviation safety incidents due to human factors
I Melnyk, P Yadav, M Steinbach, J Srivastava, V Kumar, A Banerjee
2013 IEEE 13th International Conference on Data Mining Workshops, 407-412, 2013
Benchmarking deep generative models for diverse antibody sequence design
I Melnyk, P Das, V Chenthamarakshan, A Lozano
arXiv preprint arXiv:2111.06801, 2021
Knowledge Graph Generation From Text
I Melnyk, P Dognin, P Das
arXiv preprint arXiv:2211.10511, 2022
Multivariate aviation time series modeling: VARs vs. LSTMs
H Goel, I Melnyk, N Oza, B Matthews, A Banerjee
Unpublished manuscript Retrieved from https://www% 20semanticscholar% 20org …, 2016
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
I Melnyk, V Chenthamarakshan, PY Chen, P Das, A Dhurandhar, I Padhi, ...
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