Igor Melnyk  Igor Melnyk photo         

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Research Scientist, IBM Research AI
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash2921

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2022

AlphaFold Distillation for Improved Inverse Protein Folding
Igor Melnyk, Aurelie Lozano, Payel Das, Vijil Chenthamarakshan
2022

Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, and Devleena Das
2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer
Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, and Richard A. Young
ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Knowledge Graph Generation From Text
Igor Melnyk, Pierre Dognin, Payel Das
EMNLP: Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022


2021

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard Young and Brian Belgodere
JAIR: Journal of Artificial Intelligence Research, 2021

Benchmarking deep generative models for diverse antibody sequence design
Igor Melnyk, Payel Das, Enara Vijil, and Aurelie Lozano
NeurIPS: Learning Meaningful Representations of Life, 2021

Grapher: Multi-Stage Knowledge Graph Construction using Pretrained Language Models
Igor Melnyk, Pierre Dognin, and Payel Das
NeurIPS: Deep Generative Models and Downstream Applications, 2021

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
Pierre Dognin, Inkit Padhi, Igor Melnyk, and Payel Das
EMNLP: Conference on Empirical Methods in Natural Language Processing, 2021

Tabular Transformers for Modeling Multivariate Time Series
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre Dognin, Jerret Ross, Ravi Nair, and Erik Altman
ICASSP: International Conference on Acoustics, Speech, and Signal Processing, 2021

Improved Mutual Information Estimation
Youssef Mroueh, Igor Melnyk, Pierre Dognin, Jarret Ross, and Tom Sercu
AAAI: Association for the Advancement of Artificial Intelligence, 2021


2020

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard Young, and Brian Belgodere
2020

Alleviating Noisy Data in Image Captioning with Cooperative Distillation
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, and Jarret Ross
CVPR: VizWiz Workshop, 2020

Optimizing Mode Connectivity via Neuron Alignment
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, and Rongjie Lai
NeurIPS: Neural Information Processing Systems, 2020

DualTKB: A Dual Learning Bridge between Text and Knowledge Base
Pierre Dognin, Igor Melnyk, Inkit Padhi, Cicero Nogueira dos Santos, and Payel Das
EMNLP: Conference on Empirical Methods in Natural Language Processing, 2020


2019

Adversarial Semantic Alignment for Improved Image Captions
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross and Tom Sercu
CVPR: Conference on Computer Vision and Pattern Recognition, 2019

Wasserstein Barycenter Model Ensembling
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
ICLR: International Conference on Learning Representations, 2019

Estimating Information Flow in Neural Networks
Ziv Goldfeld, Ewout van den Berg, Kristjan Greenewald, Brian Kingsbury, Igor Melnyk, Nam Nguyen, Yury Polyanskiy
ICML: International Conference on Machine Learning, 2019

Improved Adversarial Image Captioning
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross and Tom Sercu
ICLR Workshop on Deep Generative Models, 2019


2018


Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi
ACL: Association for Computational Linguistics, 2018

DE-RNN: Forecasting the probability density function of nonlinear time series
Kyongmin Yeo, Igor Melnyk, Nam Nguyen
ICDM: International Conference on Data Mining, 2018


2017

Improved Neural Text Attribute Transfer with Non-parallel Data
Igor Melnyk, Cicero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar
NIPS 2017 Workshop on Learning Disentangled Representations: from Perception to Control

SenGen: Sentence Generating Neural Variational Topic Model
Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou
Workshop on Generating Natural Language at ICML, 2017

A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
JMLR: Journal of Machine Learning Research, 2017



2016


Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems
Igor Melnyk, Arindam Banerjee, Bryan Matthews, Nikunj Oza
KDD: Conference on Knowledge Discovery and Data Mining, 2016

Estimating Structured Vector Autoregressive Models
Igor Melnyk, Arindam Banerjee
ICML: International Conference on Machine Learning, 2016

Vector Autoregressive Model-based Anomaly Detection in Aviation Systems
Igor Melnyk, Bryan Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj Oza.
JAIS: Journal of Aerospace Information Systems, 2016


2015

A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
AISTATS: Artificial Intelligence and Statistics Conference, 2015


2013

Detection of Precursors to Aviation Safety Incidents Due to Human Factors
Igor Melnyk, Pranjul Yadav, Michael Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee
ICDM: International Conference on Data Mining, 2013


2012

Cooperative Vision-aided Inertial Navigation using Overlapping Views
Igor Melnyk, Joel Hesch, Stergios Roumeliotis
ICRA: International Conference on Robotics and Automation, 2012