Detection of Precursors to Aviation Safety Incidents Due to Human Factors. - Igor Melnyk; Pranjul Yadav; Michael S. Steinbach; Jaideep Srivastava; Vipin Kumar 001; Arindam Banerjee 001 (ICDM Workshops, 2013)

Waste heat transport models for green clouds. - Igor Melnyk; Larisa S. Globa; Andriy Luntovskyy (BlackSeaCom, 2016)

Estimating Structured Vector Autoregressive Models. - Igor Melnyk; Arindam Banerjee 001 (ICML, 2016)

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. - Igor Melnyk; Arindam Banerjee 001; Bryan L. Matthews; Nikunj C. Oza (KDD, 2016)

Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. - Igor Melnyk; Bryan L. Matthews; Hamed Valizadegan; Arindam Banerjee 001; Nikunj C. Oza (J. Aerosp. Inf. Syst., 2016)

SenGen: Sentence Generating Neural Variational Topic Model. - Ramesh Nallapati; Igor Melnyk; Abhishek Kumar; Bowen Zhou (CoRR, 2017)

R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting. - Hardik Goel; Igor Melnyk; Arindam Banerjee 001 (CoRR, 2017)

Improved Neural Text Attribute Transfer with Non-parallel Data. - Igor Melnyk; Cícero Nogueira dos Santos; Kahini Wadhawan; Inkit Padhi; Abhishek Kumar (CoRR, 2017)

A Spectral Algorithm for Inference in Hidden semi-Markov Models. - Igor Melnyk; Arindam Banerjee 001 (J. Mach. Learn. Res., 2017)

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer. - Cícero Nogueira dos Santos; Igor Melnyk; Inkit Padhi (ACL (2), 2018)

DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series. - Kyongmin Yeo; Igor Melnyk; Nam Nguyen; Eun Kyung Lee (ICDM, 2018)

Improved Image Captioning with Adversarial Semantic Alignment. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (CoRR, 2018)

Estimating Information Flow in Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (CoRR, 2018)

Adversarial Semantic Alignment for Improved Image Captions. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (CVPR, 2019)

Improved Adversarial Image Captioning. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (DGS@ICLR, 2019)

Wasserstein Barycenter Model Ensembling. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Cícero Nogueira dos Santos; Tom Sercu (ICLR (Poster), 2019)

Estimating Information Flow in Deep Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (ICML, 2019)

Deep learning algorithm for data-driven simulation of noisy dynamical system. - Kyongmin Yeo; Igor Melnyk (J. Comput. Phys., 2019)

DualTKB: A Dual Learning Bridge between Text and Knowledge Base. - Pierre L. Dognin; Igor Melnyk; Inkit Padhi; Cícero Nogueira dos Santos; Payel Das (EMNLP (1), 2020)

Optimizing Mode Connectivity via Neuron Alignment. - N. Joseph Tatro; Pin-Yu Chen; Payel Das; Igor Melnyk; Prasanna Sattigeri; Rongjie Lai (NeurIPS, 2020)

Alleviating Noisy Data in Image Captioning with Cooperative Distillation. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff (CoRR, 2020)

Improved Mutual Information Estimation. - Youssef Mroueh; Igor Melnyk; Pierre L. Dognin; Jarret Ross; Tom Sercu (AAAI, 2021)

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. - Pierre L. Dognin; Inkit Padhi; Igor Melnyk; Payel Das (EMNLP (1), 2021)

Tabular Transformers for Modeling Multivariate Time Series. - Inkit Padhi; Yair Schiff; Igor Melnyk; Mattia Rigotti; Youssef Mroueh; Pierre L. Dognin; Jerret Ross; Ravi Nair; Erik R. Altman (ICASSP, 2021)

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design. - Yue Cao 010; Payel Das; Vijil Chenthamarakshan; Pin-Yu Chen; Igor Melnyk; Yang Shen 001 (ICML, 2021)

Benchmarking deep generative models for diverse antibody sequence design. - Igor Melnyk; Payel Das; Vijil Chenthamarakshan; Aurélie C. Lozano (CoRR, 2021)

Knowledge Graph Generation From Text. - Igor Melnyk; Pierre L. Dognin; Payel Das (EMNLP (Findings), 2022)

Cloud-Based Real-Time Molecular Screening Platform with MolFormer. - Brian Belgodere; Vijil Chenthamarakshan; Payel Das; Pierre L. Dognin; Toby Kurien; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff; Richard A. Young (ECML/PKDD (6), 2022)

AlphaFold Distillation for Improved Inverse Protein Folding. - Igor Melnyk; Aurélie C. Lozano; Payel Das; Vijil Chenthamarakshan (CoRR, 2022)

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

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff; Richard A. Young; Brian Belgodere (J. Artif. Intell. Res., 2022)

Reprogramming Pretrained Language Models for Antibody Sequence Infilling. - Igor Melnyk; Vijil Chenthamarakshan; Pin-Yu Chen; Payel Das; Amit Dhurandhar; Inkit Padhi; Devleena Das (ICML, 2023)

5G and Beyond: Shannon's Channel Capacity. - Andriy Luntovskyy; Igor Melnyk; Alina Pochynok (IDT, 2023)

Approximation of the Boundary Trajectory of a Short-Focus Electron Beam using Third-Order Root-Polynomial Functions and Recurrent Matrixes Approach. - Igor Melnyk; Serhii Tuhai; Mykhailo Skrypka; Alina Pochynok; Dmytro Kovalchuk (IDT, 2023)

Risk Assessment and Statistical Significance in the Age of Foundation Models. - Apoorva Nitsure; Youssef Mroueh; Mattia Rigotti; Kristjan H. Greenewald; Brian Belgodere; Mikhail Yurochkin; Jirí Navrátil 001; Igor Melnyk; Jerret Ross (CoRR, 2023)

Larimar: Large Language Models with Episodic Memory Control. - Payel Das; Subhajit Chaudhury; Elliot Nelson; Igor Melnyk; Sarathkrishna Swaminathan; Sihui Dai; Aurélie C. Lozano; Georgios Kollias; Vijil Chenthamarakshan; Jirí Navrátil 001; Soham Dan; Pin-Yu Chen (ICML, 2024)

Risk Aware Benchmarking of Large Language Models. - Apoorva Nitsure; Youssef Mroueh; Mattia Rigotti; Kristjan H. Greenewald; Brian Belgodere; Mikhail Yurochkin; Jirí Navrátil 001; Igor Melnyk; Jarret Ross (ICML, 2024)

Distributional Preference Alignment of LLMs via Optimal Transport. - Igor Melnyk; Youssef Mroueh; Brian Belgodere; Mattia Rigotti; Apoorva Nitsure; Mikhail Yurochkin; Kristjan H. Greenewald; Jirí Navrátil 001; Jarret Ross (NeurIPS, 2024)

Larimar: Large Language Models with Episodic Memory Control. - Payel Das; Subhajit Chaudhury; Elliot Nelson; Igor Melnyk; Sarath Swaminathan; Sihui Dai; Aurélie C. Lozano; Georgios Kollias; Vijil Chenthamarakshan; Jirí Navrátil 001; Soham Dan; Pin-Yu Chen (CoRR, 2024)

Distributional Preference Alignment of LLMs via Optimal Transport. - Igor Melnyk; Youssef Mroueh; Brian Belgodere; Mattia Rigotti; Apoorva Nitsure; Mikhail Yurochkin; Kristjan H. Greenewald; Jirí Navrátil 001; Jerret Ross (CoRR, 2024)

Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. - Brian Belgodere; Pierre L. Dognin; Adam Ivankay; Igor Melnyk; Youssef Mroueh; Aleksandra Mojsilovic; Jirí Navrátil 001; Apoorva Nitsure; Inkit Padhi; Mattia Rigotti; Jerret Ross; Yair Schiff; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. - Subhajit Chaudhury; Payel Das; Sarathkrishna Swaminathan; Georgios Kollias; Elliot Nelson; Khushbu Pahwa; Tejaswini Pedapati; Igor Melnyk; Matthew Riemer (ACL (1), 2025)