Igor Melnyk

61 papers A* 12A 1Misc 1Journal 35Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting RAG Retrievers: An Information Theoretic Benchmark.
CoRR
Wenqing Zheng, Dmitri Kalaev, Noah Fatsi, Daniel Barcklow, Owen Reinert, Igor Melnyk, Senthil Kumar, C. Bayan Bruss
2025 J jnl
Bridging the Divide: End-to-End Sequence-Graph Learning.
CoRR
Yuen Chen, Yulun Wu, Samuel Sharpe, Igor Melnyk, Nam H. Nguyen, Furong Huang, C. Bayan Bruss, Rizal Fathony
2025 — conf
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts.
ACL (1)
Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer
2025 J jnl
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts.
CoRR
Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer
2025 J jnl
Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks.
CoRR
Rizal Fathony, Igor Melnyk, Owen Reinert, Nam H. Nguyen, Daniele Rosa, C. Bayan Bruss
2024 J jnl
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2024 A* conf
Distributional Preference Alignment of LLMs via Optimal Transport.
NeurIPS
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jarret Ross
2024 J jnl
Distributional Preference Alignment of LLMs via Optimal Transport.
CoRR
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross
2024 A* conf
Larimar: Large Language Models with Episodic Memory Control.
ICML
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024 J jnl
Larimar: Large Language Models with Episodic Memory Control.
CoRR
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024 A* conf
Risk Aware Benchmarking of Large Language Models.
ICML
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross
2023 — conf
5G and Beyond: Shannon's Channel Capacity.
IDT
Andriy Luntovskyy, Igor Melnyk, Alina Pochynok
2023 — conf
Approximation of the Boundary Trajectory of a Short-Focus Electron Beam using Third-Order Root-Polynomial Functions and Recurrent Matrixes Approach.
IDT
Igor Melnyk, Serhii Tuhai, Mykhailo Skrypka, Alina Pochynok, Dmytro Kovalchuk
2023 J jnl
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023 A* conf
Reprogramming Pretrained Language Models for Antibody Sequence Infilling.
ICML
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2023 J jnl
Risk Assessment and Statistical Significance in the Age of Foundation Models.
CoRR
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross
2022 J jnl
AlphaFold Distillation for Improved Inverse Protein Folding.
CoRR
Igor Melnyk, Aurélie C. Lozano, Payel Das, Vijil Chenthamarakshan
2022 — conf
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
ECML/PKDD (6)
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
2022 J jnl
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
CoRR
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
2022 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
J. Artif. Intell. Res.
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2022 — conf
Knowledge Graph Generation From Text.
EMNLP (Findings)
Igor Melnyk, Pierre L. Dognin, Payel Das
2022 J jnl
Knowledge Graph Generation From Text.
CoRR
Igor Melnyk, Pierre L. Dognin, Payel Das
2022 J jnl
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling.
CoRR
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2021 J jnl
Benchmarking deep generative models for diverse antibody sequence design.
CoRR
Igor Melnyk, Payel Das, Vijil Chenthamarakshan, Aurélie C. Lozano
2021 A* conf
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
ICML
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
2021 J jnl
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
CoRR
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
2021 A* conf
Improved Mutual Information Estimation.
AAAI
Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu
2021 — conf
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models.
EMNLP (1)
Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
2021 J jnl
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models.
CoRR
Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
2021 Misc conf
Tabular Transformers for Modeling Multivariate Time Series.
ICASSP
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020 J jnl
Alleviating Noisy Data in Image Captioning with Cooperative Distillation.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
2020 — conf
DualTKB: A Dual Learning Bridge between Text and Knowledge Base.
EMNLP (1)
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
2020 J jnl
DualTKB: A Dual Learning Bridge between Text and Knowledge Base.
CoRR
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
2020 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2020 A* conf
Optimizing Mode Connectivity via Neuron Alignment.
NeurIPS
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai
2020 J jnl
Optimizing Mode Connectivity via Neuron Alignment.
CoRR
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai
2020 J jnl
Tabular Transformers for Modeling Multivariate Time Series.
CoRR
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2019 A* conf
Adversarial Semantic Alignment for Improved Image Captions.
CVPR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2019 J jnl
Deep learning algorithm for data-driven simulation of noisy dynamical system.
J. Comput. Phys.
Kyongmin Yeo, Igor Melnyk
2019 A* conf
Estimating Information Flow in Deep Neural Networks.
ICML
Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
2019 — conf
Improved Adversarial Image Captioning.
DGS@ICLR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2019 — conf
Wasserstein Barycenter Model Ensembling.
ICLR (Poster)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
2019 J jnl
Wasserstein Barycenter Model Ensembling.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
2018 A* conf
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series.
ICDM
Kyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun Kyung Lee
2018 J jnl
Deep learning algorithm for data-driven simulation of noisy dynamical system.
CoRR
Kyongmin Yeo, Igor Melnyk
2018 J jnl
Estimating Information Flow in Neural Networks.
CoRR
Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
2018 — conf
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.
ACL (2)
Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi
2018 J jnl
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.
CoRR
Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi
2018 J jnl
Improved Image Captioning with Adversarial Semantic Alignment.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2017 J jnl
A Spectral Algorithm for Inference in Hidden semi-Markov Models.
J. Mach. Learn. Res.
Igor Melnyk, Arindam Banerjee
2017 J jnl
Improved Neural Text Attribute Transfer with Non-parallel Data.
CoRR
Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar
2017 J jnl
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting.
CoRR
Hardik Goel, Igor Melnyk, Arindam Banerjee
2017 J jnl
SenGen: Sentence Generating Neural Variational Topic Model.
CoRR
Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou
2016 A* conf
Estimating Structured Vector Autoregressive Models.
ICML
Igor Melnyk, Arindam Banerjee
2016 A* conf
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
KDD
Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza
2016 J jnl
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems.
CoRR
Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza
2016 J jnl
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
J. Aerosp. Inf. Syst.
Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza
2016 — conf
Waste heat transport models for green clouds.
BlackSeaCom
Igor Melnyk, Larisa S. Globa, Andriy Luntovskyy
2015 A conf
A Spectral Algorithm for Inference in Hidden semi-Markov Models.
AISTATS
Igor Melnyk, Arindam Banerjee
2014 J jnl
A Spectral Algorithm for Inference in Hidden Semi-Markov Models.
CoRR
Igor Melnyk, Arindam Banerjee
2013 — conf
Detection of Precursors to Aviation Safety Incidents Due to Human Factors.
ICDM Workshops
Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee