Melnyk, Igor

18 publications

NeurIPS 2024 Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross

ICMLW 2024 Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross

ICML 2024 Larimar: Large Language Models with Episodic Memory Control Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurelie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jiri Navratil, Soham Dan, Pin-Yu Chen

ICML 2024 Risk Aware Benchmarking of Large Language Models Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jarret Ross

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

NeurIPSW 2023 Risk Assessment and Statistical Significance in the Age of Foundation Models Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jarret Ross

ECML-PKDD 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

JAIR 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

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

NeurIPSW 2021 Grapher: Multi-Stage Knowledge Graph Construction Using Pretrained Language Models Igor Melnyk, Pierre Dognin, Payel Das

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

NeurIPS 2020 Optimizing Mode Connectivity via Neuron Alignment Norman Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai

ICML 2019 Estimating Information Flow in Deep Neural Networks Ziv Goldfeld, Ewout Van Den Berg, Kristjan Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy

ICLRW 2019 Improved Adversarial Image Captioning Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Tom Sercu

ICLR 2019 Wasserstein Barycenter Model Ensembling Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu

JMLR 2017 A Spectral Algorithm for Inference in Hidden Semi-Markov Models Igor Melnyk, Arindam Banerjee

ICML 2016 Estimating Structured Vector Autoregressive Models Igor Melnyk, Arindam Banerjee

AISTATS 2015 A Spectral Algorithm for Inference in Hidden Semi-Markov Models Igor Melnyk, Arindam Banerjee