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Benchmarking deep generative models for diverse antibody sequence design



Igor Melnyk , Payel Das , Vijil Chenthamarakshan , Aurelie Lozano

* Learning Meaningful Representations of Life Workshop paper at NeurIPS 2021 

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ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models



Pierre L. Dognin , Inkit Padhi , Igor Melnyk , Payel Das

* Accepted to appear in the main conference of EMNLP 2021 

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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

* ICML 2021 

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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 A. Young , Brian Belgodere

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Alleviating Noisy Data in Image Captioning with Cooperative Distillation



Pierre Dognin , Igor Melnyk , Youssef Mroueh , Inkit Padhi , Mattia Rigotti , Jarret Ross , Yair Schiff

* CVPR 2020 VizWiz Challenge 

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Tabular Transformers for Modeling Multivariate Time Series



Inkit Padhi , Yair Schiff , Igor Melnyk , Mattia Rigotti , Youssef Mroueh , Pierre Dognin , Jerret Ross , Ravi Nair , Erik Altman

* Submitted to ICASSP, 2021; https://github.com/IBM/TabFormer 

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DualTKB: A Dual Learning Bridge between Text and Knowledge Base



Pierre L. Dognin , Igor Melnyk , Inkit Padhi , Cicero Nogueira dos Santos , Payel Das

* Equal Contributions of Authors Pierre L. Dognin, Igor Melnyk, and Inkit Padhi. Accepted at EMNLP'20 

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Optimizing Mode Connectivity via Neuron Alignment



N. Joseph Tatro , Pin-Yu Chen , Payel Das , Igor Melnyk , Prasanna Sattigeri , Rongjie Lai

* 24 pages, 9 figures, code available at https://github.com/IBM/NeuronAlignment 

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Wasserstein Barycenter Model Ensembling



Pierre Dognin , Igor Melnyk , Youssef Mroueh , Jerret Ross , Cicero Dos Santos , Tom Sercu

* ICLR 2019 

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Estimating Information Flow in Neural Networks



Ziv Goldfeld , Ewout van den Berg , Kristjan Greenewald , Igor Melnyk , Nam Nguyen , Brian Kingsbury , Yury Polyanskiy


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