Igor Melnyk

Jirí Navrátil

Jerret Ross

CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.

[BibT_eX]

[DOI]

Jirí Navrátil

Soham Dan

Pin-Yu Chen

CoRR, 2024

Risk Aware Benchmarking of Large Language Models.

[BibT_eX]

[DOI]

Apoorva Nitsure

Youssef Mroueh

Mattia Rigotti

Sarathkrishna Swaminathan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Larimar: Large Language Models with Episodic Memory Control.

[BibT_eX]

[DOI]

Sihui Dai

Aurélie C. Lozano

Georgios Kollias

Jirí Navrátil

Soham Dan

Pin-Yu Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Risk Assessment and Statistical Significance in the Age of Foundation Models.

[BibT_eX]

[DOI]

Apoorva Nitsure

Youssef Mroueh

Mattia Rigotti

CoRR, 2023

Approximation of the Boundary Trajectory of a Short-Focus Electron Beam using Third-Order Root-Polynomial Functions and Recurrent Matrixes Approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Digital Technologies, 2023

5G and Beyond: Shannon's Channel Capacity.

[BibT_eX]

[DOI]

Andriy Luntovskyy

Alina Pochynok

Proceedings of the International Conference on Information and Digital Technologies, 2023

Reprogramming Pretrained Language Models for Antibody Sequence Infilling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling.

[BibT_eX]

[DOI]

CoRR, 2022

AlphaFold Distillation for Improved Inverse Protein Folding.

[BibT_eX]

[DOI]

Aurélie C. Lozano

CoRR, 2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer.

[BibT_eX]

[DOI]

Brian Belgodere

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Knowledge Graph Generation From Text.

[BibT_eX]

[DOI]

Pierre L. Dognin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Benchmarking deep generative models for diverse antibody sequence design.

[BibT_eX]

[DOI]

Aurélie C. Lozano

CoRR, 2021

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.

[BibT_eX]

[DOI]

Yue Cao

Pin-Yu Chen

Yang Shen

Proceedings of the 38th International Conference on Machine Learning, 2021

Tabular Transformers for Modeling Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improved Mutual Information Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Alleviating Noisy Data in Image Captioning with Cooperative Distillation.

[BibT_eX]

[DOI]

CoRR, 2020

Optimizing Mode Connectivity via Neuron Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DualTKB: A Dual Learning Bridge between Text and Knowledge Base.

[BibT_eX]

[DOI]

Pierre L. Dognin

Inkit Padhi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Deep learning algorithm for data-driven simulation of noisy dynamical system.

[BibT_eX]

[DOI]

Kyongmin Yeo

J. Comput. Phys., 2019

Estimating Information Flow in Deep Neural Networks.

[BibT_eX]

[DOI]

Ziv Goldfeld

Ewout van den Berg

Proceedings of the 36th International Conference on Machine Learning, 2019

Wasserstein Barycenter Model Ensembling.

[BibT_eX]

[DOI]

Tom Sercu

Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Adversarial Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Adversarial Semantic Alignment for Improved Image Captions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Estimating Information Flow in Neural Networks.

[BibT_eX]

[DOI]

Ziv Goldfeld

Ewout van den Berg

CoRR, 2018

Improved Image Captioning with Adversarial Semantic Alignment.

[BibT_eX]

[DOI]

CoRR, 2018

DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.

[BibT_eX]

[DOI]

Inkit Padhi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Spectral Algorithm for Inference in Hidden semi-Markov Models.

[BibT_eX]

[DOI]

Arindam Banerjee

J. Mach. Learn. Res., 2017

Improved Neural Text Attribute Transfer with Non-parallel Data.

[BibT_eX]

[DOI]

Kahini Wadhawan

Inkit Padhi

Abhishek Kumar

CoRR, 2017

R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Hardik Goel

Arindam Banerjee

CoRR, 2017

SenGen: Sentence Generating Neural Variational Topic Model.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2016

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Estimating Structured Vector Autoregressive Models.

[BibT_eX]

[DOI]

Arindam Banerjee

Proceedings of the 33nd International Conference on Machine Learning, 2016

Waste heat transport models for green clouds.

[BibT_eX]

[DOI]