Pierre L. Dognin

According to our database, Pierre L. Dognin authored at least 38 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contextual Moral Value Alignment Through Context-Based Aggregation.

Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf

CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.

Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney

CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici

CoRR, 2024

2023

The incentive gap in data work in the era of large models.

Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney

Nat. Mac. Intell., June, 2023

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, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

CoRR, 2023

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

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

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

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.

Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge Graph Generation From Text.

Igor Melnyk, Pierre L. Dognin, Payel Das

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

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 Altman

Proceedings of the IEEE International Conference on Acoustics, 2021

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

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

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

Improved Mutual Information Estimation.

Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu

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

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

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

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

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

Learning Implicit Text Generation via Feature Matching.

Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Wasserstein Barycenter Model Ensembling.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu

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

Improved Adversarial Image Captioning.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

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

Learning Implicit Generative Models by Matching Perceptual Features.

Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Semantic Alignment for Improved Image Captions.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

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

2018

Improved Image Captioning with Adversarial Semantic Alignment.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

CoRR, 2018

2015

Annealed dropout trained maxout networks for improved LVCSR.

Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task.

Petr Fousek, Pierre L. Dognin, Vaibhava Goel

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013

Adaptive stereo-based stochastic mapping.

Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel

Proceedings of the INTERSPEECH 2013, 2013

Direct product based deep belief networks for automatic speech recognition.

Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2013

Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks.

Pierre L. Dognin, Vaibhava Goel

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages.

Xiaodong Cui, Jian Xue, Xin Chen, Peder A. Olsen, Pierre L. Dognin, Upendra V. Chaudhari, John R. Hershey, Bowen Zhou

IEEE Trans. Speech Audio Process., 2012

Factorial Hidden Restricted Boltzmann Machines for noise robust speech recognition.

Steven J. Rennie, Petr Fousek, Pierre L. Dognin

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Robust speech recognition using dynamic noise adaptation.

Steven J. Rennie, Pierre L. Dognin, Petr Fousek

Proceedings of the IEEE International Conference on Acoustics, 2011

Matched-condition robust Dynamic Noise Adaptation.

Steven J. Rennie, Pierre L. Dognin, Petr Fousek

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010

Restructuring exponential family mixture models.

Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen

Proceedings of the INTERSPEECH 2010, 2010

Acoustic modeling with bootstrap and restructuring for low-resourced languages.

Xiaodong Cui, Jian Xue, Pierre L. Dognin, Upendra V. Chaudhari, Bowen Zhou

Proceedings of the INTERSPEECH 2010, 2010

2009

Refactoring acoustic models using variational expectation-maximization.

Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen

Proceedings of the INTERSPEECH 2009, 2009

Refactoring acoustic models using variational density approximation.

Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen

Proceedings of the IEEE International Conference on Acoustics, 2009

A fast, accurate approximation to log likelihood of Gaussian mixture models.

Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Beyond linear transforms: efficient non-linear dynamic adaptation for noise robust speech recognition.

Steven J. Rennie, Pierre L. Dognin

Proceedings of the INTERSPEECH 2008, 2008

2003

A new spectral transformation for speaker normalization.

Pierre L. Dognin, Amro El-Jaroudi

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002

The 2001 BYBLOS English large vocabulary conversational speech recognition system.

Spyros Matsoukas, Thomas Colthurst, Owen Kimball, Alex Solomonoff, Fred Richardson, Carl Quillen, Herbert Gish, Pierre L. Dognin

Proceedings of the IEEE International Conference on Acoustics, 2002

2000

Parameter optimization for vocal tract length normalization.

Pierre L. Dognin, Amro El-Jaroudi, Jayadev Billa

Proceedings of the IEEE International Conference on Acoustics, 2000