Pierre L. Dognin

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 30

Top Topics

Text Generation

Top Venues

Publications

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
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR (2024)
Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR (2024)
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
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR (2024)
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navartil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR (2023)
Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney
The incentive gap in data work in the era of large models. Nat. Mac. Intell. 5 (6) (2023)
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
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) (2022)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73 (2022)
Igor Melnyk, Pierre L. Dognin, Payel Das
Knowledge Graph Generation From Text. EMNLP (Findings) (2022)
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. CoRR (2022)
Igor Melnyk, Pierre L. Dognin, Payel Das
Knowledge Graph Generation From Text. CoRR (2022)
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. NeurIPS (2022)
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
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR (2022)
Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. CoRR (2021)
Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu
Improved Mutual Information Estimation. AAAI (2021)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. ICASSP (2021)
Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. EMNLP (1) (2021)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR (2020)
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
Learning Implicit Text Generation via Feature Matching. CoRR (2020)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. CoRR (2020)
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
DualTKB: A Dual Learning Bridge between Text and Knowledge Base. EMNLP (1) (2020)
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
Learning Implicit Text Generation via Feature Matching. ACL (2020)
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
DualTKB: A Dual Learning Bridge between Text and Knowledge Base. CoRR (2020)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR (2020)
Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
Learning Implicit Generative Models by Matching Perceptual Features. ICCV (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
Improved Adversarial Image Captioning. DGS@ICLR (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
Adversarial Semantic Alignment for Improved Image Captions. CVPR (2019)
Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
Learning Implicit Generative Models by Matching Perceptual Features. CoRR (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
Wasserstein Barycenter Model Ensembling. CoRR (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
Wasserstein Barycenter Model Ensembling. ICLR (Poster) (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
Improved Image Captioning with Adversarial Semantic Alignment. CoRR (2018)
Petr Fousek, Pierre L. Dognin, Vaibhava Goel
Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. ICASSP (2015)
Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
Annealed dropout trained maxout networks for improved LVCSR. ICASSP (2015)
Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel
Direct product based deep belief networks for automatic speech recognition. ICASSP (2013)
Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
Adaptive stereo-based stochastic mapping. INTERSPEECH (2013)
Pierre L. Dognin, Vaibhava Goel
Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. ASRU (2013)
Xiaodong Cui, Jian Xue, Xin Chen, Peder A. Olsen, Pierre L. Dognin, Upendra V. Chaudhari, John R. Hershey, Bowen Zhou
Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages. IEEE Trans. Speech Audio Process. 20 (8) (2012)
Steven J. Rennie, Petr Fousek, Pierre L. Dognin
Factorial Hidden Restricted Boltzmann Machines for noise robust speech recognition. ICASSP (2012)
Steven J. Rennie, Pierre L. Dognin, Petr Fousek
Robust speech recognition using dynamic noise adaptation. ICASSP (2011)
Steven J. Rennie, Pierre L. Dognin, Petr Fousek
Matched-condition robust Dynamic Noise Adaptation. ASRU (2011)
Xiaodong Cui, Jian Xue, Pierre L. Dognin, Upendra V. Chaudhari, Bowen Zhou
Acoustic modeling with bootstrap and restructuring for low-resourced languages. INTERSPEECH (2010)
Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
Restructuring exponential family mixture models. INTERSPEECH (2010)
Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen
A fast, accurate approximation to log likelihood of Gaussian mixture models. ICASSP (2009)
Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
Refactoring acoustic models using variational density approximation. ICASSP (2009)
Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
Refactoring acoustic models using variational expectation-maximization. INTERSPEECH (2009)
Steven J. Rennie, Pierre L. Dognin
Beyond linear transforms: efficient non-linear dynamic adaptation for noise robust speech recognition. INTERSPEECH (2008)
Pierre L. Dognin, Amro El-Jaroudi
A new spectral transformation for speaker normalization. INTERSPEECH (2003)
Spyros Matsoukas, Thomas Colthurst, Owen Kimball, Alex Solomonoff, Fred Richardson, Carl Quillen, Herbert Gish, Pierre L. Dognin
The 2001 BYBLOS English large vocabulary conversational speech recognition system. ICASSP (2002)
Pierre L. Dognin, Amro El-Jaroudi, Jayadev Billa
Parameter optimization for vocal tract length normalization. ICASSP (2000)