Parameter optimization for vocal tract length normalization. - Pierre L. Dognin; Amro El-Jaroudi; Jayadev Billa (ICASSP, 2000)

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 (ICASSP, 2002)

A new spectral transformation for speaker normalization. - Pierre L. Dognin; Amro El-Jaroudi (INTERSPEECH, 2003)

Beyond linear transforms: efficient non-linear dynamic adaptation for noise robust speech recognition. - Steven J. Rennie; Pierre L. Dognin (INTERSPEECH, 2008)

A fast, accurate approximation to log likelihood of Gaussian mixture models. - Pierre L. Dognin; Vaibhava Goel; John R. Hershey; Peder A. Olsen (ICASSP, 2009)

Refactoring acoustic models using variational density approximation. - Pierre L. Dognin; John R. Hershey; Vaibhava Goel; Peder A. Olsen (ICASSP, 2009)

Refactoring acoustic models using variational expectation-maximization. - Pierre L. Dognin; John R. Hershey; Vaibhava Goel; Peder A. Olsen (INTERSPEECH, 2009)

Acoustic modeling with bootstrap and restructuring for low-resourced languages. - Xiaodong Cui; Jian Xue; Pierre L. Dognin; Upendra V. Chaudhari; Bowen Zhou 006 (INTERSPEECH, 2010)

Restructuring exponential family mixture models. - Pierre L. Dognin; John R. Hershey; Vaibhava Goel; Peder A. Olsen (INTERSPEECH, 2010)

Matched-condition robust Dynamic Noise Adaptation. - Steven J. Rennie; Pierre L. Dognin; Petr Fousek (ASRU, 2011)

Robust speech recognition using dynamic noise adaptation. - Steven J. Rennie; Pierre L. Dognin; Petr Fousek (ICASSP, 2011)

Factorial Hidden Restricted Boltzmann Machines for noise robust speech recognition. - Steven J. Rennie; Petr Fousek; Pierre L. Dognin (ICASSP, 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 006 (IEEE Trans. Speech Audio Process., 2012)

Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. - Pierre L. Dognin; Vaibhava Goel (ASRU, 2013)

Direct product based deep belief networks for automatic speech recognition. - Petr Fousek; Steven J. Rennie; Pierre L. Dognin; Vaibhava Goel (ICASSP, 2013)

Adaptive stereo-based stochastic mapping. - Shay Maymon; Pierre L. Dognin; Xiaodong Cui; Vaibhava Goel (INTERSPEECH, 2013)

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. - Petr Fousek; Pierre L. Dognin; Vaibhava Goel (ICASSP, 2015)

Annealed dropout trained maxout networks for improved LVCSR. - Steven J. Rennie; Pierre L. Dognin; Xiaodong Cui; Vaibhava Goel (ICASSP, 2015)

Improved Image Captioning with Adversarial Semantic Alignment. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (CoRR, 2018)

Adversarial Semantic Alignment for Improved Image Captions. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (CVPR, 2019)

Learning Implicit Generative Models by Matching Perceptual Features. - Cícero Nogueira dos Santos; Youssef Mroueh; Inkit Padhi; Pierre L. Dognin (ICCV, 2019)

Improved Adversarial Image Captioning. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (DGS@ICLR, 2019)

Wasserstein Barycenter Model Ensembling. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Cícero Nogueira dos Santos; Tom Sercu (ICLR (Poster), 2019)

Learning Implicit Text Generation via Feature Matching. - Inkit Padhi; Pierre L. Dognin; Ke Bai; Cícero Nogueira dos Santos; Vijil Chenthamarakshan; Youssef Mroueh; Payel Das (ACL, 2020)

DualTKB: A Dual Learning Bridge between Text and Knowledge Base. - Pierre L. Dognin; Igor Melnyk; Inkit Padhi; Cícero Nogueira dos Santos; Payel Das (EMNLP (1), 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)

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

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. - Pierre L. Dognin; Inkit Padhi; Igor Melnyk; Payel Das (EMNLP (1), 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 R. Altman (ICASSP, 2021)

Knowledge Graph Generation From Text. - Igor Melnyk; Pierre L. Dognin; Payel Das (EMNLP (Findings), 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 (NeurIPS, 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 (ECML/PKDD (6), 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)

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., 2023)

Value Alignment from Unstructured Text. - Inkit Padhi; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Manish Nagireddy; Pierre L. Dognin; Kush R. Varshney (EMNLP (Industry Track), 2024)

ComVas: Contextual Moral Values Alignment System. - Inkit Padhi; Pierre L. Dognin; Jesus Rios; Ronny Luss; Swapnaja Achintalwar; Matthew Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (IJCAI, 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 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

Contextual Moral Value Alignment Through Context-Based Aggregation. - Pierre L. Dognin; Jesus Rios; Ronny Luss; Inkit Padhi; Matthew D. Riemer; Miao Liu 001; Prasanna Sattigeri; Manish Nagireddy; Kush R. Varshney; Djallel Bouneffouf 001 (CoRR, 2024)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Pierre L. Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001 (CoRR, 2024)

Granite Guardian. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martin Santillan Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (CoRR, 2024)

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. - Swapnaja Achintalwar; Ioana Baldini; Djallel Bouneffouf 001; Joan Byamugisha; Maria Chang 001; Pierre L. Dognin; Eitan Farchi; Ndivhuwo Makondo; Aleksandra Mojsilovic; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Inkit Padhi; et al. (IEEE Internet Comput., 2024)

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 001; Apoorva Nitsure; Inkit Padhi; Mattia Rigotti; Jerret Ross; Yair Schiff; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Programming Refusal with Conditional Activation Steering. - Bruce W. Lee; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Erik Miehling; Pierre L. Dognin; Manish Nagireddy; Amit Dhurandhar (ICLR, 2025)

Granite Guardian: Comprehensive LLM Safeguarding. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martín Santillán Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (NAACL (Industry Track), 2025)

Sparsity May Be All You Need: Sparse Random Parameter Adaptation. - Jesus Rios; Pierre L. Dognin; Ronny Luss; Karthikeyan Ramamurthy (CoRR, 2025)