Pierre L. Dognin

63 papers A* 7A 6C 2Misc 11Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Steerability 360: A Toolkit for Steering Large Language Models. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Irene Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney
2025	Misc	`conf`	Contextual Value Alignment. ICASSP Pierre L. Dognin, Jesus Rios, Ronny Luss, Prasanna Sattigeri, Miao Liu, Inkit Padhi, Matthew Riemer, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2025	—	`conf`	Evaluating the Prompt Steerability of Large Language Models. NAACL (Long Papers) Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Kush R. Varshney, Eitan Farchi, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu, Prasanna Sattigeri
2025	—	`conf`	Granite Guardian: Comprehensive LLM Safeguarding. NAACL (Industry Track) 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, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2025	A*	`conf`	Programming Refusal with Conditional Activation Steering. ICLR Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2025	—	`conf`	Sparsity May Be All You Need: Sparse Random Parameter Adaptation. EMNLP (Findings) Jesus Rios, Pierre L. Dognin, Ronny Luss, Karthikeyan Natesan Ramamurthy
2025	J	`jnl`	Sparsity May Be All You Need: Sparse Random Parameter Adaptation. CoRR Jesus Rios, Pierre L. Dognin, Ronny Luss, Karthikeyan Ramamurthy
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR 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
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. IEEE Internet Comput. 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
2024	J	`jnl`	Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2024	A*	`conf`	ComVas: Contextual Moral Values Alignment System. IJCAI Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024	J	`jnl`	Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024	J	`jnl`	Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR 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
2024	J	`jnl`	Evaluating the Prompt Steerability of Large Language Models. CoRR Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu
2024	J	`jnl`	Granite Guardian. CoRR 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, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024	J	`jnl`	Programming Refusal with Conditional Activation Steering. CoRR Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2024	—	`conf`	Value Alignment from Unstructured Text. EMNLP (Industry Track) Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2024	J	`jnl`	Value Alignment from Unstructured Text. CoRR Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2023	J	`jnl`	Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR 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
2023	J	`jnl`	The incentive gap in data work in the era of large models. Nat. Mac. Intell. Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney
2022	—	`conf`	Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) 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
2022	J	`jnl`	Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR 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
2022	A*	`conf`	Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. NeurIPS Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
2022	J	`jnl`	Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. CoRR Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
2022	J	`jnl`	Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2022	—	`conf`	Knowledge Graph Generation From Text. EMNLP (Findings) Igor Melnyk, Pierre L. Dognin, Payel Das
2022	J	`jnl`	Knowledge Graph Generation From Text. CoRR Igor Melnyk, Pierre L. Dognin, Payel Das
2021	A*	`conf`	Improved Mutual Information Estimation. AAAI Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu
2021	—	`conf`	ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. EMNLP (1) Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
2021	J	`jnl`	ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. CoRR Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
2021	Misc	`conf`	Tabular Transformers for Modeling Multivariate Time Series. ICASSP Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020	J	`jnl`	Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
2020	—	`conf`	DualTKB: A Dual Learning Bridge between Text and Knowledge Base. EMNLP (1) Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
2020	J	`jnl`	DualTKB: A Dual Learning Bridge between Text and Knowledge Base. CoRR Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
2020	J	`jnl`	Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2020	A*	`conf`	Learning Implicit Text Generation via Feature Matching. ACL Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2020	J	`jnl`	Learning Implicit Text Generation via Feature Matching. CoRR Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2020	J	`jnl`	Tabular Transformers for Modeling Multivariate Time Series. CoRR Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2019	A*	`conf`	Adversarial Semantic Alignment for Improved Image Captions. CVPR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2019	—	`conf`	Improved Adversarial Image Captioning. DGS@ICLR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2019	A*	`conf`	Learning Implicit Generative Models by Matching Perceptual Features. ICCV Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
2019	J	`jnl`	Learning Implicit Generative Models by Matching Perceptual Features. CoRR Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
2019	—	`conf`	Wasserstein Barycenter Model Ensembling. ICLR (Poster) Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
2019	J	`jnl`	Wasserstein Barycenter Model Ensembling. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
2018	J	`jnl`	Improved Image Captioning with Adversarial Semantic Alignment. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2015	Misc	`conf`	Annealed dropout trained maxout networks for improved LVCSR. ICASSP Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
2015	Misc	`conf`	Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task. ICASSP Petr Fousek, Pierre L. Dognin, Vaibhava Goel
2013	A	`conf`	Adaptive stereo-based stochastic mapping. INTERSPEECH Shay Maymon, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
2013	C	`conf`	Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks. ASRU Pierre L. Dognin, Vaibhava Goel
2013	Misc	`conf`	Direct product based deep belief networks for automatic speech recognition. ICASSP Petr Fousek, Steven J. Rennie, Pierre L. Dognin, Vaibhava Goel
2012	Misc	`conf`	Factorial Hidden Restricted Boltzmann Machines for noise robust speech recognition. ICASSP Steven J. Rennie, Petr Fousek, Pierre L. Dognin
2012	J	`jnl`	Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages. IEEE Trans. Speech Audio Process. Xiaodong Cui, Jian Xue, Xin Chen, Peder A. Olsen, Pierre L. Dognin, Upendra V. Chaudhari, John R. Hershey, Bowen Zhou
2011	C	`conf`	Matched-condition robust Dynamic Noise Adaptation. ASRU Steven J. Rennie, Pierre L. Dognin, Petr Fousek
2011	Misc	`conf`	Robust speech recognition using dynamic noise adaptation. ICASSP Steven J. Rennie, Pierre L. Dognin, Petr Fousek
2010	A	`conf`	Acoustic modeling with bootstrap and restructuring for low-resourced languages. INTERSPEECH Xiaodong Cui, Jian Xue, Pierre L. Dognin, Upendra V. Chaudhari, Bowen Zhou
2010	A	`conf`	Restructuring exponential family mixture models. INTERSPEECH Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
2009	Misc	`conf`	A fast, accurate approximation to log likelihood of Gaussian mixture models. ICASSP Pierre L. Dognin, Vaibhava Goel, John R. Hershey, Peder A. Olsen
2009	Misc	`conf`	Refactoring acoustic models using variational density approximation. ICASSP Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
2009	A	`conf`	Refactoring acoustic models using variational expectation-maximization. INTERSPEECH Pierre L. Dognin, John R. Hershey, Vaibhava Goel, Peder A. Olsen
2008	A	`conf`	Beyond linear transforms: efficient non-linear dynamic adaptation for noise robust speech recognition. INTERSPEECH Steven J. Rennie, Pierre L. Dognin
2003	A	`conf`	A new spectral transformation for speaker normalization. INTERSPEECH Pierre L. Dognin, Amro El-Jaroudi
2002	Misc	`conf`	The 2001 BYBLOS English large vocabulary conversational speech recognition system. ICASSP Spyros Matsoukas, Thomas Colthurst, Owen Kimball, Alex Solomonoff, Fred Richardson, Carl Quillen, Herbert Gish, Pierre L. Dognin
2000	Misc	`conf`	Parameter optimization for vocal tract length normalization. ICASSP Pierre L. Dognin, Amro El-Jaroudi, Jayadev Billa