Andre Manoel

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Unsupervised Learning

Compressed Sensing

Generalized Linear

Top Venues

Publications

Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. ICLR (2024)
Andre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis
Federated Multilingual Models for Medical Transcript Analysis. CHIL (2023)
Daniel Madrigal Diaz, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
Project Florida: Federated Learning Made Easy. CoRR (2023)
Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR (2023)
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. CoRR (2023)
Prathamesh Mandke, Rachel Oberst, Matthias Reisser, Avijit Chakraborty, Christos Louizos, Joseph Soriaga, Daniel Madrigal Diaz, Andre Manoel, Nalin Singal, Jeff Omhover, Robert Sim
Federated Learning Toolkit with Voice-based User Verification Demo. INTERSPEECH (2023)
Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis
Federated Multilingual Models for Medical Transcript Analysis. CoRR (2022)
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
Differentially Private Fine-tuning of Language Models. ICLR (2022)
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal Diaz, Andre Manoel, Robert Sim
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations. CoRR (2022)
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. CoRR (2022)
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. IJCAI (2022)
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
Differentially Private Fine-tuning of Language Models. CoRR (2021)
Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard, Chloé Simpson
Federated Survival Analysis with Discrete-Time Cox Models. CoRR (2020)
Gaspar Rochette, Andre Manoel, Eric W. Tramel
Efficient Per-Example Gradient Computations in Convolutional Neural Networks. CoRR (2019)
Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Entropy and mutual information in models of deep neural networks. NeurIPS (2018)
Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Entropy and mutual information in models of deep neural networks. CoRR (2018)
Andre Manoel, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion, Lenka Zdeborová
Approximate message-passing for convex optimization with non-separable penalties. CoRR (2018)
Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Multi-layer generalized linear estimation. ISIT (2017)
Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Multi-Layer Generalized Linear Estimation. CoRR (2017)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR (2017)
Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines. CoRR (2017)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton (2017)
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines. CoRR (2016)
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. ITW (2016)
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Swept Approximate Message Passing for Sparse Estimation. ICML (2015)
Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
Variational Free Energies for Compressed Sensing. CoRR (2014)
Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR (2014)
Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
Variational free energies for compressed sensing. ISIT (2014)
Andre Manoel, Renato Vicente
Statistical mechanics of reputation systems in autonomous networks CoRR (2012)