Andre Manoel - RankMe

34 papers A* 6A 1B 3Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Synthetic Data Privacy Metrics. CoRR Amy Steier, Lipika Ramaswamy, Andre Manoel, Alexa Haushalter
2024	J	`jnl`	Controllable Synthetic Clinical Note Generation with Privacy Guarantees. CoRR Tal Baumel, Andre Manoel, Daniel Jones, Shize Su, Huseyin A. Inan, Aaron Bornstein, Robert Sim
2024	J	`jnl`	Differentially Private Fine-tuning of Language Models. J. Priv. Confidentiality 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
2024	A*	`conf`	Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. ICLR Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
2024	A*	`conf`	TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. SP Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
2023	A	`conf`	Federated Learning Toolkit with Voice-based User Verification Demo. INTERSPEECH Prathamesh Mandke, Rachel Oberst, Matthias Reisser, Avijit Chakraborty, Christos Louizos, Joseph Soriaga, Daniel Madrigal Díaz, Andre Manoel, Nalin Singal, Jeff Omhover, Robert Sim
2023	—	`conf`	Federated Multilingual Models for Medical Transcript Analysis. CHIL Andre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis
2023	J	`jnl`	Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
2023	J	`jnl`	Project Florida: Federated Learning Made Easy. CoRR Daniel Madrigal Díaz, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
2023	J	`jnl`	TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. CoRR Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
2022	A*	`conf`	Differentially Private Fine-tuning of Language Models. ICLR 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
2022	J	`jnl`	FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations. CoRR Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal Díaz, Andre Manoel, Robert Sim
2022	J	`jnl`	Federated Multilingual Models for Medical Transcript Analysis. CoRR Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis
2022	A*	`conf`	Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. IJCAI Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
2022	J	`jnl`	Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. CoRR Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
2021	J	`jnl`	Differentially Private Fine-tuning of Language Models. CoRR 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
2020	J	`jnl`	Federated Survival Analysis with Discrete-Time Cox Models. CoRR Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard, Chloé Simpson
2019	J	`jnl`	Efficient Per-Example Gradient Computations in Convolutional Neural Networks. CoRR Gaspar Rochette, Andre Manoel, Eric W. Tramel
2018	J	`jnl`	Approximate message-passing for convex optimization with non-separable penalties. CoRR Andre Manoel, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion, Lenka Zdeborová
2018	A*	`conf`	Entropy and mutual information in models of deep neural networks. NeurIPS Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	J	`jnl`	Entropy and mutual information in models of deep neural networks. CoRR Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2017	J	`jnl`	A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines. CoRR Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala
2017	J	`jnl`	Multi-Layer Generalized Linear Estimation. CoRR Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2017	B	`conf`	Multi-layer generalized linear estimation. ISIT Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2017	—	`conf`	Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2017	J	`jnl`	Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2016	J	`jnl`	Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines. CoRR Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
2016	B	`conf`	Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. ITW Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR 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
2015	A*	`conf`	Swept Approximate Message Passing for Sparse Estimation. ICML Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2014	J	`jnl`	Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2014	J	`jnl`	Variational Free Energies for Compressed Sensing. CoRR Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
2014	B	`conf`	Variational free energies for compressed sensing. ISIT Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
2012	J	`jnl`	Statistical mechanics of reputation systems in autonomous networks CoRR Andre Manoel, Renato Vicente