Sertan Girgin - RankMe

55 papers A* 12A 2B 3C 3Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BOND: Aligning LLMs with Best-of-N Distillation. ICLR Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem
2025	A*	`conf`	Diversity-Rewarded CFG Distillation. ICLR Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé
2024	J	`jnl`	BOND: Aligning LLMs with Best-of-N Distillation. CoRR Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem
2024	J	`jnl`	Diversity-Rewarded CFG Distillation. CoRR Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé
2024	A*	`conf`	MusicRL: Aligning Music Generation to Human Preferences. ICML Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian McWilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Léonard Hussenot, Neil Zeghidour, Andrea Agostinelli
2024	J	`jnl`	MusicRL: Aligning Music Generation to Human Preferences. CoRR Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian McWilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Léonard Hussenot, Neil Zeghidour, Andrea Agostinelli
2024	A*	`conf`	Nash Learning from Human Feedback. ICML Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Côme Fiegel, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
2024	J	`jnl`	WARP: On the Benefits of Weight Averaged Rewarded Policies. CoRR Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem
2023	—	`conf`	Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
2023	J	`jnl`	Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
2023	J	`jnl`	Get Back Here: Robust Imitation by Return-to-Distribution Planning. CoRR Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin, Léonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin, Robert Dadashi
2023	J	`jnl`	Nash Learning from Human Feedback. CoRR Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot
2023	J	`jnl`	Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. CoRR Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matthew Sharifi, Marco Tagliasacchi, Neil Zeghidour
2023	J	`jnl`	Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. Trans. Assoc. Comput. Linguistics Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matt Sharifi, Marco Tagliasacchi, Neil Zeghidour
2022	A*	`conf`	Continuous Control with Action Quantization from Demonstrations. ICML Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
2022	A*	`conf`	Decoding a Neural Retriever's Latent Space for Query Suggestion. EMNLP Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann
2022	J	`jnl`	Decoding a Neural Retriever's Latent Space for Query Suggestion. CoRR Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann
2022	A*	`conf`	Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
2022	A	`conf`	Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach. AAMAS Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Eric Goubault, Romuald Elie
2022	J	`jnl`	vec2text with Round-Trip Translations. CoRR Geoffrey Cideron, Sertan Girgin, Anton Raichuk, Olivier Pietquin, Olivier Bachem, Léonard Hussenot
2021	—	`conf`	Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation. NeurIPS Datasets and Benchmarks C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
2021	J	`jnl`	Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation. CoRR C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
2021	J	`jnl`	Continuous Control with Action Quantization from Demonstrations. CoRR Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
2021	A*	`conf`	Hyperparameter Selection for Imitation Learning. ICML Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphaël Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
2021	J	`jnl`	Hyperparameter Selection for Imitation Learning. CoRR Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphaël Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
2021	J	`jnl`	RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning. CoRR Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphaël Marinier, Jeremiah Harmsen, Olivier Pietquin, Nikola Momchev
2021	J	`jnl`	Solving N-player dynamic routing games with congestion: a mean field approach. CoRR Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Éric Goubault, Romuald Elie
2021	A*	`conf`	What Matters for Adversarial Imitation Learning? NeurIPS Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
2021	J	`jnl`	What Matters for Adversarial Imitation Learning? CoRR Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
2021	A*	`conf`	What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2020	J	`jnl`	What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2017	B	`conf`	Text based user comments as a signal for automatic language identification of online videos. ICMI A. Seza Dogruöz, Natalia Ponomareva, Sertan Girgin, Reshu Jain, Christoph Oehler
2013	J	`jnl`	A novel report generation approach for medical applications: The SISDS methodology and its applications. Int. J. Medical Informatics Kaya Kuru, Sertan Girgin, Kemal Arda, Ugur Bozlar
2013	—	`conf`	From assets to stories via the Google Cultural Institute Platform. IEEE BigData W. Brent Seales, Steve Crossan, Mark Yoshitake, Sertan Girgin
2012	J	`jnl`	Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
2011	—	`conf`	A Bilinear Interpolation Based Approach for Optimizing Hematoxylin and Eosin Stained Microscopical Images. PRIB Kaya Kuru, Sertan Girgin
2010	A*	`conf`	Advertising Campaigns Management: Should We Be Greedy? ICDM Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
2010	J	`jnl`	Improving reinforcement learning by using sequence trees. Mach. Learn. Sertan Girgin, Faruk Polat, Reda Alhajj
2009	B	`conf`	A Novel Multilingual Report Generation System for Medical Applications. AIME Kaya Kuru, Sertan Girgin, Kemal Arda
2009	C	`conf`	Developing Diagnostic DSSs Based on a Novel Data Collection Methodology. KSEM Kaya Kuru, Sertan Girgin, Kemal Arda, Ugur Bozlar, Veysel Akgün
2009	—	`conf`	Feature discovery in approximate dynamic programming. ADPRL Philippe Preux, Sertan Girgin, Manuel Loth
2008	—	`conf`	Basis Expansion in Natural Actor Critic Methods. EWRL Sertan Girgin, Philippe Preux
2008	C	`conf`	Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture. ICMLA Sertan Girgin, Philippe Preux
2008	B	`conf`	Feature Discovery in Reinforcement Learning Using Genetic Programming. EuroGP Sertan Girgin, Philippe Preux
2008	—	`ed.`	Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers EWRL Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko
2008	—	`ch.`	Swarm Robotics. Swarm Intelligence Erol Sahin, Sertan Girgin, Levent Bayindir, Ali Emre Turgut
2007	—	`—`	Abstraction in reinforcement learning (Pekiştirmeli öğrenmede soyutlama) Sertan Girgin
2007	J	`jnl`	Positive Impact of State Similarity on Reinforcement Learning Performance. IEEE Trans. Syst. Man Cybern. Part B Sertan Girgin, Faruk Polat, Reda Alhajj
2007	A*	`conf`	State Similarity Based Approach for Improving Performance in RL. IJCAI Sertan Girgin, Faruk Polat, Reda Alhajj
2006	J	`jnl`	Area measurement of large closed regions with a mobile robot. Auton. Robots Erol Sahin, Sertan Girgin, Emre Ugur
2006	C	`conf`	Effectiveness of Considering State Similarity for Reinforcement Learning. IDEAL Sertan Girgin, Faruk Polat, Reda Alhajj
2006	A	`conf`	Learning by Automatic Option Discovery from Conditionally Terminating Sequences. ECAI Sertan Girgin, Faruk Polat, Reda Alhajj
2005	—	`conf`	Option Discovery in Reinforcement Learning using Frequent Common Subsequences of Actions. CIMCA/IAWTIC Sertan Girgin, Faruk Polat