Aristide Baratin

32 papers A* 7A 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. Trans. Mach. Learn. Res. Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
2025	J	`jnl`	Generating π-Functional Molecules Using STGG+ with Active Learning. CoRR Alexia Jolicoeur-Martineau, Yan Zhang, Boris Knyazev, Aristide Baratin, Cheng-Hao Liu
2025	J	`jnl`	Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. Trans. Mach. Learn. Res. Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Irina Rish, Pierre-Luc Bacon, Razvan Pascanu, Aristide Baratin
2024	J	`jnl`	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
2024	A*	`conf`	Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training. NeurIPS Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli
2024	J	`jnl`	Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training. CoRR Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli
2024	A*	`conf`	How connectivity structure shapes rich and lazy learning in neural circuits. ICLR Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
2024	A*	`conf`	Lookbehind-SAM: k steps back, 1 step forward. ICML Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar
2024	J	`jnl`	Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. CoRR Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin
2024	J	`jnl`	Promoting Exploration in Memory-Augmented Adam using Critical Momenta. Trans. Mach. Learn. Res. Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar
2024	J	`jnl`	Torque-Aware Momentum. CoRR Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Gintare Karolina Dziugaite, Razvan Pascanu, Sarath Chandar
2024	A*	`conf`	Unsupervised Concept Discovery Mitigates Spurious Correlations. ICML Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
2024	J	`jnl`	Unsupervised Concept Discovery Mitigates Spurious Correlations. CoRR Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
2023	A*	`conf`	CrossSplit: Mitigating Label Noise Memorization through Data Splitting. ICML Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien
2023	J	`jnl`	How connectivity structure shapes rich and lazy learning in neural circuits. CoRR Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
2023	J	`jnl`	Lookbehind Optimizer: k steps back, 1 step forward. CoRR Gonçalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar
2023	J	`jnl`	Promoting Exploration in Memory-Augmented Adam using Critical Momenta. CoRR Pranshu Malviya, Gonçalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar
2023	J	`jnl`	Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. Trans. Mach. Learn. Res. Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
2022	J	`jnl`	CrossSplit: Mitigating Label Noise Memorization through Data Splitting. CoRR Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien
2022	J	`jnl`	Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. CoRR Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
2022	J	`jnl`	Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty. CoRR Thomas George, Guillaume Lajoie, Aristide Baratin
2022	J	`jnl`	Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty. Trans. Mach. Learn. Res. Thomas George, Guillaume Lajoie, Aristide Baratin
2021	A	`conf`	Implicit Regularization via Neural Feature Alignment. AISTATS Aristide Baratin, Thomas George, César Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien
2021	J	`jnl`	On the Regularity of Attention. CoRR James Vuckovic, Aristide Baratin, Remi Tachet des Combes
2020	J	`jnl`	A Mathematical Theory of Attention. CoRR James Vuckovic, Aristide Baratin, Remi Tachet des Combes
2020	J	`jnl`	Implicit Regularization in Deep Learning: A View from Function Space. CoRR Aristide Baratin, Thomas George, César Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien
2019	A*	`conf`	On the Spectral Bias of Neural Networks. ICML Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville
2018	J	`jnl`	A Modern Take on the Bias-Variance Tradeoff in Neural Networks. CoRR Brady Neal, Sarthak Mittal, Aristide Baratin, Vinayak Tantia, Matthew Scicluna, Simon Lacoste-Julien, Ioannis Mitliagkas
2018	J	`jnl`	A3T: Adversarially Augmented Adversarial Training. CoRR Akram Erraqabi, Aristide Baratin, Yoshua Bengio, Simon Lacoste-Julien
2018	J	`jnl`	MINE: Mutual Information Neural Estimation. CoRR Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm, Aaron C. Courville
2018	A*	`conf`	Mutual Information Neural Estimation. ICML Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville
2018	J	`jnl`	On the Spectral Bias of Deep Neural Networks. CoRR Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville