Sagun, Levent

16 publications

ICLR 2025 A Differentiable Rank-Based Objective for Better Feature Learning Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun

ICLR 2025 An Effective Theory of Bias Amplification Arjun Subramonian, Samuel Bell, Levent Sagun, Elvis Dohmatob

ICMLW 2024 Chained Tuning Leads to Biased Forgetting Megan Ung, Alicia Yi Sun, Samuel Bell, Levent Sagun, Adina Williams

ICMLW 2024 Chained Tuning Leads to Biased Forgetting Megan Ung, Alicia Yi Sun, Samuel Bell, Levent Sagun, Adina Williams

ICML 2024 Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian, Levent Sagun, Yizhou Sun

ICCVW 2023 Confusing Large Models by Confusing Small Models Vítor Albiero, Raghav Mehta, Ivan Evtimov, Samuel J. Bell, Levent Sagun, Aram Markosyan

NeurIPSW 2023 Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian, Levent Sagun, Yizhou Sun

NeurIPSW 2022 Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD Arjun Subramonian, Levent Sagun, Kai-Wei Chang, Yizhou Sun

ICML 2021 ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases Stéphane D’Ascoli, Hugo Touvron, Matthew L Leavitt, Ari S Morcos, Giulio Biroli, Levent Sagun

NeurIPS 2021 On the Interplay Between Data Structure and Loss Function in Classification Problems Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli

NeurIPS 2020 Triple Descent and the Two Kinds of Overfitting: Where & Why Do They Appear? Stéphane d'Ascoli, Levent Sagun, Giulio Biroli

ICML 2019 A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban

NeurIPS 2019 Finding the Needle in the Haystack with Convolutions: On the Benefits of Architectural Bias Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Joan Bruna

ICML 2018 Comparing Dynamics: Deep Neural Networks Versus Glassy Systems Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gerard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli

ICLR 2017 Entropy-SGD: Biasing Gradient Descent into Wide Valleys Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina

ICLR 2015 Explorations on High Dimensional Landscapes Levent Sagun, V. Ugur Güney, Yann LeCun