Leello Tadesse Dadi

According to our database, Leello Tadesse Dadi authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Generalization of noisy SGD in unbounded non-convex settings.

Leello Tadesse Dadi, Volkan Cevher

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling.

Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks.

Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher

J. Mach. Learn. Res., 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games.

Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher

CoRR, 2024

Efficient Continual Finite-Sum Minimization.

Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Finding Actual Descent Directions for Adversarial Training.

Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization.

Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Spectral Bias of Polynomial Neural Networks.

Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers.

Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generating Sparse Stochastic Processes Using Matched Splines.

Leello Dadi, Shayan Aziznejad, Michael Unser

IEEE Trans. Signal Process., 2020