36 citations · 44 across the 8 of their papers we have counts for
8 papers
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher +1
Conditional Flow Matching (CFM), a simulation-free method for training continuous normalizing flows, provides an efficient alternative to diffusion models for key tasks like image…
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
Beatriz Borges, Negar Foroutan, Deniz Bayazit +87
AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they a…
Efficient Continual Finite-Sum Minimization
Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi +1
Given a sequence of functions with , finite-sum minimization seeks a point minimizing $\sum_{j=1}^n…
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu, Leello Dadi, Volkan Cevher
Recent studies show that a reproducing kernel Hilbert space (RKHS) is not a suitable space to model functions by neural networks as the curse of dimensionality (CoD) cannot be evad…
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
Leello Dadi, Ioannis Panageas, Stratis Skoulakis +2
We introduce an online learning algorithm in the bandit feedback model that, once adopted by all agents of a congestion game, results in game-dynamics that converge to an -appro…
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos +2
We propose an adaptive variance-reduction method, called AdaSpider, for minimization of -smooth, non-convex functions with a finite-sum structure. In essence, AdaSpider combines…
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos +2
Polynomial neural networks (PNNs) have been recently shown to be particularly effective at image generation and face recognition, where high-frequency information is critical. Prev…
Generating Sparse Stochastic Processes Using Matched Splines
Leello Dadi, Shayan Aziznejad, Michael Unser
We provide an algorithm to generate trajectories of sparse stochastic processes that are solutions of linear ordinary differential equations driven by Lévy white noises. A recent p…