Farnood Salehi

Decision Sciences · Social Sciences

7h-index152citations22works0.52yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Bandit Algorithms Research(7), Image and Signal Denoising Methods(4), Advanced Graph Neural Networks(3), Machine Learning and Algorithms(3), Topic Modeling(2)

Publications22 total

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling
arXiv (Cornell University)·2025Open Access
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
arXiv (Cornell University)·2025Open Access
Stylized Structural Patterns for Improved Neural Network Pre-training
arXiv (Cornell University)·2025Open Access
Neural Denoising for Deep‐Z Monte Carlo Renderings
Computer Graphics Forum·2024· 2 cited
Kernel Aware Resampler
2023· 4 cited
Deep Adaptive Sampling and Reconstruction Using Analytic Distributions
ACM Transactions on Graphics·2022· 12 cited
Generalization Comparison of Deep Neural Networks via Output Sensitivity
2021· 1 citedOpen Access
Multi-armed Bandits in Action
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2020Open Access
Learning Hawkes Processes from a Handful of Events
arXiv (Cornell University)·2019· 12 citedOpen Access
On the Reflection of Sensitivity in the Generalization Error
2019
Augmenting and Tuning Knowledge Graph Embeddings
arXiv (Cornell University)·2019· 3 citedOpen Access
Augmenting and Tuning Knowledge Graph Embeddings
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2019Open Access
A dashboard for controlling polarization in personalization
AI Communications·2019· 3 citedOpen Access
Controlling Polarization in Personalization
2019· 67 citedOpen Access
Probabilistic Knowledge Graph Embeddings
2018· 4 cited
An Algorithmic Framework to Control Bias in Bandit-based Personalization
arXiv (Cornell University)·2018· 15 citedOpen Access
Stochastic Dual Coordinate Descent with Bandit Sampling.
2017· 2 cited
Coordinate Descent with Bandit Sampling
arXiv (Cornell University)·2017· 7 citedOpen Access
Stochastic Optimization with Bandit Sampling
arXiv (Cornell University)·2017· 11 citedOpen Access
Dictionary Learning Based on Sparse Distribution Tomography
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2017· 8 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

L. Elisa Celis(8), Patrick Thiran(7), Sayash Kapoor(3), Nisheeth K. Vishnoi(3), Romann M. Weber(3), Robert Bamler(3), Stephan Mandt(3), Christopher Schroers(2), Marios Papas(2), Markus Groß(2), Tunç Ozan Aydın(2), Mahsa Forouzesh(2), Seyedmorteza Sadat(2), Tobias Vontobel(2), William Trouleau(1), Matthias Grossglauser(1), Marco Manzi(1), Gerhard Roethlin(1), Pedram Pad(1), Michaël Unser(1)