Farnood Salehi

24 papers A* 6A 1B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales.
CoRR
Seyedmorteza Sadat, Tobias Vontobel, Farnood Salehi, Romann M. Weber
2025 J jnl
HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models.
CoRR
Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber
2025 A* conf
HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling.
SIGGRAPH Asia
Tobias Vontobel, Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber
2025 J jnl
HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling.
CoRR
Tobias Vontobel, Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber
2025 J jnl
Stylized Structural Patterns for Improved Neural Network Pre-training.
CoRR
Farnood Salehi, Vandit Sharma, Amirhossein Askari-Farsangi, Tunç Ozan Aydin
2024 J jnl
Neural Denoising for Deep-Z Monte Carlo Renderings.
Comput. Graph. Forum
Xianyao Zhang, Gerhard Röthlin, Shilin Zhu, Tunç Ozan Aydin, Farnood Salehi, Markus Gross, Marios Papas
2023 A* conf
Empowering Convolutional Neural Nets with MetaSin Activation.
NeurIPS
Farnood Salehi, Tunç Ozan Aydin, André Gaillard, Guglielmo Camporese, Yuxuan Wang
2023 A* conf
Kernel Aware Resampler.
CVPR
Michael Bernasconi, Abdelaziz Djelouah, Farnood Salehi, Markus Gross, Christopher Schroers
2022 J jnl
Deep Adaptive Sampling and Reconstruction Using Analytic Distributions.
ACM Trans. Graph.
Farnood Salehi, Marco Manzi, Gerhard Roethlin, Romann M. Weber, Christopher Schroers, Marios Papas
2020 B conf
Generalization Comparison of Deep Neural Networks via Output Sensitivity.
ICPR
Mahsa Forouzesh, Farnood Salehi, Patrick Thiran
2020 J jnl
Generalization Comparison of Deep Neural Networks via Output Sensitivity.
CoRR
Mahsa Forouzesh, Farnood Salehi, Patrick Thiran
2020 — —
Multi-armed Bandits in Action.
Farnood Salehi
2019 J jnl
A dashboard for controlling polarization in personalization.
AI Commun.
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi
2019 A conf
Augmenting and Tuning Knowledge Graph Embeddings.
UAI
Robert Bamler, Farnood Salehi, Stephan Mandt
2019 J jnl
Augmenting and Tuning Knowledge Graph Embeddings.
CoRR
Robert Bamler, Farnood Salehi, Stephan Mandt
2019 — conf
Controlling Polarization in Personalization: An Algorithmic Framework.
FAT
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi
2019 J jnl
Learning Hawkes Processes from a Handful of Events.
CoRR
Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran
2019 A* conf
Learning Hawkes Processes from a handful of events.
NeurIPS
Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran
2018 J jnl
An Algorithmic Framework to Control Bias in Bandit-based Personalization.
CoRR
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi
2018 A* conf
Coordinate Descent with Bandit Sampling.
NeurIPS
Farnood Salehi, Patrick Thiran, L. Elisa Celis
2017 A* conf
Dictionary Learning Based on Sparse Distribution Tomography.
ICML
Pedram Pad, Farnood Salehi, L. Elisa Celis, Patrick Thiran, Michael Unser
2017 J jnl
Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network.
CoRR
L. Elisa Celis, Farnood Salehi
2017 J jnl
Stochastic Dual Coordinate Descent with Bandit Sampling.
CoRR
Farnood Salehi, Patrick Thiran, L. Elisa Celis
2017 J jnl
Stochastic Optimization with Bandit Sampling.
CoRR
Farnood Salehi, L. Elisa Celis, Patrick Thiran