Farnood Salehi

According to our database, Farnood Salehi authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

2023

Empowering Convolutional Neural Nets with MetaSin Activation.

Farnood Salehi, Tunç Aydin, André Gaillard, Guglielmo Camporese, Yuxuan Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Kernel Aware Resampler.

Michael Bernasconi, Abdelaziz Djelouah, Farnood Salehi, Markus H. Gross, Christopher Schroers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Adaptive Sampling and Reconstruction Using Analytic Distributions.

Farnood Salehi, Marco Manzi, Gerhard Roethlin, Romann M. Weber, Christopher Schroers, Marios Papas

ACM Trans. Graph., 2022

2020

Multi-armed Bandits in Action.

Farnood Salehi

PhD thesis, 2020

Generalization Comparison of Deep Neural Networks via Output Sensitivity.

Mahsa Forouzesh, Farnood Salehi, Patrick Thiran

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

A dashboard for controlling polarization in personalization.

L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi

AI Commun., 2019

Augmenting and Tuning Knowledge Graph Embeddings.

Robert Bamler, Farnood Salehi, Stephan Mandt

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Learning Hawkes Processes from a handful of events.

Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Controlling Polarization in Personalization: An Algorithmic Framework.

L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

An Algorithmic Framework to Control Bias in Bandit-based Personalization.

L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi

CoRR, 2018

Coordinate Descent with Bandit Sampling.

Farnood Salehi, Patrick Thiran, L. Elisa Celis

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Stochastic Dual Coordinate Descent with Bandit Sampling.

Farnood Salehi, Patrick Thiran, L. Elisa Celis

CoRR, 2017

Stochastic Optimization with Bandit Sampling.

Farnood Salehi, L. Elisa Celis, Patrick Thiran

CoRR, 2017

Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network.

L. Elisa Celis, Farnood Salehi

CoRR, 2017

Dictionary Learning Based on Sparse Distribution Tomography.

Pedram Pad, Farnood Salehi, L. Elisa Celis, Patrick Thiran, Michael Unser

Proceedings of the 34th International Conference on Machine Learning, 2017