activity
20242026
most citedCertified Adversarial Robustness via Partition-based Randomized Smoothing

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Imaginative Generative AI: Crossing the Entropy Wall into Worlds Beyond Imitation

Farzan Farnia, Hossein Goli, Amin Gohari

Generative AI models are primarily designed to imitate the data distribution, an objective that neither corrects diversity lost by a learned generator nor defines how generation sh…

cs.LG2025

Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics

Momin Abbas, Ali Falahati, Hossein Goli +1

Out-of-distribution (OOD) detection plays a crucial role in ensuring the robustness of machine learning systems deployed in real-world applications. Recent approaches have explored…

cs.RO2025

STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation

Hossein Goli, Michael Gimelfarb, Nathan Samuel de Lara +3

Off-policy evaluation (OPE) estimates the performance of a target policy using offline data collected from a behavior policy, and is crucial in domains such as robotics or healthca…

cs.SI2024

Detecting Popular Social Events through Limited Observation with Deep Survival Analysis

Maryam Ramezani, Hossein Goli, AmirMohammad Izadi +1

Users increasing activity across various social networks made it the most widely used platform for exchanging and propagating information among individuals. To spread information w…

cs.LG20241 cited

Certified Adversarial Robustness via Partition-based Randomized Smoothing

Hossein Goli, Farzan Farnia

A reliable application of deep neural network classifiers requires robustness certificates against adversarial perturbations. Gaussian smoothing is a widely analyzed approach to ce…