Farnadi, Golnoosh

28 publications

TMLR 2025 A Learning-Based Framework for Fair and Scalable Solution Generation in Kidney Exchange Problems William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
TMLR 2025 Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural Causal Model Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
AAAI 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
TMLR 2025 Differentially Private Clustered Federated Learning Saber Malekmohammadi, Afaf Taik, Golnoosh Farnadi
AAAI 2025 Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taïk, Reihaneh Rabbany, Golnoosh Farnadi
ICCV 2025 Erasing More than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine Heller, Mohammad Havaei, Negar Rostamzadeh
NeurIPS 2025 Neither Valid nor Reliable? Investigating the Use of LLMs as Judges Khaoula Chehbouni, Mohammed Haddou, Jackie CK Cheung, Golnoosh Farnadi
ICLRW 2025 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
ICLRW 2025 Unlearning Geo-Cultural Stereotypes in Multilingual LLMs Alireza Dehghanpour Farashah, Aditi Khandelwal, Negar Rostamzadeh, Golnoosh Farnadi
ICLR 2025 What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
ICLR 2024 Balancing Act: Constraining Disparate Impact in Sparse Models Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
AAAI 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
NeurIPSW 2024 Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi
AAAI 2024 Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract) William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
NeurIPSW 2024 On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy Saber Malekmohammadi, Golnoosh Farnadi
ICMLW 2024 On the Local Geometry of Deep Generative Manifolds Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
ICML 2024 Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
AAAI 2024 Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi
NeurIPS 2024 Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
MLJ 2022 A Taxonomy of Weight Learning Methods for Statistical Relational Learning Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
NeurIPSW 2022 Early Detection of Sexual Predators with Federated Learning Khaoula Chehbouni, Gilles Caporossi, Reihaneh Rabbany, Martine De Cock, Golnoosh Farnadi
AAAI 2021 Individual Fairness in Kidney Exchange Programs Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho
AAAI 2020 BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
NeurIPS 2020 Counterexample-Guided Learning of Monotonic Neural Networks Aishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein, Guy Van den Broeck
AAAI 2020 Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
AAAI 2019 Lifted Hinge-Loss Markov Random Fields Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
MLJ 2017 Soft Quantification in Statistical Relational Learning Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
IJCAI 2015 Statistical Relational Learning Towards Modelling Social Media Users Golnoosh Farnadi