A frequency domain MVDR beamformer for UWB microwave breast cancer imaging in dispersive mediums. - Forough Arabshahi; Sadaf Monajemi; Hamid Sheikhzadeh; Kaamran Raahemifar; Reza Faraji-Dana (ISSPIT, 2013)

Modeling Dynamic Social Interactions via Conditional Latent Tree Models. - Forough Arabshahi; Furong Huang; Animashree Anandkumar; Carter T. Butts (CoRR, 2014)

Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]. - Forough Arabshahi; Furong Huang; Animashree Anandkumar; Carter T. Butts; Sean M. Fitzhugh (ICDM, 2015)

Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods. - Forough Arabshahi; Animashree Anandkumar (CoRR, 2016)

Spectral Methods for Correlated Topic Models. - Forough Arabshahi; Anima Anandkumar (AISTATS, 2017)

Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs. - Forough Arabshahi; Sameer Singh 001; Animashree Anandkumar (ICLR (Poster), 2018)

Combining Symbolic and Function Evaluation Expressions In Neural Programs. - Forough Arabshahi; Sameer Singh 001; Animashree Anandkumar (CoRR, 2018)

Learning Latent Hierarchical Structures via Probabilistic Models and Deep Learning. - Forough Arabshahi (2018)

Look-up and Adapt: A One-shot Semantic Parser. - Zhichu Lu; Forough Arabshahi; Igor Labutov; Tom M. Mitchell (EMNLP/IJCNLP (1), 2019)

Memory Augmented Recursive Neural Networks. - Forough Arabshahi; Zhichu Lu; Sameer Singh 001; Animashree Anandkumar (CoRR, 2019)

Conversational Neuro-Symbolic Commonsense Reasoning. - Forough Arabshahi; Jennifer Lee; Mikayla Gawarecki; Kathryn Mazaitis; Amos Azaria; Tom M. Mitchell (AAAI, 2021)

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. - Forough Arabshahi; Jennifer Lee; Antoine Bosselut; Yejin Choi 001; Tom M. Mitchell (EMNLP (1), 2021)

AutoNLU: Detecting, root-causing, and fixing NLU model errors. - Pooja Sethi; Denis Savenkov; Forough Arabshahi; Jack Goetz; Micaela Tolliver; Nicolas Scheffer; Ilknur Kabul; Yue Liu; Ahmed Aly (CoRR, 2021)

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. - Shantanu Ghosh; Ke Yu; Forough Arabshahi; Kayhan Batmanghelich (ICML, 2023)

Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier. - Sumedha Singla; Nihal Murali; Forough Arabshahi; Sofia Triantafyllou; Kayhan Batmanghelich (WACV, 2023)

Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. - Shantanu Ghosh; Ke Yu; Forough Arabshahi; Kayhan Batmanghelich (CoRR, 2023)