Baghshah, Mahdieh Soleymani

23 publications

TMLR 2026 CARINOX: Inference-Time Scaling with Category-Aware Reward-Based Initial Noise Optimization and Exploration Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, Shayan Baghayi Nejad, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

TMLR 2025 Attention Overlap Is Responsible for the Entity Missing Problem in Text-to-Image Diffusion Models! Arash Mari Oriyad, Mohammadali Banayeeanzade, Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

TMLR 2025 CAREL: Instruction-Guided Reinforcement Learning with Cross-Modal Auxiliary Objectives Armin Saghafian, Amirmohammad Izadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah

CVPR 2025 CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation Reza Abbasi, Ali Nazari, Aminreza Sefid, Mohammadali Banayeeanzade, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

ICLRW 2025 Exploiting What Trained Models Learn for Making Them Robust to Spurious Correlations Without Group Annotations Mahdi Ghaznavi, Hesam Asadollahzadeh, Fahimeh Hosseini Noohdani, Soroush Vafaie Tabar, Hosein Hasani, Taha Akbari Alvanagh, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

MLJ 2025 Inductive Biases for Zero-Shot Systematic Generalization in Language-Informed Reinforcement Learning Negin Hashemi Dijujin, Seyed Roozbeh Razavi Rohani, Mohammad Mahdi Samiei, Mahdieh Soleymani Baghshah

CVPR 2025 LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions Faridoun Mehri, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar

NeurIPS 2025 Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection Reihaneh Zohrabi, Hosein Hasani, Mahdieh Soleymani Baghshah, Anna Rohrbach, Marcus Rohrbach, Mohammad Hossein Rohban

NeurIPS 2025 Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs Amirmohammad Izadi, Mohammadali Banayeeanzade, Fatemeh Askari, Ali Rahimiakbar, Mohammad Mahdi Vahedi, Hosein Hasani, Mahdieh Soleymani Baghshah

TMLR 2025 Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-Image Models Parham Rezaei, Arash Marioriyad, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

ECCV 2024 Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi, Mohammad Rohban, Mahdieh Soleymani Baghshah

CVPR 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, Hamidreza Yaghoubi Araghi, Mahdieh Soleymani Baghshah

NeurIPSW 2024 Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models Arash Mari Oriyad, Parham Rezaei, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

NeurIPSW 2024 PreND: Enhancing Intrinsic Motivation in Reinforcement Learning Through Pre-Trained Network Distillation Amin Davoodabadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah

ICML 2024 RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

ICLR 2024 SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models S. Fatemeh Seyyedsalehi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

CVPRW 2024 SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers Faridoun Mehri, Mohsen Fayyaz, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar

NeurIPSW 2023 Divide and Conquer: Two-Level Problem Remodeling for Large-Scale Few-Shot Learning Mohamadreza Fereydooni, Hosein Hasani, Ali Razghandi, Mahdieh Soleymani Baghshah

ICML 2021 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah

ECCV 2014 Multi-Modal Distance Metric Learning: ABayesian Non-Parametric Approach Behnam Babagholami-Mohamadabadi, Seyed Mahdi Roostaiyan, Ali Zarghami, Mahdieh Soleymani Baghshah

ECCVW 2014 Multi-Modal Distance Metric Learning: ABayesian Non-Parametric Approach Behnam Babagholami-Mohamadabadi, Seyed Mahdi Roostaiyan, Ali Zarghami, Mahdieh Soleymani Baghshah

ECML-PKDD 2013 PSSDL: Probabilistic Semi-Supervised Dictionary Learning Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah

IJCAI 2009 Semi-Supervised Metric Learning Using Pairwise Constraints Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki