Drozdzal, Michal

31 publications

ICLR 2026 The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models Xiaofeng Zhang, Aaron Courville, Michal Drozdzal, Adriana Romero-Soriano

ICLR 2025 Adjoint Matching: Fine-Tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen

ICLR 2025 Boosting Latent Diffusion with Perceptual Objectives Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek

ICCV 2025 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

NeurIPS 2025 Entropy Rectifying Guidance for Diffusion and Flow Models Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari

ICML 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice Reyhane Askari-Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

NeurIPS 2025 Increasing the Utility of Synthetic Images Through Chamfer Guidance Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari-Hemmat, Melissa Hall, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal

NeurIPS 2025 Object-Centric Binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

NeurIPSW 2024 Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models Pietro Astolfi, Melissa Hall, Jakob Verbeek, Marlene Careil, Oscar Mañas, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal

NeurIPSW 2024 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

TMLR 2024 DIG in: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano

NeurIPSW 2024 Deliberate Practice with Synthetic Data Reyhane Askari-Hemmat, Mohammad Pezeshki, Pietro Astolfi, Melissa Hall, Florian Bordes, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

TMLR 2024 Feedback-Guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

ECCV 2024 Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano

TMLR 2024 Improving Text-to-Image Consistency via Automatic Prompt Optimization Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal

NeurIPSW 2024 OC-CLIP : Object-Centric Binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

NeurIPS 2024 On Improved Conditioning Mechanisms and Pre-Training Strategies for Diffusion Models Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

NeurIPSW 2023 Feedback-Guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

ICLR 2023 ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim

TMLR 2023 Improved Baselines for Vision-Language Pre-Training Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

MIDL 2023 On Learning Adaptive Acquisition Policies for Undersampled Multi-Coil MRI Reconstruction Tim Bakker, Matthew Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda

NeurIPS 2021 Active 3D Shape Reconstruction from Vision and Touch Edward Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero Soriano, Michal Drozdzal

NeurIPS 2021 Instance-Conditioned GAN Arantxa Casanova, Marlene Careil, Jakob J. Verbeek, Michal Drozdzal, Adriana Romero Soriano

NeurIPS 2021 Parameter Prediction for Unseen Deep Architectures Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero Soriano

NeurIPS 2020 3D Shape Reconstruction from Vision and Touch Edward Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

NeurIPS 2020 Instance Selection for GANs Terrance DeVries, Michal Drozdzal, Graham W. Taylor

CVPR 2019 Inverse Cooking: Recipe Generation from Food Images Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero

CVPR 2019 Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal

CVPRW 2018 On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio

CVPRW 2017 The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio

CVPRW 2010 Aligning Endoluminal Scene Sequences in Wireless Capsule Endoscopy Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva