Fernandez-Granda, Carlos

22 publications

ICML 2025 Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda, Yuhan Hao

TMLR 2025 Making Self-Supervised Learning Robust to Spurious Correlation via Learning-Speed Aware Sampling Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian

NeurIPSW 2024 Active Learning for Efficient Discovery of Optimal Gene Combinations in the Combinatorial Perturbation Space Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda, Yuhan Hao

NeurIPSW 2024 Squeezing Performance from Pathology Foundation Models with Chained Hyperparameter Searches Joseph Cappadona, Ken Gary Zeng, Carlos Fernandez-Granda, Jan Witowski, Yann LeCun, Krzysztof J. Geras

NeurIPS 2024 Uncertainty-Aware Fine-Tuning of Segmentation Foundation Models Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda

TMLR 2024 Understanding and Improving Transfer Learning of Deep Models via Neural Collapse Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

ICLR 2023 Avoiding Spurious Correlations via Logit Correction Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda

ICML 2023 Evaluating Unsupervised Denoising Requires Unsupervised Metrics Adria Marcos Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter Crozier, Carlos Fernandez-Granda

MIDL 2023 Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence with Self-Supervised Learning Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian

CVPR 2023 Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

CVPR 2022 Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

ICML 2022 Deep Probability Estimation Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

NeurIPS 2022 StrokeRehab: A Benchmark Dataset for Sub-Second Action Identification Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda

NeurIPS 2021 Adaptive Denoising via GainTuning Sreyas Mohan, Joshua L Vincent, Ramon Manzorro, Peter Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli

NeurIPS 2021 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

ICCV 2021 Unsupervised Deep Video Denoising Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda

NeurIPS 2020 Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda

ICLR 2020 Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda

MLHC 2020 Towards Data-Driven Stroke Rehabilitation via Wearable Sensors and Deep Learning Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda

NeurIPS 2019 Data-Driven Estimation of Sinusoid Frequencies Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda

NeurIPSW 2019 Interpretable and Robust Blind Image Denoising with Bias-Free Convolutional Neural Networks Zahra Kadkhodaie, Sreyas Mohan, Eero P. Simoncelli, Carlos Fernandez-Granda

ICCV 2013 Super-Resolution via Transform-Invariant Group-Sparse Regularization Carlos Fernandez-Granda, Emmanuel J. Candès