Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability von Liu, Ziming, Gan, Eric, Tegmark, Max

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Tracking single fluorescent particles in three dimensions via extremum seeking von Ashley, Trevor T, Gan, Eric L, Pan, Jane, Andersson, Sean B

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Attitude du personnel hospitalier face au vaccin Covid-19 Guyane française von Hounhoui Gan, Eric, Clinchamps, Maelys, Fofana, Mamadou, Dutheil, Frederic

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Assessing Surgical Outcomes via Computational Fluid Dynamics (CFD) Analysis in Cleft Rhinoplasty von Liong, Kyrin, Gan, Eric, Lee, Shujin, Lee, Heow Pueh

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Carole Landis: A Most Beautiful Girl von Gans, Eric

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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability von Liu, Ziming, Gan, Eric, Tegmark, Max

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Ressenti au travail des agents d’un hôpital périphérique von Jacquand, Martine, Haloui, Mustapha, gan, Eric Hounhoui, Segovia, Liza, Dutheil, Frederic

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Endoscopic treatment for early gastric cancer in a patient with pernicious anaemia von Lin, Yap Yan, Seng, Eric Gan Keng

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Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization von Nguyen, Dang, Haddad, Paymon, Gan, Eric, Mirzasoleiman, Baharan

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Investigating the Benefits of Projection Head for Representation Learning von Xue, Yihao, Gan, Eric, Ni, Jiayi, Joshi, Siddharth, Mirzasoleiman, Baharan

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Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent von Watson, Lauren, Gan, Eric, Dantam, Mohan, Mirzasoleiman, Baharan, Sarkar, Rik

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Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias von Yang, Yu, Gan, Eric, Dziugaite, Gintare Karolina, Mirzasoleiman, Baharan

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Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression von Xue, Yihao, Joshi, Siddharth, Gan, Eric, Chen, Pin-Yu, Mirzasoleiman, Baharan

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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability von Liu, Ziming, Gan, Eric, Tegmark, Max

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Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization von Nguyen, Dang, Haddad, Paymon, Gan, Eric, Mirzasoleiman, Baharan

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Investigating the Benefits of Projection Head for Representation Learning von Xue, Yihao, Gan, Eric, Ni, Jiayi, Joshi, Siddharth, Mirzasoleiman, Baharan

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Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias von Yang, Yu, Gan, Eric, Gintare, Karolina Dziugaite, Mirzasoleiman, Baharan

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Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent von Watson, Lauren, Gan, Eric, Mohan Dantam, Mirzasoleiman, Baharan, Sarkar, Rik

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Investigation of laser via formation technology for the manufacturing of high density substrates von Zheng, Hongyu, Gan, Eric, Lim, Gnian Cher

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A report on the First Asia-Pacific Gastric Cancer Conference von Sudirman, Ahmad, Gan, Eric, So, Jimmy B Y

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