Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass von Nadler, Ethan O., Mansfield, Philip, Wang, Yunchong, Du, Xiaolong, Adhikari, Susmita, Banerjee, Arka, Benson, Andrew, Darragh-Ford, Elise, Mao, Yao-Yuan, Wagner-Carena, Sebastian, Wechsler, Risa H., Wu, Hao-Yi

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Toward expert-level medical question answering with large language models von Singhal, Karan, Tu, Tao, Gottweis, Juraj, Sayres, Rory, Wulczyn, Ellery, Amin, Mohamed, Hou, Le, Clark, Kevin, Pfohl, Stephen R, Cole-Lewis, Heather, Neal, Darlene, Rashid, Qazi Mamunur, Schaekermann, Mike, Wang, Amy, Dash, Dev, Chen, Jonathan H, Shah, Nigam H, Lachgar, Sami, Mansfield, Philip Andrew, Prakash, Sushant, Green, Bradley, Dominowska, Ewa, Agüera Y Arcas, Blaise, Tomašev, Nenad, Liu, Yun, Wong, Renee, Semturs, Christopher, Mahdavi, S Sara, Barral, Joelle K, Webster, Dale R, Corrado, Greg S, Matias, Yossi, Azizi, Shekoofeh, Karthikesalingam, Alan, Natarajan, Vivek

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Random Field Augmentations for Self-Supervised Representation Learning von Mansfield, Philip Andrew, Afkanpour, Arash, Morningstar, Warren Richard, Singhal, Karan

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Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout von Guo, Pengfei, Morningstar, Warren Richard, Vemulapalli, Raviteja, Singhal, Karan, Patel, Vishal M, Mansfield, Philip Andrew

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Federated Variational Inference: Towards Improved Personalization and Generalization von Vedadi, Elahe, Dillon, Joshua V, Mansfield, Philip Andrew, Singhal, Karan, Afkanpour, Arash, Morningstar, Warren Richard

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Federated Training of Dual Encoding Models on Small Non-IID Client Datasets von Vemulapalli, Raviteja, Morningstar, Warren Richard, Mansfield, Philip Andrew, Eichner, Hubert, Singhal, Karan, Afkanpour, Arash, Green, Bradley

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Speaker Diarization with LSTM von Wang, Quan, Downey, Carlton, Wan, Li, Mansfield, Philip Andrew, Moreno, Ignacio Lopez

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Links: A High-Dimensional Online Clustering Method von Mansfield, Philip Andrew, Wang, Quan, Downey, Carlton, Wan, Li, Moreno, Ignacio Lopez

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SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer von Rojas-Gomez, Renan A, Singhal, Karan, Etemad, Ali, Bijamov, Alex, Morningstar, Warren R, Mansfield, Philip Andrew

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Random Field Augmentations for Self-Supervised Representation Learning von Mansfield, Philip Andrew, Afkanpour, Arash, Morningstar, Warren Richard, Singhal, Karan

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SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer von Rojas-Gomez, Renan A, Singhal, Karan, Etemad, Ali, Bijamov, Alex, Morningstar, Warren R, Mansfield, Philip Andrew

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Camera View Adjustment Prediction for Improving Image Composition von Su, Yu-Chuan, Vemulapalli, Raviteja, Weiss, Ben, Chu, Chun-Te, Mansfield, Philip Andrew, Shapira, Lior, Pitts, Colvin

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PRIVACY-PROTECTING DISTRIBUTED SELF-SUPERVISED LEARNING von MANSFIELD, Philip Andrew, QI, Hang, VEMULAPALLI, Raviteja, ANDREW, Galen Michael, MCMAHAN, Hugh Brendan

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PRIVACY-PROTECTING DISTRIBUTED SELF-SUPERVISED LEARNING von MANSFIELD, Philip Andrew, QI, Hang, VEMULAPALLI, Raviteja, ANDREW, Galen Michael, MCMAHAN, Hugh Brendan

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Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout von Guo, Pengfei, Morningstar, Warren Richard, Vemulapalli, Raviteja, Singhal, Karan, Patel, Vishal M, Mansfield, Philip Andrew

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Federated Variational Inference: Towards Improved Personalization and Generalization von Vedadi, Elahe, Dillon, Joshua V, Mansfield, Philip Andrew, Singhal, Karan, Afkanpour, Arash, Morningstar, Warren Richard

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Federated Training of Dual Encoding Models on Small Non-IID Client Datasets von Vemulapalli, Raviteja, Morningstar, Warren Richard, Mansfield, Philip Andrew, Eichner, Hubert, Singhal, Karan, Afkanpour, Arash, Green, Bradley

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Speaker Diarization with LSTM von Wang, Quan, Downey, Carlton, Li, Wan, Mansfield, Philip Andrew, Ignacio Lopez Moreno

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Non-linear text flow von MANSFIELD PHILIP ANDREW

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Camera View Adjustment Prediction for Improving Image Composition von Yu-Chuan, Su, Vemulapalli, Raviteja, Weiss, Ben, Chun-Te Chu, Mansfield, Philip Andrew, Shapira, Lior, Pitts, Colvin

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