Search Results - "Rothchild, Daniel"

ALTSched: Improved Scheduling for Time-domain Science with LSST by Rothchild, Daniel, Stubbs, Christopher, Yoachim, Peter

“…Telescope scheduling is the task of determining the best sequence of observations (pointings and filter choices) for a survey system. Because it is…”
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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink by Patterson, David, Gonzalez, Joseph, Holzle, Urs, Le, Quoc, Liang, Chen, Munguia, Lluis-Miquel, Rothchild, Daniel, So, David R., Texier, Maud, Dean, Jeff

“…Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and…”
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ALTSched: Improved Scheduling for Time-domain Science with LSST by Rothchild, Daniel, Stubbs, Christopher, Yoachim, Peter

“…Telescope scheduling is the task of determining the best sequence of observations (pointings and filter choices) for a survey system. Because it is…”
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Accelerating Electronic Structure Calculations With Machine Learning by Rothchild, Daniel

“…New chemicals and new materials have transformed modern life: pharmaceuticals, pesticides, surfactants, alloys, catalysts, polymers, battery electrodes, and…”
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Investigating the behavior of diffusion models for accelerating electronic structure calculations by Rothchild, Daniel, Rosen, Andrew S, Taw, Eric, Robinson, Connie, Gonzalez, Joseph E, Krishnapriyan, Aditi S

“…We present an investigation of diffusion models for molecular generation, with the aim of better understanding how their predictions compare to the results of…”
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The Impact of Observing Strategy on Cosmological Constraints with LSST by Lochner, Michelle, Scolnic, Dan, Almoubayyed, Husni, Anguita, Timo, Awan, Humna, Gawiser, Eric, A Gontcho, Satya Gontcho, Graham, Melissa L., Gris, Philippe, Huber, Simon, Jha, Saurabh W., Lynne Jones, R., Kim, Alex G., Mandelbaum, Rachel, Marshall, Phil, Petrushevska, Tanja, Regnault, Nicolas, Setzer, Christian N., Suyu, Sherry H., Yoachim, Peter, Biswas, Rahul, Blaineau, Tristan, Hook, Isobel, Moniez, Marc, Neilsen, Eric, Peiris, Hiranya, Rothchild, Daniel, Stubbs, Christopher

“…The generation-defining Vera C. Rubin Observatory will make state-of-the-art measurements of both the static and transient universe through its Legacy Survey…”
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Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations by Rothchild, Daniel, Rosen, Andrew S, Taw, Eric, Robinson, Connie, Gonzalez, Joseph E, Krishnapriyan, Aditi S

“…We present an investigation into diffusion models for molecular generation, with the aim of better understanding how their predictions compare to the results…”
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C5T5: Controllable Generation of Organic Molecules with Transformers by Rothchild, Daniel, Tamkin, Alex, Yu, Julie, Misra, Ujval, Gonzalez, Joseph

“…Methods for designing organic materials with desired properties have high potential impact across fields such as medicine, renewable energy, petrochemical…”
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ALTSched: Improved Scheduling for Time-Domain Science with LSST by Rothchild, Daniel, Stubbs, Christopher, Yoachim, Peter

“…Telescope scheduling is the task of determining the best sequence of observations (pointings and filter choices) for a survey system. Because it is…”
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FetchSGD: Communication-Efficient Federated Learning with Sketching by Rothchild, Daniel, Panda, Ashwinee, Ullah, Enayat, Ivkin, Nikita, Stoica, Ion, Braverman, Vladimir, Gonzalez, Joseph, Arora, Raman

“…Existing approaches to federated learning suffer from a communication bottleneck as well as convergence issues due to sparse client participation. In this…”
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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink by Patterson, David, Gonzalez, Joseph, Hölzle, Urs, Le, Quoc, Liang, Chen, Munguia, Lluis-Miquel, Rothchild, Daniel, So, David, Texier, Maud, Dean, Jeff

“…Machine Learning (ML) workloads have rapidly grown in importance, but raised concerns about their carbon footprint. Four best practices can reduce ML training…”
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Carbon Emissions and Large Neural Network Training by Patterson, David, Gonzalez, Joseph, Le, Quoc, Liang, Chen, Munguia, Lluis-Miquel, Rothchild, Daniel, So, David, Texier, Maud, Dean, Jeff

“…The computation demand for machine learning (ML) has grown rapidly recently, which comes with a number of costs. Estimating the energy cost helps measure its…”
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SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis by Zhai, Bohan, Gao, Tianren, Xue, Flora, Rothchild, Daniel, Wu, Bichen, Gonzalez, Joseph E, Keutzer, Kurt

“…Automatic speech synthesis is a challenging task that is becoming increasingly important as edge devices begin to interact with users through speech. Typical…”
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Communication-efficient distributed SGD with Sketching by Ivkin, Nikita, Rothchild, Daniel, Ullah, Enayat, Braverman, Vladimir, Stoica, Ion, Arora, Raman

“…Large-scale distributed training of neural networks is often limited by network bandwidth, wherein the communication time overwhelms the local computation…”
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The Impact of Observing Strategy on Cosmological Constraints with LSST by Lochner, Michelle, Scolnic, Dan, Almoubayyed, Husni, Anguita, Timo, Awan, Humna, Gawiser, Eric, Gontcho, Satya Gontcho A, Gris, Philippe, Huber, Simon, Jha, Saurabh W, Jones, R. Lynne, Kim, Alex G, Mandelbaum, Rachel, Marshall, Phil, Petrushevska, Tanja, Regnault, Nicolas, Setzer, Christian N, Suyu, Sherry H, Yoachim, Peter, Biswas, Rahul, Blaineau, Tristan, Hook, Isobel, Moniez, Marc, Neilsen, Eric, Peiris, Hiranya, Rothchild, Daniel, Stubbs, Christopher

“…ApJS 259 58, 2022 The generation-defining Vera C. Rubin Observatory will make state-of-the-art measurements of both the static and transient universe through…”
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Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs by Scolnic, Daniel M, Lochner, Michelle, Gris, Phillipe, Regnault, Nicolas, Hložek, Renée, Aldering, Greg, AllamJr, Tarek, Awan, Humna, Biswas, Rahul, Blazek, Jonathan, Chang, Chihway, Gawiser, Eric, Goobar, Ariel, Hook, Isobel M, Jha, Saurabh W, McEwen, Jason D, Mandelbaum, Rachel, Marshall, Phil, Neilsen, Eric, Rhodes, Jason, Rothchild, Daniel, Noarbe, Ignacio Sevilla, Slosar, Anže, Yoachim, Peter

“…We review the measurements of dark energy enabled by observations of the Deep Drilling Fields and the optimization of survey design for cosmological…”
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Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey by Lochner, Michelle, Scolnic, Daniel M, Awan, Humna, Regnault, Nicolas, Gris, Philippe, Mandelbaum, Rachel, Gawiser, Eric, Almoubayyed, Husni, Setzer, Christian N, Huber, Simon, Graham, Melissa L, Hložek, Renée, Biswas, Rahul, Eifler, Tim, Rothchild, Daniel, AllamJr, Tarek, Blazek, Jonathan, Chang, Chihway, Collett, Thomas, Goobar, Ariel, Hook, Isobel M, Jarvis, Mike, Jha, Saurabh W, Kim, Alex G, Marshall, Phil, McEwen, Jason D, Moniez, Marc, Newman, Jeffrey A, Peiris, Hiranya V, Petrushevska, Tanja, Rhodes, Jason, Sevilla-Noarbe, Ignacio, Slosar, Anže, Suyu, Sherry H, Tyson, J. Anthony, Yoachim, Peter

“…Cosmology is one of the four science pillars of LSST, which promises to be transformative for our understanding of dark energy and dark matter. The LSST Dark…”
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