Search Results - "Pappu, Aneesh"

MoleculeNet: a benchmark for molecular machine learning by Wu, Zhenqin, Ramsundar, Bharath, Feinberg, Evan N, Gomes, Joseph, Geniesse, Caleb, Pappu, Aneesh S, Leswing, Karl, Pande, Vijay

“…Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine…”
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Low Data Drug Discovery with One-Shot Learning by Altae-Tran, Han, Ramsundar, Bharath, Pappu, Aneesh S, Pande, Vijay

“…Recent advances in machine learning have made significant contributions to drug discovery. Deep neural networks in particular have been demonstrated to provide…”
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Genome sequences of Photorhabdus luminescens strains isolated from entomopathogenic nematodes from southern India by Mandadi, Nagesh, Hendrickson, Christopher, Handanahal, Savithri, Rajappa, Thippeswamy, Pai, Nikhita, Javeed, Saleem, Verghese, Abraham, Rai, Anil, Pappu, Aneesh, Nagaraj, Geetha, Dhingra, Amit

“…We report here draft whole genome sequences of three novel strains of Photorhabdus luminescens of 5.2–5.3Mbps in size, and with a G+C content of 42.5% (each)…”
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The antidepressant bupropion is a negative allosteric modulator of serotonin type 3A receptors by Pandhare, Akash, Pappu, Aneesh Satya, Wilms, Henrik, Blanton, Michael Paul, Jansen, Michaela

“…The FDA-approved antidepressant and smoking cessation drug bupropion is known to inhibit dopamine and norepinephrine reuptake transporters, as well as…”
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Complex Modulation of the GABAA α1β2γ2 Receptor Function by Bupropion by Thompson, Jeremy M., Pappu, Aneesh, Pandhare, Akash, Jansen, Michaela

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MoleculeNet: a benchmark for molecular machine learningElectronic supplementary information (ESI) available. See DOI: 10.1039/c7sc02664a by Wu, Zhenqin, Ramsundar, Bharath, Feinberg, Evan N, Gomes, Joseph, Geniesse, Caleb, Pappu, Aneesh S, Leswing, Karl, Pande, Vijay

“…Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine…”
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MoleculeNet: a benchmark for molecular machine learning† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc02664a by Wu, Zhenqin, Ramsundar, Bharath, Feinberg, Evan N., Gomes, Joseph, Geniesse, Caleb, Pappu, Aneesh S., Leswing, Karl, Pande, Vijay

“…A large scale benchmark for molecular machine learning consisting of multiple public datasets, metrics, featurizations and learning algorithms. Molecular…”
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Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning by Pappu, Aneesh, Paige, Brooks

“…Graph neural networks have become very popular for machine learning on molecules due to the expressive power of their learnt representations. However,…”
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Measuring memorization in RLHF for code completion by Pappu, Aneesh, Porter, Billy, Shumailov, Ilia, Hayes, Jamie

“…Reinforcement learning with human feedback (RLHF) has become the dominant method to align large models to user preferences. Unlike fine-tuning, for which there…”
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Operationalizing Contextual Integrity in Privacy-Conscious Assistants by Ghalebikesabi, Sahra, Bagdasaryan, Eugene, Yi, Ren, Yona, Itay, Shumailov, Ilia, Pappu, Aneesh, Shi, Chongyang, Weidinger, Laura, Stanforth, Robert, Berrada, Leonard, Kohli, Pushmeet, Huang, Po-Sen, Balle, Borja

“…Advanced AI assistants combine frontier LLMs and tool access to autonomously perform complex tasks on behalf of users. While the helpfulness of such assistants…”
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Do Massively Pretrained Language Models Make Better Storytellers? by See, Abigail, Pappu, Aneesh, Saxena, Rohun, Yerukola, Akhila, Manning, Christopher D

“…Large neural language models trained on massive amounts of text have emerged as a formidable strategy for Natural Language Understanding tasks. However, the…”
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Scaling Instructable Agents Across Many Simulated Worlds by SIMA Team, Raad, Maria Abi, Ahuja, Arun, Barros, Catarina, Besse, Frederic, Bolt, Andrew, Bolton, Adrian, Brownfield, Bethanie, Buttimore, Gavin, Cant, Max, Chakera, Sarah, Chan, Stephanie C. Y, Clune, Jeff, Collister, Adrian, Copeman, Vikki, Cullum, Alex, Dasgupta, Ishita, de Cesare, Dario, Di Trapani, Julia, Donchev, Yani, Dunleavy, Emma, Engelcke, Martin, Faulkner, Ryan, Garcia, Frankie, Gbadamosi, Charles, Gong, Zhitao, Gonzales, Lucy, Gupta, Kshitij, Gregor, Karol, Hallingstad, Arne Olav, Harley, Tim, Haves, Sam, Hill, Felix, Hirst, Ed, Hudson, Drew A, Hudson, Jony, Hughes-Fitt, Steph, Rezende, Danilo J, Jasarevic, Mimi, Kampis, Laura, Ke, Rosemary, Keck, Thomas, Kim, Junkyung, Knagg, Oscar, Kopparapu, Kavya, Lawton, Rory, Lampinen, Andrew, Legg, Shane, Lerchner, Alexander, Limont, Marjorie, Liu, Yulan, Loks-Thompson, Maria, Marino, Joseph, Cussons, Kathryn Martin, Matthey, Loic, Mcloughlin, Siobhan, Mendolicchio, Piermaria, Merzic, Hamza, Mitenkova, Anna, Moufarek, Alexandre, Oliveira, Valeria, Oliveira, Yanko, Openshaw, Hannah, Pan, Renke, Pappu, Aneesh, Platonov, Alex, Purkiss, Ollie, Reichert, David, Reid, John, Richemond, Pierre Harvey, Roberts, Tyson, Ruscoe, Giles, Elias, Jaume Sanchez, Sandars, Tasha, Sawyer, Daniel P, Scholtes, Tim, Simmons, Guy, Slater, Daniel, Soyer, Hubert, Strathmann, Heiko, Stys, Peter, Tam, Allison C, Teplyashin, Denis, Terzi, Tayfun, Vercelli, Davide, Vujatovic, Bojan, Wainwright, Marcus, Wang, Jane X, Wang, Zhengdong, Wierstra, Daan, Williams, Duncan, Wong, Nathaniel, York, Sarah, Young, Nick

“…Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing…”
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Low Data Drug Discovery with One-shot Learning by Altae-Tran, Han, Ramsundar, Bharath, Pappu, Aneesh S, Pande, Vijay

“…Recent advances in machine learning have made significant contributions to drug discovery. Deep neural networks in particular have been demonstrated to provide…”
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MoleculeNet: A Benchmark for Molecular Machine Learning by Wu, Zhenqin, Ramsundar, Bharath, Feinberg, Evan N, Gomes, Joseph, Geniesse, Caleb, Pappu, Aneesh S, Leswing, Karl, Pande, Vijay

“…Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine…”
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