Risultati della ricerca - Rainforth, Tom

Active Learning with Task-Driven Representations for Messy Pools di Ashouritaklimi, Kianoosh, Rainforth, Tom

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On the Expected Size of Conformal Prediction Sets di Dhillon, Guneet S., Deligiannidis, George, Rainforth, Tom

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In-Context Learning Learns Label Relationships but Is Not Conventional Learning di Kossen, Jannik, Gal, Yarin, Rainforth, Tom

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Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support di Reichelt, Tim, Ong, Luke, Rainforth, Tom

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Making Better Use of Unlabelled Data in Bayesian Active Learning di Smith, Freddie Bickford, Foster, Adam, Rainforth, Tom

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A Geometric Approach to Optimal Experimental Design di Kerrigan, Gavin, Naesseth, Christian A., Rainforth, Tom

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Loss-Driven Bayesian Active Learning di Huang, Zhuoyue, Smith, Freddie Bickford, Rainforth, Tom

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Incorporating Unlabelled Data into Bayesian Neural Networks di Sharma, Mrinank, Rainforth, Tom, Teh, Yee Whye, Fortuin, Vincent

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Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design di Hedman, Marcel, Ivanova, Desi R., Guan, Cong, Rainforth, Tom

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Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design di Campbell, Andrew, Yim, Jason, Barzilay, Regina, Rainforth, Tom, Jaakkola, Tommi

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Prediction-Oriented Subsampling from Data Streams di Mussati, Benedetta Lavinia, Smith, Freddie Bickford, Rainforth, Tom, Roberts, Stephen

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Scaling Up Active Testing to Large Language Models di Berrada, Gabrielle, Kossen, Jannik, Smith, Freddie Bickford, Razzak, Muhammed, Gal, Yarin, Rainforth, Tom

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Rethinking Aleatoric and Epistemic Uncertainty di Smith, Freddie Bickford, Kossen, Jannik, Trollope, Eleanor, van der Wilk, Mark, Foster, Adam, Rainforth, Tom

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BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design di Choudhury, Deepro, Williamson, Sinead, Goliński, Adam, Miao, Ning, Smith, Freddie Bickford, Kirchhof, Michael, Zhang, Yizhe, Rainforth, Tom

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Shh, don't say that! Domain Certification in LLMs di Emde, Cornelius, Paren, Alasdair, Arvind, Preetham, Kayser, Maxime, Rainforth, Tom, Lukasiewicz, Thomas, Ghanem, Bernard, Torr, Philip H. S., Bibi, Adel

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Kosmos: An AI Scientist for Autonomous Discovery di Mitchener, Ludovico, Yiu, Angela, Chang, Benjamin, Bourdenx, Mathieu, Nadolski, Tyler, Sulovari, Arvis, Landsness, Eric C., Barabasi, Daniel L., Narayanan, Siddharth, Evans, Nicky, Reddy, Shriya, Foiani, Martha, Kamal, Aizad, Shriver, Leah P., Cao, Fang, Wassie, Asmamaw T., Laurent, Jon M., Melville-Green, Edwin, Caldas, Mayk, Bou, Albert, Roberts, Kaleigh F., Zagorac, Sladjana, Orr, Timothy C., Orr, Miranda E., Zwezdaryk, Kevin J., Ghareeb, Ali E., McCoy, Laurie, Gomes, Bruna, Ashley, Euan A., Duff, Karen E., Buonassisi, Tonio, Rainforth, Tom, Bateman, Randall J., Skarlinski, Michael, Rodriques, Samuel G., Hinks, Michaela M., White, Andrew D.

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