A probabilistic palimpsest model of visual short-term memory von Matthey, Loic, Bays, Paul M, Dayan, Peter

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A comparison of casting and spiraling algorithms for odor source localization in laminar flow von Lochmatter, T., Raemy, X., Matthey, L., Indra, S., Martinoli, A.

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A Probabilistic Palimpsest Model of Visual Short-term Memory: e1004003 von Matthey, Loic, Bays, Paul M, Dayan, Peter

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Experimental study of limit cycle and chaotic controllers for the locomotion of centipede robots von Matthey, L., Righetti, L., Ijspeert, A.J.

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Palimpsest Working Memory von Matthey-De-L'Endroit, Loïc

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Leveraging VLM-Based Pipelines to Annotate 3D Objects von Kabra, Rishabh, Matthey, Loic, Lerchner, Alexander, Mitra, Niloy J

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Leveraging VLM-Based Pipelines to Annotate 3D Objects von Kabra, Rishabh, Matthey, Loic, Lerchner, Alexander, Mitra, Niloy J

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SODA: Bottleneck Diffusion Models for Representation Learning von Hudson, Drew A, Zoran, Daniel, Malinowski, Mateusz, Lampinen, Andrew K, Jaegle, Andrew, McClelland, James L, Matthey, Loic, Hill, Felix, Lerchner, Alexander

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Combining Behaviors with the Successor Features Keyboard von Carvalho, Wilka, Saraiva, Andre, Filos, Angelos, Lampinen, Andrew Kyle, Matthey, Loic, Lewis, Richard L, Lee, Honglak, Singh, Satinder, Rezende, Danilo J, Zoran, Daniel

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Constellation: Learning relational abstractions over objects for compositional imagination von Whittington, James C. R, Kabra, Rishabh, Matthey, Loic, Burgess, Christopher P, Lerchner, Alexander

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Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs von Watters, Nicholas, Matthey, Loic, Burgess, Christopher P, Lerchner, Alexander

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SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition von Kabra, Rishabh, Zoran, Daniel, Erdogan, Goker, Matthey, Loic, Creswell, Antonia, Botvinick, Matthew, Lerchner, Alexander, Burgess, Christopher P

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Unsupervised Model Selection for Variational Disentangled Representation Learning von Duan, Sunny, Matthey, Loic, Saraiva, Andre, Watters, Nicholas, Burgess, Christopher P, Lerchner, Alexander, Higgins, Irina

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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration von Watters, Nicholas, Matthey, Loic, Bosnjak, Matko, Burgess, Christopher P, Lerchner, Alexander

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Scaling Instructable Agents Across Many Simulated Worlds von 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

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MONet: Unsupervised Scene Decomposition and Representation von Burgess, Christopher P, Matthey, Loic, Watters, Nicholas, Kabra, Rishabh, Higgins, Irina, Botvinick, Matt, Lerchner, Alexander

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Towards a Definition of Disentangled Representations von Higgins, Irina, Amos, David, Pfau, David, Racaniere, Sebastien, Matthey, Loic, Rezende, Danilo, Lerchner, Alexander

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AlignNet: Unsupervised Entity Alignment von Creswell, Antonia, Nikiforou, Kyriacos, Vinyals, Oriol, Saraiva, Andre, Kabra, Rishabh, Matthey, Loic, Burgess, Chris, Reynolds, Malcolm, Tanburn, Richard, Garnelo, Marta, Shanahan, Murray

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Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies von Achille, Alessandro, Eccles, Tom, Matthey, Loic, Burgess, Christopher P, Watters, Nick, Lerchner, Alexander, Higgins, Irina

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Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents von Wang, Jane X, King, Michael, Porcel, Nicolas, Kurth-Nelson, Zeb, Zhu, Tina, Deck, Charlie, Choy, Peter, Cassin, Mary, Reynolds, Malcolm, Song, Francis, Buttimore, Gavin, Reichert, David P, Rabinowitz, Neil, Matthey, Loic, Hassabis, Demis, Lerchner, Alexander, Botvinick, Matthew

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