From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach von Erdogan, Goker, Yildirim, Ilker, Jacobs, Robert A

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Visual Shape Perception as Bayesian Inference of 3D Object-Centered Shape Representations von Erdogan, Goker, Jacobs, Robert A

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From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach: e1004610 von Erdogan, Goker, Yildirim, Ilker, Jacobs, Robert A

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Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex von Erdogan, Goker, Chen, Quanjing, Garcea, Frank E, Mahon, Bradford Z, Jacobs, Robert A

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Improving fine-grained understanding in image-text pre-training von Bica, Ioana, Ilić, Anastasija, Bauer, Matthias, Erdogan, Goker, Bošnjak, Matko, Kaplanis, Christos, Gritsenko, Alexey A, Minderer, Matthias, Blundell, Charles, Pascanu, Razvan, Mitrović, Jovana

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METHODS AND SYSTEMS TO ADAPT PID COEFFICIENTS THROUGH REINFORCEMENT LEARNING von SANTINI, Fabrizio, ERDOGAN, Goker, BARRETT, Samuel, WURMAN, Peter, MACGLASHAN, James, KOMPELLA, Varun

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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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METHODS AND SYSTEMS TO ADAPT PID COEFFICIENTS THROUGH REINFORCEMENT LEARNING von SANTINI, Fabrizio, ERDOGAN, Goker, BARRETT, Samuel, WURMAN, Peter, MACGLASHAN, James, KOMPELLA, Varun

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METHODS AND SYSTEMS TO ADAPT PID COEFFICIENTS THROUGH REINFORCEMENT LEARNING von MacGlashan, James, Erdogan, Goker, Wurman, Peter, Kompella, Varun, Barrett, Samuel, Santini, Fabrizio

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METHODS AND SYSTEMS TO ADAPT PID COEFFICIENTS THROUGH REINFORCEMENT LEARNING von SANTINI, Fabrizio, ERDOGAN, Goker, BARRETT, Samuel, WURMAN, Peter, MACGLASHAN, James, KOMPELLA, Varun

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UNSUPERVISED LEARNING OF OBJECT REPRESENTATIONS FROM VIDEO SEQUENCES USING ATTENTION OVER SPACE AND TIME von Zoran, Daniel, Matthey-de-l'Endroit, Loic, Erdogan, Goker, Creswell, Antonia Phoebe Nina, Kabra, Rishabh, Botvinick, Matthew, Burgess, Christopher Paul, Lerchner, Alexander

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UNSUPERVISED LEARNING OF OBJECT REPRESENTATIONS FROM VIDEO SEQUENCES USING ATTENTION OVER SPACE AND TIME von MATTHEY-DE-L'ENDROIT, Loic, BURGESS, Christopher Paul, LERCHNER, Alexander, BOTVINICK, Matthew, ERDOGAN, Goker, KABRA, Rishabh, CRESWELL, Antonia Phoebe Nina, ZORAN, Daniel

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Improving fine-grained understanding in image-text pre-training von Bica, Ioana, Ilić, Anastasija, Bauer, Matthias, Goker Erdogan, Bošnjak, Matko, Kaplanis, Christos, Gritsenko, Alexey A, Minderer, Matthias, Blundell, Charles, Pascanu, Razvan, Mitrović, Jovana

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UNSUPERVISED LEARNING OF OBJECT REPRESENTATIONS FROM VIDEO SEQUENCES USING ATTENTION OVER SPACE AND TIME von MATTHEY-DE-L'ENDROIT, Loic, BURGESS, Christopher Paul, LERCHNER, Alexander, BOTVINICK, Matthew, ERDOGAN, Goker, KABRA, Rishabh, CRESWELL, Antonia Phoebe Nina, ZORAN, Daniel

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

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A Concept Learning Approach to Multisensory Object Perception von Nwogu, Ifeoma, Erdogan, Goker, Yildirim, Ilker, Jacobs, Robert

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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context von Daruki, Samira, Gu, Yiming, Co-Reyes, J D, Mahdieh, Mahdis, Sundararajan, Mukund, Mentzer, Fabian, He, Antoine, Ho, Lewis, Chowdhery, Aakanksha, Petrushkina, Anastasia, Patil, Piyush, Zhao, Jeffrey, Rajwar, Ravi, Kar, Arjun, Ruoxin Sang, Hand, Steven, Jain, Vihan, Sethi, Nikhil, Bolina, Vijay, Levine, Nir, Addanki, Ravi, Lin, Hanzhao, Rutherford, Eliza, Choe, HyunJeong, Rakićević, Nemanja, Thanumalayan Sankaranarayana Pillai, Huang, Ronny, Chen, Jeremy, Skerry-Ryan, R J, Sulsky, Yury, Tom Le Paine, Greer, Jeremy, Chen, Charlie, Chen, Phil, Thacker, Phoebe, Davoodi, Elnaz, Golan Pundak, Khe Chai Sim, Proleev, Lev, Baddepudi, Anirudh, Tagliasacchi, Marco, Du, Cosmo, Hu, Clara Huiyi, Martins, Danilo, Shah, Premal, Feinberg, Vladimir, Smith, Charlotte, Shakeri, Siamak, Soparkar, Kedar, Barker, David, Houlsby, Neil, Magni, Alberto, Thakoor, Shantanu, Koop, Anna, Luke Vilnis, Zilka, Lukas, Cai, Honglong, Mukarram Tariq, Kallakuri, Praveen, Ghemawat, Sanjay, Tao, David, Green, Tim, Zhou, Denny, Broder, Josef, Repina, Alena, Burns, Andrea, Chu-Cheng, Lin, Ali Eslami, S M, Simon, Jon, Tenney, Ian, Chen, Minmin, Xu, Yaming, Thibault Sellam, Fernando, Nick, Singhal, Achintya, Crocker, Remi, Liu, Tianqi, White, Anais, McCarthy, Sara, McWilliams, Brian, Zhang, Zhishuai, Felt, Nick, Shenoy, Ashish, Elisseeff, Andre, Zeng, William, Manyika, James, Bolukbasi, Tolga, Salama, Khalid, Sara Mc Carthy, Levin, Kyle, Trinh, Trieu, Bilal, Taylan, Bariach, Ben, Dhillon, Inderjit, Jurin, Ivan, Wu, Zhichun, Garg, Ankush, Cortes, Mario, Algymr, Anton, Hassabis, Demis

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강화 학습을 통해 PID 계수들을 적합화하는 방법들 및 시스템들 von SANTINI FABRIZIO, WURMAN PETER, MACGLASHAN JAMES, BARRETT SAMUEL, KOMPELLA VARUN, ERDOGAN GOKER

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공간과 시간에 따른 어텐션을 이용한 비디오 시퀀스에서 객체 표현에 대한 비지도 학습 von KABRA RISHABH, BOTVINICK MATTHEW, LERCHNER ALEXANDER, CRESWELL ANTONIA PHOEBE NINA, BURGESS CHRISTOPHER PAUL, ERDOGAN GOKER, MATTHEY DE L'ENDROIT LOIC, ZORAN DANIEL

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A Concept Learning Approach to Multisensory Object Perception von Nwogu, Ifeoma, Goker Erdogan, Yildirim, Ilker, Jacobs, Robert

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