Ilker Yildirim

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Joshua B. TenenbaumMITEmail confirmado em mit.edu
Jiajun WuStanford UniversityEmail confirmado em cs.stanford.edu
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterEmail confirmado em bcs.rochester.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyEmail confirmado em mit.edu
Mario BelledonneYale UniversityEmail confirmado em yale.edu
Joseph J. LimAssociate Professor at KAISTEmail confirmado em csail.mit.edu
Peter BattagliaResearch Scientist, DeepMindEmail confirmado em google.com
Christopher J. BatesPostdoctoral Fellow, Harvard PsychologyEmail confirmado em g.harvard.edu
Tim Florian JaegerBrain and Cognitive Sciences, University of RochesterEmail confirmado em ur.rochester.edu
Michael K TanenhausBeverly Petterson Bishop and Charles W. Bishop Professor of Brain and Cognitive Sciences, EmeritusEmail confirmado em ur.rochester.edu
Judith DegenAssistant professor, Stanford University (Linguistics)Email confirmado em stanford.edu
Goker ErdoganResearch Scientist at DeepMindEmail confirmado em bcs.rochester.edu
Tobias GerstenbergStanford UniversityEmail confirmado em stanford.edu
Pushmeet KohliDeepMindEmail confirmado em google.com
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyEmail confirmado em tu-berlin.de
Pınar YolumUtrecht UniversityEmail confirmado em uu.nl
Christian WallravenKorea UniversityEmail confirmado em korea.ac.kr
Lale AkarunProfessor of Computer Engineering, Bogazici UniversityEmail confirmado em boun.edu.tr
Oya AranProfessor, De La Salle UniversityEmail confirmado em dlsu.edu.ph
Ifeoma NwoguComputer Science and Engineering, University at Buffalo, SUNYEmail confirmado em buffalo.edu

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Ilker Yildirim

Yale University

Email confirmado em yale.edu - Página inicial

cognitive science neuroscience artificial intelligence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Galileo: Perceiving physical object properties by integrating a physics engine with deep learning J Wu, I Yildirim*, J Lim, WT Freeman, JB Tenenbaum NIPS, 2015	329	2015
Humans predict liquid dynamics using probabilistic simulation. C Bates, PW Battaglia, I Yildirim, JB Tenenbaum CogSci, 2015	108	2015
Self-supervised intrinsic image decomposition M Janner, J Wu, TD Kulkarni, I Yildirim, J Tenenbaum Advances in neural information processing systems 30, 2017	89	2017
Bayesian inference: Gibbs sampling I Yildirim Technical Note, University of Rochester, 2012	84	2012
Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and comparison with neural representations I Yildirim, TD Kulkarni, WA Freiwald, JB Tenenbaum Thirty-Seventh Annual Conference of the Cognitive Science Society, 2015	74*	2015
Talker-specificity and adaptation in quantifier interpretation I Yildirim, J Degen, MK Tanenhaus, TF Jaeger Journal of Memory and Language, 2015	72	2015
Bayesian inference: Metropolis-hastings sampling I Yildirim Dept. of Brain and Cognitive Sciences, Univ. of Rochester, Rochester, NY, 2012	55	2012
Efficient inverse graphics in biological face processing I Yildirim, M Belledonne, W Freiwald, J Tenenbaum Science advances 6 (10), eaax5979, 2020	51	2020
Transfer of Object Category Knowledge Across Visual and Haptic Modalities: Experimental and Computational Studies I Yildirim, RA Jacobs Cognition 126, 135-148, 2013	51	2013
Learning Multisensory Representations for Auditory-Visual Transfer of Sequence Category Knowledge: A Probabilistic Language of Thought Approach I Yildirim, RA Jacobs Psychonomic Bulletin & Review, 2014	34	2014
A Rational Analysis of the Acquisition of Multisensory Representations İ Yildirim, RA Jacobs Cognitive Science 36 (2), 305-332, 2012	33	2012
From sensory signals to modality-independent conceptual representations: A probabilistic language of thought approach G Erdogan, I Yildirim, RA Jacobs PLoS computational biology 11 (11), e1004610, 2015	31	2015
Linguistic Variability and Adaptation in Quantifier Meanings I Yildirim, J Degen, MK Tanenhaus, TF Jaeger Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science …, 2013	26	2013
Modeling human intuitions about liquid flow with particle-based simulation CJ Bates, I Yildirim, JB Tenenbaum, P Battaglia PLoS computational biology 15 (7), e1007210, 2019	22	2019
Deep Generative Vision as Approximate Bayesian Computation TD Kulkarni, I Yildirim, P Kohli, WA Freiwald, JB Tenenbaum NIPS 2014 ABC Workshop, 2014	22	2014
An integrative computational architecture for object-driven cortex I Yildirim, J Wu, N Kanwisher, J Tenenbaum Current opinion in neurobiology 55, 73-81, 2019	20	2019
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints I Yildirim, T Gerstenberg, B Saeed, M Toussaint, J Tenenbaum arXiv preprint arXiv:1707.08212, 2017	15	2017
Causal and compositional generative models in online perception. I Yildirim, M Janner, M Belledonne, C Wallraven, W Freiwald, ... CogSci, 2017	9	2017
Transfer of object shape knowledge across visual and haptic modalities G Erdogan, I Yildirim, RA Jacobs Thirty-Sixth Annual Conference of the Cognitive Science Society., 2014	9	2014
Explaining intuitive difficulty judgments by modeling physical effort and risk I Yildirim, B Saeed, G Bennett-Pierre, T Gerstenberg, J Tenenbaum, ... arXiv preprint arXiv:1905.04445, 2019	7	2019

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