| 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 | 428 | 2015 |
| Efficient inverse graphics in biological face processing I Yildirim, M Belledonne, W Freiwald, J Tenenbaum Science advances 6 (10), eaax5979, 2020 | 186* | 2020 |
| 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 | 180* | 2019 |
| Self-supervised intrinsic image decomposition M Janner, J Wu, TD Kulkarni, I Yildirim, J Tenenbaum Advances in neural information processing systems 30, 2017 | 137 | 2017 |
| Bayesian inference: Gibbs sampling I Yildirim Technical Note, University of Rochester, 2012 | 110 | 2012 |
| Talker-specificity and adaptation in quantifier interpretation I Yildirim, J Degen, MK Tanenhaus, TF Jaeger Journal of Memory and Language, 2015 | 88 | 2015 |
| Bayesian inference: Metropolis-hastings sampling I Yildirim Dept. of Brain and Cognitive Sciences, Univ. of Rochester, Rochester, NY, 2012 | 77 | 2012 |
| Transfer of Object Category Knowledge Across Visual and Haptic Modalities: Experimental and Computational Studies I Yildirim, RA Jacobs Cognition 126, 135-148, 2013 | 61 | 2013 |
| 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 | 47 | 2015 |
| 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 | 44 | 2014 |
| A Rational Analysis of the Acquisition of Multisensory Representations İ Yildirim, RA Jacobs Cognitive Science 36 (2), 305-332, 2012 | 41 | 2012 |
| When are lemons purple? the concept association bias of vision-language models Y Tang, Y Yamada, Y Zhang, I Yildirim Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 36* | 2023 |
| From task structures to world models: What do LLMs know? I Yildirim, LA Paul Trends in Cognitive Sciences, 2023 | 36 | 2023 |
| An integrative computational architecture for object-driven cortex I Yildirim, J Wu, N Kanwisher, J Tenenbaum Current opinion in neurobiology 55, 73-81, 2019 | 34 | 2019 |
| 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 | 29 | 2013 |
| Deep Generative Vision as Approximate Bayesian Computation TD Kulkarni, I Yildirim, P Kohli, WA Freiwald, JB Tenenbaum NIPS 2014 ABC Workshop, 2014 | 22 | 2014 |
| 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 | 19 | 2017 |
| 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 | 16 | 2019 |
| Evaluating Spatial Understanding of Large Language Models Y Yamada, Y Bao, AK Lampinen, J Kasai, I Yildirim Transactions in Machine Learning Research, 2023 | 15 | 2023 |
| Perceiving Fully Occluded Objects via Physical Simulation. I Yildirim, M Siegel, JB Tenenbaum Thirty-Eight Annual Conference of the Cognitive Science Society., 2016 | 13 | 2016 |
