| 2026 | EACL | Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge. | Dwip Dalal, Utkarsh Mishra, Narendra Ahuja, Nebojsa Jojic |
| 2025 | EMNLP | fLSA: Learning Semantic Structures in Document Collections Using Foundation Models. | Weijia Xu, Nebojsa Jojic, Nicolas Le Roux |
| 2025 | ICASSP | Make Some Noise: Towards LLM audio reasoning and generation using sound tokens. | Shivam Mehta, Nebojsa Jojic, Hannes Gamper |
| 2024 | EACL | Investigating Agency of LLMs in Human-AI Collaboration Tasks. | Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan |
| 2024 | ICLR | PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. | Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu |
| 2024 | ICML | Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. | Weijia Xu, Andrzej Banburski, Nebojsa Jojic |
| 2023 | ACL | ThinkSum: Probabilistic reasoning over sets using large language models. | Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic |
| 2022 | ACL | Coherence boosting: When your pretrained language model is not paying enough attention. | Nikolay Malkin, Zhen Wang, Nebojsa Jojic |
| 2022 | UAI | Resolving label uncertainty with implicit posterior models. | Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic |
| 2021 | CogSci | Compositional processing emerges in neural networks solving math problems. | Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao |
| 2021 | CVPR | Multi-Label Learning From Single Positive Labels. | Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic |
| 2021 | EMNLP | Studying word order through iterative shuffling. | Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic |
| 2021 | IGARSS | From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. | Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz |
| 2021 | NAACL | GPT Perdetry Test: Generating new meanings for new words. | Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic |
| 2020 | AAAI | Human-Machine Collaboration for Fast Land Cover Mapping. | Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic |
| 2020 | ACL | Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. | Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek |
| 2020 | CVPR | Local Context Normalization: Revisiting Local Normalization. | Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic |
| 2020 | ECCV | Mining Self-similarity: Label Super-Resolution with Epitomic Representations. | Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic |
| 2020 | ICLR | FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. | Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang |
| 2020 | IGARSS | Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. | Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic |
| 2019 | CVPR | Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. | Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic |
| 2019 | ICLR | Label super-resolution networks. | Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic |
| 2018 | ACL | A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. | Shashank Srivastava, Nebojsa Jojic |
| 2018 | ICLR | 3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. | Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang |
| 2018 | ICML | WSNet: Compact and Efficient Networks Through Weight Sampling. | Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan |
| 2017 | CVPR | ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. | Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng |
| 2017 | EMNLP | Steering Output Style and Topic in Neural Response Generation. | Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg |
| 2017 | ICCV | Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences. | Alessandro Penna, Sadegh Mohammadi, Nebojsa Jojic, Vittorio Murino |
| 2016 | ECCV | ℓ ^0 ℓ 0 -Sparse Subspace Clustering. | Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang |
| 2016 | UAI | Hierarchical learning of grids of microtopics. | Nebojsa Jojic, Alessandro Perina, Dongwoo Kim |
| 2014 | MICCAI | Mapping Brains on Grids of Features for Schizophrenia Analysis. | Alessandro Perina, Denis Peruzzo, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Mellani Bellani, Paolo Brambilla, Umberto Castellani |
| 2014 | PSB | Bags of Words Models of Epitope Sets: HIV Viral Load Regression with Counting Grids. | Alessandro Perina, Pietro Lovato, Nebojsa Jojic |
| 2013 | CVPR | Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid. | Alessandro Perina, Nebojsa Jojic |
| 2013 | ICML | Efficient Ranking from Pairwise Comparisons. | Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic |
| 2012 | ECCV | Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints. | Alessandro Perina, Nebojsa Jojic |
| 2012 | KDD | Active spectral clustering via iterative uncertainty reduction. | Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan |
| 2012 | SSPR | Feature Selection Using Counting Grids: Application to Microarray Data. | Pietro Lovato, Manuele Bicego, Marco Cristani, Nebojsa Jojic, Alessandro Perina |
| 2011 | CVPR | Image analysis by counting on a grid. | Alessandro Perina, Nebojsa Jojic |
| 2011 | RECOMB | Variable Selection through Correlation Sifting. | Jim C. Huang, Nebojsa Jojic |
| 2011 | RECOMB | Nonparametric Combinatorial Sequence Models. | Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic |
| 2011 | UAI | Multidimensional counting grids: Inferring word order from disordered bags of words. | Nebojsa Jojic, Alessandro Perina |
| 2010 | ECCV | Object Recognition with Hierarchical Stel Models. | Alessandro Perina, Nebojsa Jojic, Umberto Castellani, Marco Cristani, Vittorio Murino |
| 2009 | CVPR | Stel component analysis: Modeling spatial correlations in image class structure. | Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey |
| 2009 | ICCV | A hybrid generative/discriminative classification framework based on free-energy terms. | Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic |
| 2008 | PSB | Population Sequencing Using Short Reads: HIV as a Case Study. | Vladimir Jojic, Tomer Hertz, Nebojsa Jojic |
| 2008 | RECOMB | Constructing Treatment Portfolios Using Affinity Propagation. | Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vladimir Jojic, Guri Giaever, Andrew Emili, Gabe Musso, Robert Hegele |
| 2007 | CVPR | Capturing long-range correlations with patch models. | Vincent Cheung, Nebojsa Jojic, Dimitris Samaras |
| 2007 | POPL | Program verification as probabilistic inference. | Sumit Gulwani, Nebojsa Jojic |
| 2007 | RECOMB | Reconstructing the Phylogeny of Mobile Elements. | Sean O'Rourke, Noah Zaitlen, Nebojsa Jojic, Eleazar Eskin |
| 2007 | RECOMB | Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding. | Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic |
| 2007 | UAI | Discovering Patterns in Biological Sequences by Optimal Segmentation. | Joseph Bockhorst, Nebojsa Jojic |
| 2006 | CVPR | Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. | Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick |
| 2006 | CVPR | Recursive estimation of generative models of video. | Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic |
| 2006 | ISMB | Learning MHC I - peptide binding. | Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Myers Kadie, Ora Schueler-Furman |
| 2006 | SEC | Click Passwords. | Darko Kirovski, Nebojsa Jojic, Paul Roberts |
| 2005 | AISTATS | Generative Model for Layers of Appearance and Deformation. | Anitha Kannan, Nebojsa Jojic, Brendan J. Frey |
| 2005 | AISTATS | Deformable Spectrograms. | Manuel Reyes-Gomez, Nebojsa Jojic, Daniel P. W. Ellis |
| 2005 | CVPR | Video Epitomes. | Vincent Cheung, Brendan J. Frey, Nebojsa Jojic |
| 2005 | CVPR | Interactive Montages of Sprites for Indexing and Summarizing Security Video. | Chris Pal, Nebojsa Jojic |
| 2005 | ICCV | LOCUS: Learning Object Classes with Unsupervised Segmentation. | John M. Winn, Nebojsa Jojic |
| 2005 | ICCV | Consistent Segmentation for Optical Flow Estimation. | C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang |
| 2004 | CVPR | Capturing Image Structure with Probabilistic Index Maps. | Nebojsa Jojic, Yaron Caspi |
| 2004 | CVPR | Probability Models for High Dynamic Range Imaging. | Chris Pal, Richard Szeliski, Matthew Uyttendaele, Nebojsa Jojic |
| 2004 | ICASSP | Multiband audio modeling for single-channel acoustic source separation. | Manuel J. Reyes Gomez, Daniel P. W. Ellis, Nebojsa Jojic |
| 2004 | ICASSP | Audio-visual graphical models for speech processing. | John R. Hershey, Hagai Attias, Nebojsa Jojic, Trausti T. Kristjansson |
| 2004 | ICASSP | Cryptographically secure identity certificates. | Darko Kirovski, Nebojsa Jojic |
| 2004 | Interspeech | Towards single-channel unsupervised source separation of speech mixtures: the layered harmonics/formants separation-tracking model. | Manuel Reyes-Gomez, Nebojsa Jojic, Daniel P. W. Ellis |
| 2004 | ISMB | Efficient approximations for learning phylogenetic HMM models from data. | Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman |
| 2004 | MMSP | Hierarchical video clustering. | Nemanja Petrovic, Nebojsa Jojic, Thomas S. Huang |
| 2004 | UAI | Probabilistic Index Maps for Modeling Natural Signals. | Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez |
| 2004 | UAI | Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences. | Nebojsa Jojic, Vladimir Jojic, David Heckerman |
| 2003 | AISTATS | Real-time On-line Learning of Transformed Hidden Markov Models from Video. | Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang |
| 2003 | CVPR | Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. | Brendan J. Frey, Nebojsa Jojic, Anitha Kannan |
| 2003 | DCC | FaceCerts. | Darko Kirovski, Nebojsa Jojic |
| 2003 | ICCV | Epitomic analysis of appearance and shape. | Nebojsa Jojic, Brendan J. Frey, Anitha Kannan |
| 2003 | ICIP | Scene generative models for adaptive video fast forward. | Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang |
| 2002 | ECCV | Audio-Video Sensor Fusion with Probabilistic Graphical Models. | Matthew J. Beal, Hagai Attias, Nebojsa Jojic |
| 2002 | ECCV | Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. | Chris Pal, Brendan J. Frey, Nebojsa Jojic |
| 2002 | ICASSP | A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. | Matthew J. Beal, Nebojsa Jojic, Hagai Attias |
| 2001 | AISTATS | Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. | Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman |
| 2001 | CVPR | Learning Flexible Sprites in Video Layers. | Nebojsa Jojic, Brendan J. Frey |
| 2001 | ICCV | Separating Appearance from Deformation. | Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman |
| 2000 | CVPR | Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence. | Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang, Brendan J. Frey |
| 2000 | UAI | Learning Graphical Models of Images, Videos and Their Spatial Transformations. | Brendan J. Frey, Nebojsa Jojic |
| 1999 | CVPR | Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm. | Brendan J. Frey, Nebojsa Jojic |
| 1999 | ICCV | Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components. | Brendan J. Frey, Nebojsa Jojic |
| 1999 | ICCV | Tracking Self-Occluding Articulated Objects in Dense Disparity Maps. | Nebojsa Jojic, Matthew Turk, Thomas S. Huang |
| 1998 | ACCV | 3-D Reconstruction of Multipart Self-Occluding Objects. | Nebojsa Jojic, Jin Gu, Helen C. Shen, Thomas S. Huang |
| 1998 | ACCV | On Analysis of Cloth Drape Range Data. | Nebojsa Jojic, Thomas S. Huang |
| 1998 | CVPR | Computer Modeling, Analysis and Synthesis of Dressed Humans. | Nebojsa Jojic, Jin Gu, Ivan Mak, Helen C. Shen, Thomas S. Huang |
| 1996 | ICASSP | On the use of the Karhunen-Loeve transform and expansion matching for generalized feature detection. | Dibyendu Nandy, Jezekiel Ben-Arie, Nebojsa Jojic, Zhiqian Wang, K. Raghunath Rao |
| 1996 | ICPR | A generalized expansion matching based feature extractor. | Zhiqian Wang, K. Raghunath Rao, Dibyendu Nandy, Jezekiel Ben-Arie, Nebojsa Jojic |