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 (ICASSP, 1996)

A generalized expansion matching based feature extractor. - Zhiqian Wang; K. Raghunath Rao; Dibyendu Nandy; Jezekiel Ben-Arie; Nebojsa Jojic (ICPR, 1996)

3-D Reconstruction of Multipart Self-Occluding Objects. - Nebojsa Jojic; Jin Gu; Helen C. Shen; Thomas S. Huang (ACCV (2), 1998)

On Analysis of Cloth Drape Range Data. - Nebojsa Jojic; Thomas S. Huang (ACCV (2), 1998)

Computer Modeling, Analysis and Synthesis of Dressed Humans. - Nebojsa Jojic; Jin Gu; Ivan Mak; Helen C. Shen; Thomas S. Huang (CVPR, 1998)

Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm. - Brendan J. Frey; Nebojsa Jojic (CVPR, 1999)

Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components. - Brendan J. Frey; Nebojsa Jojic (ICCV, 1999)

Tracking Self-Occluding Articulated Objects in Dense Disparity Maps. - Nebojsa Jojic; Matthew Turk 001; Thomas S. Huang (ICCV, 1999)

Topographic Transformation as a Discrete Latent Variable. - Nebojsa Jojic; Brendan J. Frey (NIPS, 1999)

Computer modeling, analysis, and synthesis of dressed humans. - Nebojsa Jojic; Jin Gu; Helen C. Shen; Thomas S. Huang (IEEE Trans. Circuits Syst. Video Technol., 1999)

Computer Vision and Graphics Techniques for Modeling Dressed Humans. - Nebojsa Jojic; Thomas S. Huang (Confluence of Computer Vision and Computer Graphics, 2000)

A Framework for Garment Shopping over the Internet. - Nebojsa Jojic; Yong Rui; Yueting Zhuang; Thomas S. Huang (Handbook of Electronic Commerce, 2000)

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 (CVPR, 2000)

Detection and Estimation of Pointing Gestures in Dense Disparity Maps. - Nebojsa Jojic; Thomas S. Huang; Barry Brumitt; Brian Meyers; Steve Harris (FG, 2000)

Learning Graphical Models of Images, Videos and Their Spatial Transformations. - Brendan J. Frey; Nebojsa Jojic (UAI, 2000)

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. - Nebojsa Jojic; Patrice Y. Simard; Brendan J. Frey; David Heckerman (AISTATS, 2001)

Learning Flexible Sprites in Video Layers. - Nebojsa Jojic; Brendan J. Frey (CVPR (1), 2001)

Separating Appearance from Deformation. - Nebojsa Jojic; Patrice Y. Simard; Brendan J. Frey; David Heckerman (ICCV, 2001)

Fast, Large-Scale Transformation-Invariant Clustering. - Brendan J. Frey; Nebojsa Jojic (NIPS, 2001)

Product Analysis: Learning to Model Observations as Products of Hidden Variables. - Brendan J. Frey; Anitha Kannan; Nebojsa Jojic (NIPS, 2001)

Audio-Video Sensor Fusion with Probabilistic Graphical Models. - Matthew J. Beal; Hagai Attias; Nebojsa Jojic (ECCV (1), 2002)

Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. - Chris Pal; Brendan J. Frey; Nebojsa Jojic (ECCV (4), 2002)

A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. - Matthew J. Beal; Nebojsa Jojic; Hagai Attias (ICASSP, 2002)

Fast Transformation-Invariant Factor Analysis. - Anitha Kannan; Nebojsa Jojic; Brendan J. Frey (NIPS, 2002)

Generative Models for Computer Vision - Nebojsa Jojic (2002)

Real-time On-line Learning of Transformed Hidden Markov Models from Video. - Nemanja Petrovic; Nebojsa Jojic; Brendan J. Frey; Thomas S. Huang (AISTATS, 2003)

Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. - Brendan J. Frey; Nebojsa Jojic; Anitha Kannan (CVPR (1), 2003)

FaceCerts. - Darko Kirovski; Nebojsa Jojic (DCC, 2003)

Epitomic analysis of appearance and shape. - Nebojsa Jojic; Brendan J. Frey; Anitha Kannan (ICCV, 2003)

Scene generative models for adaptive video fast forward. - Nebojsa Jojic; Nemanja Petrovic; Thomas S. Huang (ICIP (2), 2003)

A Graphical Model for Audiovisual Object Tracking. - Matthew J. Beal; Nebojsa Jojic; Hagai Attias (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Transformation-Invariant Clustering Using the EM Algorithm. - Brendan J. Frey; Nebojsa Jojic (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Capturing Image Structure with Probabilistic Index Maps. - Nebojsa Jojic; Yaron Caspi (CVPR (1), 2004)

Probability Models for High Dynamic Range Imaging. - Chris Pal; Richard Szeliski; Matthew Uyttendaele; Nebojsa Jojic (CVPR (2), 2004)

Multiband audio modeling for single-channel acoustic source separation. - Manuel J. Reyes Gomez; Daniel P. W. Ellis; Nebojsa Jojic (ICASSP (5), 2004)

Audio-visual graphical models for speech processing. - John R. Hershey; Hagai Attias; Nebojsa Jojic; Trausti T. Kristjansson (ICASSP (5), 2004)

Cryptographically secure identity certificates. - Darko Kirovski; Nebojsa Jojic (ICASSP (5), 2004)

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 (SAPA@INTERSPEECH, 2004)

Efficient approximations for learning phylogenetic HMM models from data. - Vladimir Jojic; Nebojsa Jojic; Christopher Meek; Dan Geiger; Adam C. Siepel; David Haussler; David Heckerman (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Tamper-Resistant Biometric IDs. - Darko Kirovski; Nebojsa Jojic; Gavin Jancke (ISSE, 2004)

Hierarchical video clustering. - Nemanja Petrovic; Nebojsa Jojic; Thomas S. Huang (MMSP, 2004)

A Generative Model of Dense Optical Flow in Layers. - Anitha Kannan; Brendan J. Frey; Nebojsa Jojic (SCVMA, 2004)

Probabilistic Index Maps for Modeling Natural Signals. - Nebojsa Jojic; Yaron Caspi; Manuel Reyes-Gomez (UAI, 2004)

Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences. - Nebojsa Jojic; Vladimir Jojic; David Heckerman (UAI, 2004)

Generative Model for Layers of Appearance and Deformation. - Anitha Kannan; Nebojsa Jojic; Brendan J. Frey (AISTATS, 2005)

Deformable Spectrograms. - Manuel Reyes-Gomez; Nebojsa Jojic; Daniel P. W. Ellis (AISTATS, 2005)

Interactive Montages of Sprites for Indexing and Summarizing Security Video. - Chris Pal; Nebojsa Jojic (CVPR (2), 2005)

LOCUS: Learning Object Classes with Unsupervised Segmentation. - John M. Winn; Nebojsa Jojic (ICCV, 2005)

Consistent Segmentation for Optical Flow Estimation. - C. Lawrence Zitnick; Nebojsa Jojic; Sing Bing Kang (ICCV, 2005)

Using epitomes to model genetic diversity: Rational design of HIV vaccines. - Nebojsa Jojic; Vladimir Jojic; Brendan J. Frey; Christopher Meek; David Heckerman (NIPS, 2005)

Q-Clustering. - Mukund Narasimhan; Nebojsa Jojic; Jeff A. Bilmes (NIPS, 2005)

Adaptive Video Fast Forward. - Nemanja Petrovic; Nebojsa Jojic; Thomas S. Huang (Multim. Tools Appl., 2005)

A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models. - Brendan J. Frey; Nebojsa Jojic (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. - Nebojsa Jojic; John M. Winn; C. Lawrence Zitnick (CVPR (1), 2006)

Recursive estimation of generative models of video. - Nemanja Petrovic; Aleksandar Ivanovic; Nebojsa Jojic (CVPR (1), 2006)

Learning MHC I - peptide binding. - Nebojsa Jojic; Manuel Reyes-Gomez; David Heckerman; Carl Myers Kadie; Ora Schueler-Furman (ISMB (Supplement of Bioinformatics), 2006)

Click Passwords. - Darko Kirovski; Nebojsa Jojic; Paul Roberts (SEC, 2006)

Capturing long-range correlations with patch models. - Vincent Cheung; Nebojsa Jojic; Dimitris Samaras (CVPR, 2007)

Program verification as probabilistic inference. - Sumit Gulwani; Nebojsa Jojic (POPL, 2007)

Reconstructing the Phylogeny of Mobile Elements. - Sean O'Rourke; Noah Zaitlen; Nebojsa Jojic; Eleazar Eskin (RECOMB, 2007)

Discovering Patterns in Biological Sequences by Optimal Segmentation. - Joseph Bockhorst; Nebojsa Jojic (UAI, 2007)

Coping with Viral Diversity in HIV Vaccine Design. - David C. Nickle; Morgane Rolland; Mark A. Jensen; Sergei L. Kosakovsky Pond; Wenjie Deng; Mark Seligman; David Heckerman; James I. Mullins; Nebojsa Jojic (PLoS Comput. Biol., 2007)

Population Sequencing Using Short Reads: HIV as a Case Study. - Vladimir Jojic; Tomer Hertz; Nebojsa Jojic (Pacific Symposium on Biocomputing, 2008)

Constructing Treatment Portfolios Using Affinity Propagation. - Delbert Dueck; Brendan J. Frey; Nebojsa Jojic; Vladimir Jojic; Guri Giaever; Andrew Emili; Gabe Musso; Robert Hegele (RECOMB, 2008)

Video Epitomes. - Vincent Cheung; Brendan J. Frey; Nebojsa Jojic (Int. J. Comput. Vis., 2008)

Fast Transformation-Invariant Component Analysis. - Anitha Kannan; Nebojsa Jojic; Brendan J. Frey (Int. J. Comput. Vis., 2008)

Shift-Invariant Adaptive Double Threading: Learning MHC II-Peptide Binding. - Noah Zaitlen; Manuel Reyes-Gomez; David Heckerman; Nebojsa Jojic (J. Comput. Biol., 2008)

Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al. - David C. Nickle; Nebojsa Jojic; David Heckerman; Vladimir Jojic; Darko Kirovski; Morgane Rolland; Sergei L. Kosakovsky Pond; James I. Mullins (PLoS Comput. Biol., 2008)

Stel component analysis: Modeling spatial correlations in image class structure. - Nebojsa Jojic; Alessandro Perina; Marco Cristani; Vittorio Murino; Brendan J. Frey (CVPR, 2009)

A hybrid generative/discriminative classification framework based on free-energy terms. - Alessandro Perina; Marco Cristani; Umberto Castellani; Vittorio Murino; Nebojsa Jojic (ICCV, 2009)

Speech separation by efficient combinatorial decoding of speech mixtures. - Manuel Reyes-Gomez; Nebojsa Jojic (ICME, 2009)

Free energy score space. - Alessandro Perina; Marco Cristani; Umberto Castellani; Vittorio Murino; Nebojsa Jojic (NIPS, 2009)

Object Recognition with Hierarchical Stel Models. - Alessandro Perina; Nebojsa Jojic; Umberto Castellani; Marco Cristani; Vittorio Murino (ECCV (6), 2010)

Exact inference and learning for cumulative distribution functions on loopy graphs. - Jim C. Huang; Nebojsa Jojic; Christopher Meek (NIPS, 2010)

Structural epitome: a way to summarize one's visual experience. - Nebojsa Jojic; Alessandro Perina; Vittorio Murino (NIPS, 2010)

Maximum-likelihood learning of cumulative distribution functions on graphs. - Jim C. Huang; Nebojsa Jojic (AISTATS, 2010)

Image analysis by counting on a grid. - Alessandro Perina; Nebojsa Jojic (CVPR, 2011)

Variable Selection through Correlation Sifting. - Jim C. Huang; Nebojsa Jojic (RECOMB, 2011)

Multidimensional counting grids: Inferring word order from disordered bags of words. - Nebojsa Jojic; Alessandro Perina (UAI, 2011)

Nonparametric Combinatorial Sequence Models. - Fabian L. Wauthier; Michael I. Jordan; Nebojsa Jojic (J. Comput. Biol., 2011)

Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints. - Alessandro Perina; Nebojsa Jojic (ECCV (6), 2012)

Active spectral clustering via iterative uncertainty reduction. - Fabian L. Wauthier; Nebojsa Jojic; Michael I. Jordan (KDD, 2012)

Feature Selection Using Counting Grids: Application to Microarray Data. - Pietro Lovato; Manuele Bicego; Marco Cristani; Nebojsa Jojic; Alessandro Perina (SSPR/SPR, 2012)

Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. - Boyko Kakaradov; Hui Yuan Xiong; Leo J. Lee; Nebojsa Jojic; Brendan J. Frey (BMC Bioinform., 2012)

Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes. - Alessandro Perina; Nebojsa Jojic; Marco Cristani; Vittorio Murino (Int. J. Comput. Vis., 2012)

Free Energy Score Spaces: Using Generative Information in Discriminative Classifiers. - Alessandro Perina; Marco Cristani; Umberto Castellani; Vittorio Murino; Nebojsa Jojic (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid. - Alessandro Perina; Nebojsa Jojic (CVPR, 2013)

Efficient Ranking from Pairwise Comparisons. - Fabian L. Wauthier; Michael I. Jordan; Nebojsa Jojic (ICML (3), 2013)

Documents as multiple overlapping windows into grids of counts. - Alessandro Perina; Nebojsa Jojic; Manuele Bicego; Andrzej Truski (NIPS, 2013)

A Comparative Framework for Preconditioned Lasso Algorithms. - Fabian L. Wauthier; Nebojsa Jojic; Michael I. Jordan (NIPS, 2013)

In the sight of my wearable camera: Classifying my visual experience - Alessandro Perina; Nebojsa Jojic (CoRR, 2013)

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 (MICCAI (2), 2014)

Bags of Words Models of Epitope Sets: HIV Viral Load Regression with Counting Grids. - Alessandro Perina; Pietro Lovato; Nebojsa Jojic (Pacific Symposium on Biocomputing, 2014)

Iterative Refinement of Approximate Posterior for Training Directed Belief Networks. - R. Devon Hjelm; Kyunghyun Cho; Junyoung Chung; Ruslan Salakhutdinov; Vince D. Calhoun; Nebojsa Jojic (CoRR, 2015)

Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features. - Alessandro Perina; Nebojsa Jojic (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

ℓ ^0 ℓ 0 -Sparse Subspace Clustering. - Yingzhen Yang; Jiashi Feng; Nebojsa Jojic; Jianchao Yang; Thomas S. Huang (ECCV (2), 2016)

Iterative Refinement of the Approximate Posterior for Directed Belief Networks. - R. Devon Hjelm; Russ Salakhutdinov; Kyunghyun Cho; Nebojsa Jojic; Vince D. Calhoun; Junyoung Chung (NIPS, 2016)

Hierarchical learning of grids of microtopics. - Nebojsa Jojic; Alessandro Perina; Dongwoo Kim 002 (UAI, 2016)

Traveling on discrete embeddings of gene expression. - Pietro Lovato; Manuele Bicego; Maria Kesa; Nebojsa Jojic; Vittorio Murino; Alessandro Perina (Artif. Intell. Medicine, 2016)

ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. - Zhanning Gao; Gang Hua 001; Dongqing Zhang; Nebojsa Jojic; Le Wang 003; Jianru Xue; Nanning Zheng 001 (CVPR, 2017)

Steering Output Style and Topic in Neural Response Generation. - Di Wang 030; Nebojsa Jojic; Chris Brockett; Eric Nyberg (EMNLP, 2017)

Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences. - Alessandro Penna; Sadegh Mohammadi 001; Nebojsa Jojic; Vittorio Murino (ICCV, 2017)

On the Suboptimality of Proximal Gradient Descent for $ ell^{0}$ Sparse Approximation. - Yingzhen Yang; Jiashi Feng; Nebojsa Jojic; Jianchao Yang; Thomas S. Huang (CoRR, 2017)

Discriminative Similarity for Clustering and Semi-Supervised Learning. - Yingzhen Yang; Feng Liang 002; Nebojsa Jojic; Shuicheng Yan; Jiashi Feng; Thomas S. Huang (CoRR, 2017)

Discovering Order in Unordered Datasets: Generative Markov Networks. - Yao-Hung Hubert Tsai; Han Zhao 002; Ruslan Salakhutdinov; Nebojsa Jojic (CoRR, 2017)

A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. - Shashank Srivastava; Nebojsa Jojic (ACL (1), 2018)

3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. - Yingzhen Yang; Jianchao Yang; Ning Xu 001; Wei Han 002; Nebojsa Jojic; Thomas S. Huang (ICLR (Workshop), 2018)

WSNet: Compact and Efficient Networks Through Weight Sampling. - Xiaojie Jin; Yingzhen Yang; Ning Xu 001; Jianchao Yang; Nebojsa Jojic; Jiashi Feng; Shuicheng Yan (ICML, 2018)

Subspace Learning by ℓ0-Induced Sparsity. - Yingzhen Yang; Jiashi Feng; Nebojsa Jojic; Jianchao Yang; Thomas S. Huang (Int. J. Comput. Vis., 2018)

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 (CVPR, 2019)

Label super-resolution networks. - Kolya Malkin; Caleb Robinson; Le Hou; Rachel Soobitsky; Jacob Czawlytko; Dimitris Samaras; Joel H. Saltz; Lucas Joppa; Nebojsa Jojic (ICLR (Poster), 2019)

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. - Yingzhen Yang; Nebojsa Jojic; Jun Huan (CoRR, 2019)

Label Super Resolution with Inter-Instance Loss. - Maozheng Zhao; Le Hou; Han Le; Dimitris Samaras; Nebojsa Jojic; Danielle Fassler; Tahsin M. Kurç; Rajarsi R. Gupta; Kolya Malkin; Shahira Abousamra; Kenneth Shroyer; Joel H. Saltz (CoRR, 2019)

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. - Imanol Schlag; Paul Smolensky; Roland Fernandez; Nebojsa Jojic; Jürgen Schmidhuber; Jianfeng Gao 001 (CoRR, 2019)

A deep active learning system for species identification and counting in camera trap images. - Mohammad Sadegh Norouzzadeh; Dan Morris 001; Sara Beery; Neel Joshi; Nebojsa Jojic; Jeff Clune (CoRR, 2019)

Video Imprint. - Zhanning Gao; Le Wang 003; Nebojsa Jojic; Zhenxing Niu; Nanning Zheng 001; Gang Hua 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Human-Machine Collaboration for Fast Land Cover Mapping. - Caleb Robinson; Anthony Ortiz; Kolya Malkin; Blake Elias; Andi Peng; Dan Morris 001; Bistra Dilkina; Nebojsa Jojic (AAAI, 2020)

Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. - Shashank Srivastava; Oleksandr Polozov; Nebojsa Jojic; Christopher Meek (ACL, 2020)

Local Context Normalization: Revisiting Local Normalization. - Anthony Ortiz; Caleb Robinson; Dan Morris 001; Olac Fuentes; Christopher Kiekintveld; Md Mahmudulla Hassan; Nebojsa Jojic (CVPR, 2020)

Mining Self-similarity: Label Super-Resolution with Epitomic Representations. - Nikolay Malkin; Anthony Ortiz; Nebojsa Jojic (ECCV (26), 2020)

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. - Yingzhen Yang; Jiahui Yu; Nebojsa Jojic; Jun Huan; Thomas S. Huang (ICLR, 2020)

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. - Caleb Robinson; Kolya Malkin; Lucas Hu; Bistra Dilkina; Nebojsa Jojic (IGARSS, 2020)

The GeoLifeCLEF 2020 Dataset. - Elijah Cole; Benjamin Deneu; Titouan Lorieul; Maximilien Servajean; Christophe Botella; Dan Morris 001; Nebojsa Jojic; Pierre Bonnet; Alexis Joly (CoRR, 2020)

Mining self-similarity: Label super-resolution with epitomic representations. - Kolya Malkin; Anthony Ortiz; Caleb Robinson; Nebojsa Jojic (CoRR, 2020)

Compositional processing emerges in neural networks solving math problems. - Jacob L. Russin; Roland Fernandez; Hamid Palangi; Eric Rosen; Nebojsa Jojic; Paul Smolensky; Jianfeng Gao 001 (CogSci, 2021)

Multi-Label Learning From Single Positive Labels. - Elijah Cole; Oisin Mac Aodha; Titouan Lorieul; Pietro Perona; Dan Morris 001; Nebojsa Jojic (CVPR, 2021)

Studying word order through iterative shuffling. - Nikolay Malkin; Sameera Lanka; Pranav Goel 001; Nebojsa Jojic (EMNLP (1), 2021)

From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. - Nebojsa Jojic; Nikolay Malkin; Caleb Robinson; Anthony Ortiz (IGARSS, 2021)

GPT Perdetry Test: Generating new meanings for new words. - Nikolay Malkin; Sameera Lanka; Pranav Goel 001; Sudha Rao; Nebojsa Jojic (NAACL-HLT, 2021)

High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. - Nikolay Malkin; Caleb Robinson; Nebojsa Jojic (CoRR, 2021)

Boosting coherence of language models. - Nikolay Malkin; Zhen Wang 041; Nebojsa Jojic (CoRR, 2021)

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. - Caleb Robinson; Kolya Malkin; Nebojsa Jojic; Huijun Chen; Rongjun Qin; Changlin Xiao; Michael Schmitt 003; Pedram Ghamisi; Ronny Hänsch; Naoto Yokoya (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Coherence boosting: When your pretrained language model is not paying enough attention. - Nikolay Malkin; Zhen Wang 041; Nebojsa Jojic (ACL (1), 2022)

Diffusion Models as Plug-and-Play Priors. - Alexandros Graikos; Nikolay Malkin; Nebojsa Jojic; Dimitris Samaras (NeurIPS, 2022)

Resolving label uncertainty with implicit posterior models. - Esther Rolf; Nikolay Malkin; Alexandros Graikos; Ana Jojic; Caleb Robinson; Nebojsa Jojic (UAI, 2022)

The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. - Zhuohong Li; Fangxiao Lu; Hongyan Zhang 001; Lilin Tu; Jiayi Li 001; Xin Huang 002; Caleb Robinson; Nikolay Malkin; Nebojsa Jojic; Pedram Ghamisi; Ronny Hänsch; Naoto Yokoya (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

ThinkSum: Probabilistic reasoning over sets using large language models. - Batu Ozturkler; Nikolay Malkin; Zhen Wang 041; Nebojsa Jojic (ACL (1), 2023)

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. - Ida Momennejad; Hosein Hasanbeig; Felipe Vieira Frujeri; Hiteshi Sharma; Nebojsa Jojic; Hamid Palangi; Robert Osazuwa Ness; Jonathan Larson (NeurIPS, 2023)

GPT is becoming a Turing machine: Here are some ways to program it. - Ana Jojic; Zhen Wang 041; Nebojsa Jojic (CoRR, 2023)

Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks. - Ashish Sharma; Sudha Rao; Chris Brockett; Akanksha Malhotra; Nebojsa Jojic; Bill Dolan (CoRR, 2023)

GRIM: GRaph-based Interactive narrative visualization for gaMes. - Jorge Leandro; Sudha Rao; Michael Xu; Weijia Xu; Nebojsa Jojic; Chris Brockett; Bill Dolan (CoRR, 2023)

GENEVA: GENErating and Visualizing branching narratives using LLMs. - Jorge Leandro; Sudha Rao; Michael Xu; Weijia Xu; Nebojsa Jojic; Chris Brockett; Bill Dolan (CoG, 2024)

Player-Driven Emergence in LLM-Driven Game Narrative. - Xiangyu Peng; Jessica Quaye; Sudha Rao; Weijia Xu; Portia Botchway; Chris Brockett; Nebojsa Jojic; Gabriel DesGarennes; Ken Lobb; Michael Xu; Jorge Leandro; Claire Jin; et al. (CoG, 2024)

Investigating Agency of LLMs in Human-AI Collaboration Tasks. - Ashish Sharma; Sudha Rao; Chris Brockett; Akanksha Malhotra; Nebojsa Jojic; Bill Dolan (EACL (1), 2024)

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. - Xinyuan Wang 010; Chenxi Li; Zhen Wang 041; Fan Bai 006; Haotian Luo; Jiayou Zhang; Nebojsa Jojic; Eric P. Xing; Zhiting Hu (ICLR, 2024)

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. - Weijia Xu; Andrzej Banburski; Nebojsa Jojic (ICML, 2024)

Player-Driven Emergence in LLM-Driven Game Narrative. - Xiangyu Peng; Jessica Quaye; Weijia Xu; Chris Brockett; Bill Dolan; Nebojsa Jojic; Gabriel DesGarennes; Ken Lobb; Michael Xu; Jorge Leandro; Claire Jin; Sudha Rao (CoRR, 2024)

fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models. - Weijia Xu; Nebojsa Jojic; Nicolas Le Roux (CoRR, 2024)

Fast constrained sampling in pre-trained diffusion models. - Alexandros Graikos; Nebojsa Jojic; Dimitris Samaras (CoRR, 2024)

Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers. - Seyed Hossein Alavi; Weijia Xu; Nebojsa Jojic; Daniel Kennett; Raymond T. Ng; Sudha Rao; Haiyan Zhang; Bill Dolan; Vered Shwartz (CoRR, 2024)

Make Some Noise: Towards LLM audio reasoning and generation using sound tokens. - Shivam Mehta; Nebojsa Jojic; Hannes Gamper (ICASSP, 2025)

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs. - Weijia Xu; Nebojsa Jojic; Sudha Rao; Chris Brockett; Bill Dolan (CoRR, 2025)

Differentiable Channel Selection in Self-Attention For Person Re-Identification. - Yancheng Wang; Nebojsa Jojic; Yingzhen Yang (CoRR, 2025)