| 2025 | ICML | Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees. | Nate Veldt, Thomas Stanley, Benjamin W. Priest, Trevor Steil, Keita Iwabuchi, T. S. Jayram, Geoffrey Sanders |
| 2024 | CVPR | 'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning. | Joshua Feinglass, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Yezhou Yang |
| 2024 | ICASSP | Exploring the Utility of Clip Priors for Visual Relationship Prediction. | Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2023 | WACV | Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. | Rakshith Subramanyam, Mark Heimann, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2022 | PODS | The White-Box Adversarial Data Stream Model. | Mikls Ajtai, Vladimir Braverman, T. S. Jayram, Sandeep Silwal, Alec Sun, David P. Woodruff, Samson Zhou |
| 2019 | CogSci | Controlling Attention in a Memory-Augmented Neural Network To Solve Working Memory Tasks. | T. S. Jayram, Younes Bouhadjar, Tomasz Kornuta, Ryan L. McAvoy, Alexis Asseman, Ahmet S. Ozcan |
| 2018 | ICMLA | Using Multi-task and Transfer Learning to Solve Working Memory Tasks. | T. S. Jayram, Tomasz Kornuta, Ryan L. McAvoy, Ahmet S. Ozcan |
| 2018 | SODA | Simple Analyses of the Sparse Johnson-Lindenstrauss Transform. | Michael B. Cohen, T. S. Jayram, Jelani Nelson |
| 2018 | SODA | Resource-Efficient Common Randomness and Secret-Key Schemes. | Badih Ghazi, T. S. Jayram |
| 2017 | ICALP | Randomized Communication vs. Partition Number. | Mika Gs, T. S. Jayram, Toniann Pitassi, Thomas Watson |
| 2013 | AAAI | Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems. | Vikas K. Garg, T. S. Jayram, Balakrishnan Narayanaswamy |
| 2013 | ITW | On the information complexity of cascaded norms with small domains. | T. S. Jayram |
| 2011 | SODA | Optimal Bounds for Johnson-Lindenstrauss Transforms and Streaming Problems with Sub-Constant Error. | T. S. Jayram, David P. Woodruff |
| 2010 | PODS | Information complexity: a tutorial. | T. S. Jayram |
| 2010 | SODA | Lower Bounds for Edit Distance and Product Metrics via Poincar-Type Inequalities. | Alexandr Andoni, T. S. Jayram, Mihai Patrascu |
| 2009 | FOCS | The Data Stream Space Complexity of Cascaded Norms. | T. S. Jayram, David P. Woodruff |
| 2008 | SODA | Tight lower bounds for selection in randomly ordered streams. | Amit Chakrabarti, T. S. Jayram, Mihai Patrascu |
| 2007 | PODS | Estimating statistical aggregates on probabilistic data streams. | T. S. Jayram, Andrew McGregor, S. Muthukrishnan, Erik Vee |
| 2007 | SODA | Estimating the sortedness of a data stream. | Parikshit Gopalan, T. S. Jayram, Robert Krauthgamer, Ravi Kumar |
| 2007 | SODA | Efficient aggregation algorithms for probabilistic data. | T. S. Jayram, Satyen Kale, Erik Vee |
| 2007 | STOC | Lower bounds for randomized read/write stream algorithms. | Paul Beame, T. S. Jayram, Atri Rudra |
| 2006 | FOCS | Index Coding with Side Information. | Ziv Bar-Yossef, Yitzhak Birk, T. S. Jayram, Tomer Kol |
| 2006 | PODS | The containment problem for REAL conjunctive queries with inequalities. | T. S. Jayram, Phokion G. Kolaitis, Erik Vee |
| 2006 | VLDB | Efficient Allocation Algorithms for OLAP Over Imprecise Data. | Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan |
| 2005 | VLDB | OLAP Over Uncertain and Imprecise Data. | Douglas Burdick, Prasad Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan |
| 2004 | FOCS | Approximating Edit Distance Efficiently. | Ziv Bar-Yossef, T. S. Jayram, Robert Krauthgamer, Ravi Kumar |
| 2004 | ISAIM | Generalized Opinion Pooling. | Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu |
| 2004 | STOC | Exponential separation of quantum and classical one-way communication complexity. | Ziv Bar-Yossef, T. S. Jayram, Iordanis Kerenidis |
| 2003 | STOC | Cell-probe lower bounds for the partial match problem. | T. S. Jayram, Subhash Khot, Ravi Kumar, Yuval Rabani |
| 2003 | STOC | Two applications of information complexity. | T. S. Jayram, Ravi Kumar, D. Sivakumar |
| 2002 | FOCS | An Information Statistics Approach to Data Stream and Communication Complexity. | Ziv Bar-Yossef, T. S. Jayram, Ravi Kumar, D. Sivakumar |
| 2002 | STOC | Approximate counting of inversions in a data stream. | Mikls Ajtai, T. S. Jayram, Ravi Kumar, D. Sivakumar |
| 2001 | IM | Using Control Theory to Achieve Service Level Objectives In Performance Management. | Sujay S. Parekh, Neha Gandhi, Joseph L. Hellerstein, Dawn M. Tilbury, T. S. Jayram, Joseph P. Bigus |
| 2001 | STOC | Online server allocation in a server farm via benefit task systems. | T. S. Jayram, Tracy Kimbrel, Robert Krauthgamer, Baruch Schieber, Maxim Sviridenko |
| 2000 | AAAI | Recognizing End-User Transactions in Performance Management. | Joseph L. Hellerstein, T. S. Jayram, Irina Rish |
| 2000 | MASCOTS | Analysis of Large-Scale Distributed Information Systems. | Joseph L. Hellerstein, T. S. Jayram, Mark S. Squillante |