A Technique for Energy versus Quality of Service Trade-Off for MPEG-2 Decoder. - Krishnan Srinivasan; Vijay Ramamurthi; Karam S. Chatha (ISVLSI, 2004)

System-Level Design Techniques for Throughput and Power Optimization of Multiprocessor SoC Architectures. - Krishnan Srinivasan; Nagender Telkar; Vijay Ramamurthi; Karam S. Chatha (ISVLSI, 2004)

An ILP Formulation for System Level Throughput and Power Optimization in Multiprocessor SoC Architectures. - Krishnan Srinivasan; Karam S. Chatha (VLSI Design, 2004)

SAGA: synthesis technique for guaranteed throughput NoC architectures. - Krishnan Srinivasan; Karam S. Chatha (ASP-DAC, 2005)

An automated technique for topology and route generation of application specific on-chip interconnection networks. - Krishnan Srinivasan; Karam S. Chatha; Goran Konjevod (ICCAD, 2005)

A technique for low energy mapping and routing in network-on-chip architectures. - Krishnan Srinivasan; Karam S. Chatha (ISLPED, 2005)

ISIS: A Genetic Algorithm Based Technique for Custom On-Chip Interconnection Network Synthesis. - Krishnan Srinivasan; Karam S. Chatha (VLSI Design, 2005)

Layout aware design of mesh based NoC architectures. - Krishnan Srinivasan; Karam S. Chatha (CODES+ISSS, 2006)

A low complexity heuristic for design of custom network-on-chip architectures. - Krishnan Srinivasan; Karam S. Chatha (DATE, 2006)

A Methodology for Layout Aware Design and Optimization of Custom Network-on-Chip Architectures. - Krishnan Srinivasan; Karam S. Chatha (ISQED, 2006)

Linear-programming-based techniques for synthesis of network-on-chip architectures. - Krishnan Srinivasan; Karam S. Chatha; Goran Konjevod (IEEE Trans. Very Large Scale Integr. Syst., 2006)

Application Specific Network-on-Chip Design with Guaranteed Quality Approximation Algorithms. - Krishnan Srinivasan; Karam S. Chatha; Goran Konjevod (ASP-DAC, 2007)

Integer linear programming and heuristic techniques for system-level low power scheduling on multiprocessor architectures under throughput constraints. - Krishnan Srinivasan; Karam S. Chatha (Integr., 2007)

ILP and heuristic techniques for system-level design on network processor architectures. - Christopher Ostler; Karam S. Chatha; Vijay Ramamurthi; Krishnan Srinivasan (ACM Trans. Design Autom. Electr. Syst., 2007)

Automated Techniques for Synthesis of Application-Specific Network-on-Chip Architectures. - Karam S. Chatha; Krishnan Srinivasan; Goran Konjevod (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

Design of Network-on-Chip Architectures With a Genetic Algorithm-Based Technique. - Glenn Leary; Krishnan Srinivasan; Krishna Mehta; Karam S. Chatha (IEEE Trans. Very Large Scale Integr. Syst., 2009)

Sampling-based garbage collection metadata management scheme for flash-based storage. - Biplob K. Debnath; Krishnan Srinivasan; Weijun Xiao; David J. Lilja; David H. C. Du (MSST, 2011)

Graph-based Neural Multi-Document Summarization. - Michihiro Yasunaga; Rui Zhang 037; Kshitijh Meelu; Ayush Pareek; Krishnan Srinivasan; Dragomir R. Radev (CoNLL, 2017)

Learning Modes of Within-Hand Manipulation. - Berk Çalli; Krishnan Srinivasan; Andrew S. Morgan; Aaron M. Dollar (ICRA, 2018)

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. - Michelle A. Lee; Yuke Zhu; Krishnan Srinivasan; Parth Shah 003; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Jeannette Bohg (ICRA, 2019)

Learning Hierarchical Control for Robust In-Hand Manipulation. - Tingguang Li; Krishnan Srinivasan; Max Qing-Hu Meng; Wenzhen Yuan 001; Jeannette Bohg (ICRA, 2020)

Controlling Assistive Robots with Learned Latent Actions. - Dylan P. Losey; Krishnan Srinivasan; Ajay Mandlekar; Animesh Garg; Dorsa Sadigh (ICRA, 2020)

Learning to be Safe: Deep RL with a Safety Critic. - Krishnan Srinivasan; Benjamin Eysenbach; Sehoon Ha; Jie Tan 001; Chelsea Finn (CoRR, 2020)

Using a Variable-Friction Robot Hand to Determine Proprioceptive Features for Object Classification During Within-Hand-Manipulation. - Adam J. Spiers; Andrew S. Morgan; Krishnan Srinivasan; Berk Çalli; Aaron M. Dollar (IEEE Trans. Haptics, 2020)

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. - Michelle A. Lee; Yuke Zhu; Peter Zachares; Matthew Tan; Krishnan Srinivasan; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Jeannette Bohg (IEEE Trans. Robotics, 2020)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

Dexterous Manipulation Primitives for the Real Robot Challenge. - Claire Chen; Krishnan Srinivasan; Jeffrey Zhang 005; Junwu Zhang (CoRR, 2021)

A Robot Cluster for Reproducible Research in Dexterous Manipulation. - Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters 001; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang 005; Matthew R. Walter; et al. (CoRR, 2021)

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. - Brijen Thananjeyan; Ashwin Balakrishna; Suraj Nair 003; Michael Luo; Krishnan Srinivasan; Minho Hwang; Joseph E. Gonzalez; Julian Ibarz; Chelsea Finn; Ken Goldberg (IEEE Robotics Autom. Lett., 2021)

Learning latent actions to control assistive robots. - Dylan P. Losey; Hong Jun Jeon; Mengxi Li; Krishnan Srinivasan; Ajay Mandlekar; Animesh Garg; Jeannette Bohg; Dorsa Sadigh (Auton. Robots, 2022)

Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer. - Tyler Ga Wei Lum; Albert H. Li; Preston Culbertson; Krishnan Srinivasan; Aaron D. Ames; Mac Schwager; Jeannette Bohg (CoRL, 2024)

Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation. - Ignat Georgiev; Krishnan Srinivasan; Jie Xu 028; Eric Heiden; Animesh Garg (ICML, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)