Alind Khare - RankMe

27 papers A* 3Misc 2Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentRx: Diagnosing AI Agent Failures from Execution Trajectories. CoRR Shraddha Barke, Arnav Goyal, Alind Khare, Avaljot Singh, Suman Nath, Chetan Bansal
2026	J	`jnl`	Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference. CoRR Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, Anjaly Parayil, Ramachandran Ramjee, Chetan Bansal
2025	—	`—`	Efficient AI Stack: Deployment-Aware Neural Architecture Search and Serving of Deep Neural Networks. Alind Khare
2025	—	`conf`	ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving. SoCC Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
2025	J	`jnl`	Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems. CoRR Shashwat Jaiswal, Shrikara Arun, Anjaly Parayil, Ankur Mallick, Spyros Mastorakis, Alind Khare, Chloe Alverti, Renée St. Amant, Chetan Bansal, Victor Rühle, Josep Torrellas
2025	Misc	`conf`	SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. NSDI Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov
2025	J	`jnl`	Toward Weight Sharing Paradigm for Efficient AI: Training and Inference Serving. ACM SIGOPS Oper. Syst. Rev. Payman Behnam, Alind Khare, Dhruv Garg, Alexey Tumanov
2025	J	`jnl`	Towards Efficient Large Multimodal Model Serving. CoRR Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
2025	J	`jnl`	∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS. Trans. Mach. Learn. Res. Payman Behnam, Uday Kamal, Sanjana Vijay Ganesh, Zhaoyi Li, Michael Jurado, Alind Khare, Igor Fedorov, Gaowen Liu, Alexey Tumanov
2024	J	`jnl`	DεS: Delayed ε-Shrinking for Faster Once-For-All Training. CoRR Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
2024	—	`conf`	DεpS: Delayed ε-Shrinking for Faster Once-for-All Training. ECCV (89) Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
2024	—	`conf`	SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference. ECCV (79) Alind Khare, Animesh Agrawal, Aditya Annavajjala, Payman Behnam, Myungjin Lee, Hugo Latapie, Alexey Tumanov
2023	J	`jnl`	ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation. CoRR Anshul Ahluwalia, Rohit Das, Payman Behnam, Alind Khare, Pan Li, Alexey Tumanov
2023	J	`jnl`	Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. IEEE Micro Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
2023	—	`conf`	Subgraph Stationary Hardware-Software Inference Co-Design. MLSys Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare
2023	J	`jnl`	Subgraph Stationary Hardware-Software Inference Co-Design. CoRR Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
2023	J	`jnl`	SuperFed: Weight Shared Federated Learning. CoRR Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov
2023	J	`jnl`	SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. CoRR Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov
2022	A*	`conf`	UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
2022	J	`jnl`	UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
2021	A*	`conf`	CompOFA - Compound Once-For-All Networks for Faster Multi-Platform Deployment. ICLR Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
2021	J	`jnl`	CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment. CoRR Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
2020	A*	`conf`	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020	J	`jnl`	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2019	J	`jnl`	A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. CoRR Koyel Mukherjee, Alind Khare, Ashish Verma
2017	Misc	`conf`	Distributed Algorithm for High-Utility Subgraph Pattern Mining Over Big Data Platforms. HiPC Alind Khare, Vikram Goyal, Srikanth Baride, Sushil K. Prasad, Michael McDermott, Dhara Shah
2017	J	`jnl`	HCudaBLAST: an implementation of BLAST on Hadoop and Cuda. J. Big Data Nilay Khare, Alind Khare, Farhan Khan