Animesh Jain - RankMe

24 papers A* 4A 4B 2Misc 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fisher-Information-Based Sensor Placement for Structural Digital Twins: Analytic Results and Benchmarks. CoRR Harbir Antil, Animesh Jain, Rainald Löhner
2025	J	`jnl`	MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization. CoRR Animesh Jain, Alexandros Stergiou
2024	—	`conf`	PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala
2023	A	`conf`	Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. AISTATS Kaiqi Zhao, Animesh Jain, Ming Zhao
2023	J	`jnl`	Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. CoRR Kaiqi Zhao, Animesh Jain, Ming Zhao
2023	J	`jnl`	Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse. Inf. Syst. Frontiers Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Nripendra P. Rana, Abdullah M. Baabdullah, Arpan Kumar Kar, Alex Koohang, Samuel Ribeiro-Navarrete, Nina Belei, Janarthanan Balakrishnan, Sriparna Basu, Abhishek Behl, Gareth H. Davies, Vincent Dutot, Rohita Dwivedi, Leighton Evans, Reto Felix, Richard Foster-Fletcher, Mihalis Giannakis, Ashish Gupta, Chris Hinsch, Animesh Jain, Nina Jane Patel, Timothy Jung, Satinder Juneja, Qeis Kamran, Sanjar Mohamed AB, Neeraj Pandey, Savvas Papagiannidis, Ramakrishnan Raman, Philipp A. Rauschnabel, Preeti Tak, Alexandra Taylor, M. Claudia tom Dieck, Giampaolo Viglia, Yichuan Wang, Meiyi Yan
2023	Misc	`conf`	Surmounting Challenges in the Design of Low Power Real Time Clock IP for Advanced FinFET Technology Nodes. VLSID Krishnan Sukumar, Santosh Vodnala, Ravindra Ayyagari, Animesh Jain, Thanapandi Ganesan, Rajesh R
2023	—	`conf`	μ-TWO: 3× Faster Multi-Model Training with Orchestration and Memory Optimization. MLSys Sanket Purandare, Abdul Wasay, Animesh Jain, Stratos Idreos
2022	J	`jnl`	Adaptive Activation-based Structured Pruning. CoRR Kaiqi Zhao, Animesh Jain, Ming Zhao
2022	J	`jnl`	Iterative Activation-based Structured Pruning. CoRR Kaiqi Zhao, Animesh Jain, Ming Zhao
2022	A	`conf`	Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer. INTERSPEECH Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao
2021	J	`jnl`	Automated Backend-Aware Post-Training Quantization. CoRR Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze
2021	A	`conf`	UNIT: Unifying Tensorized Instruction Compilation. CGO Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki
2021	J	`jnl`	UNIT: Unifying Tensorized Instruction Compilation. CoRR Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki
2020	J	`jnl`	Efficient Execution of Quantized Deep Learning Models: A Compiler Approach. CoRR Animesh Jain, Shoubhik Bhattacharya, Masahiro Masuda, Vin Sharma, Yida Wang
2020	J	`jnl`	Optimizing Memory-Access Patterns for Deep Learning Accelerators. CoRR Hongbin Zheng, Sejong Oh, Huiqing Wang, Preston Briggs, Jiading Gai, Animesh Jain, Yizhi Liu, Rich Heaton, Randy Huang, Yida Wang
2018	—	`—`	Addressing Memory Bottlenecks for Emerging Applications. Animesh Jain
2018	B	`conf`	Architectural support for convolutional neural networks on modern CPUs. PACT Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang
2018	A*	`conf`	Gist: Efficient Data Encoding for Deep Neural Network Training. ISCA Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko
2018	B	`conf`	Proctor: Detecting and Investigating Interference in Shared Datacenters. ISPASS Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2017	A*	`conf`	DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. MICRO Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
2016	A*	`conf`	Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. MICRO Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
2016	A*	`conf`	Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. MICRO Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2014	A	`conf`	High-radix on-chip networks with low-radix routers. ICCAD Animesh Jain, Ritesh Parikh, Valeria Bertacco