Nilesh Jain

According to our database, Nilesh Jain authored at least 42 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Bibby AI - AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor).

Nilesh Jain, Rohit Yadav, Andrej Karpathy

CoRR, February, 2026

LiveAvatar: Real-time 3D Gaussian Head Avatars from Single Images.

Björn Browatzki, Niall Murray, Nilesh Jain

Proceedings of the 2026 ACM International Conference on Interactive Media Experiences, 2026

An Automated Compilation Flow for Efficient GNN Inference on Edge Heterogeneous Platform.

Haoyang Fan, Sameh Gobriel, Nilesh Jain, Naveena Padmaraju, Chaunte W. Lacewell, Viktor K. Prasanna

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

2025

Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validation.

Nilesh Jain, Seyi Adeyinka, Leor Roseman, Aza Allsop

CoRR, December, 2025

Denoising Diffusion as a New Framework for Underwater Images.

Nilesh Jain, Elie Alhajjar

CoRR, October, 2025

TokenButler: Token Importance is Predictable.

Yash Akhauri, Ahmed F. AbouElhamayed, Yifei Gao, Chi-Chih Chang, Nilesh Jain, Mohamed S. Abdelfattah

CoRR, March, 2025

KVCrush: Key value cache size-reduction using similarity in head-behaviour.

Gopi Krishna Jha, Sameh Gobriel, Liubov Talamanova, Alexander Kozlov, Nilesh Jain

CoRR, March, 2025

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs.

Ahmed F. AbouElhamayed, Jordan Dotzel, Yash Akhauri, Chi-Chih Chang, Sameh Gobriel, J. Pablo Muñoz, Vui Seng Chua, Nilesh Jain, Mohamed S. Abdelfattah

CoRR, February, 2025

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression.

J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain

CoRR, January, 2025

MultiPruner: Balanced Structure Removal in Foundation Models.

J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain

CoRR, January, 2025

Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks.

Nilesh Jain

CoRR, January, 2025

Accelerating GNN Inference via Automated Parallel Execution on Edge Heterogeneous Platforms.

Yi-Chien Lin, Haoyang Fan, Sameh Gobriel, Nilesh Jain, Viktor K. Prasanna

Proceedings of the 37th IEEE/SBC International Symposium on Computer Architecture and High Performance Computing, 2025

Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models.

Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Retri3D: 3D Neural Graphics Representation Retrieval.

Yushi Guan, Daniel Kwan, Jean Sebastien Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh A. Ahuja, Selvakumar Panneer, Nandita Vijaykumar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction.

Sankeerth Durvasula, Sharanshangar Muhunthan, Zain Moustafa, Richard Chen, Ruofan Liang, Yushi Guan, Nilesh A. Ahuja, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A 68 TOPS/W, 256MB SRAM Sparse GEMM Accelerator Tiled Across 16, 4nm Near Memory Compute (NMC) Chiplets Disaggregated 2.5D System.

Srivatsa Rangachar Srinivasa, Prerna Budhkar, Gauthaman Murali, Vui Seng Chua, Paolo A. Aseron, Vinayak Honkote, Ravi R. Iyer, Nilesh Jain, Dileep John Kurian, Anuradha Srinivasan, Tanay Karnik

Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

INRet: A General Framework for Accurate Retrieval of INRs for Shapes.

Yushi Guan, Daniel Kwan, Ruofan Liang, Selvakumar Panneer, Nilesh Jain, Nilesh A. Ahuja, Nandita Vijaykumar

Proceedings of the International Conference on 3D Vision, 2025

2024

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search.

J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Distributed Training of Neural Radiance Fields: A Performance Characterization.

Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor.

Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Post-Training Statistical Calibration for Higher Activation Sparsity.

Vui Seng Chua, Yujie Pan, Nilesh Jain

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models.

Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation.

Peixi Xiong, Michael Kozuch, Nilesh Jain

Proceedings of the Computer Vision - ECCV 2024, 2024

EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks.

Juan Pablo Muñoz, Yi Zheng, Nilesh Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models.

Juan Pablo Muñoz, Jinjie Yuan, Yi Zheng, Nilesh Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Mem-Rec: Memory Efficient Recommendation System using Alternative Representation.

Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing.

Anthony Thomas, Behnam Khaleghi, Gopi Krishna Jha, Sanjoy Dasgupta, Nageen Himayat, Ravi Iyer, Nilesh Jain, Tajana Rosing

CoRR, 2022

Evolving Zero Cost Proxies For Neural Architecture Scoring.

Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer

CoRR, 2022

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring.

Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization.

Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Automated Super-Network Generation for Scalable Neural Architecture Search.

Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Declarative Data Serving: The Future of Machine Learning Inference on the Edge.

Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan

Proc. VLDB Endow., 2021

Enabling NAS with Automated Super-Network Generation.

J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain

CoRR, 2021

RHNAS: Realizable Hardware and Neural Architecture Search.

Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain

CoRR, 2021

E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations.

Chaunte Lacewell, Nilesh A. Ahuja, J. Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation.

Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

A Manifold Learning based Video Prediction approach for Deep Motion Transfer.

Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding.

Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2017

Visual IoT: Ultra-Low-Power Processing Architectures and Implications.

Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer

IEEE Micro, 2017

2016

Generalized Hand Gesture Recognition for Wearable Devices in IoT: Application and Implementation Challenges.

Darshan Iyer, Fahim Mohammad, Yuan Guo, Ebrahim Al Safadi, Benjamin J. Smiley, Zhiqiang Liang, Nilesh K. Jain

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Generalized activity recognition using accelerometer in wearable devices for IoT applications.

Ebrahim Al Safadi, Fahim Mohammad, Darshan Iyer, Benjamin J. Smiley, Nilesh K. Jain

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2013

GraphBuilder: scalable graph ETL framework.

Nilesh Jain, Guangdeng Liao, Theodore L. Willke

Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013