GraphBuilder: scalable graph ETL framework. - Nilesh Jain; Guangdeng Liao; Theodore L. Willke (GRADES, 2013)

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 001 (IEEE Micro, 2017)

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 001; Anuradha Srinivasan (DATE, 2021)

A Manifold Learning based Video Prediction approach for Deep Motion Transfer. - Yuliang Cai; Sumit Mohan; Adithya Niranjan; Nilesh Jain; Alex Cloninger; Srinjoy Das (ICCVW, 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 001; Vijaykrishnan Narayanan; Tanay Karnik (ISQED, 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 001 (NAS, 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 001; Nilesh Jain (CoRR, 2021)

Enabling NAS with Automated Super-Network Generation. - J. Pablo Muñoz; Nikolay Lyalyushkin; Yash Akhauri; Anastasia Senina; Alexander Kozlov; Nilesh Jain (CoRR, 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)

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 (AutoML, 2022)

Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization. - Santiago Miret; Vui Seng Chua; Mattias Marder; Mariano Phielipp; Nilesh Jain; Somdeb Majumdar (GECCO, 2022)

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. - Yash Akhauri; Juan Pablo Muñoz; Nilesh Jain; Ravi Iyer 001 (NeurIPS, 2022)

Evolving Zero Cost Proxies For Neural Architecture Scoring. - Yash Akhauri; J. Pablo Munoz; Nilesh Jain; Ravi Iyer 001 (CoRR, 2022)

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing. - Anthony Thomas; Behnam Khaleghi; Gopi Krishna Jha; Sanjoy Dasgupta; Nageen Himayat; Ravi Iyer 001; Nilesh Jain; Tajana Rosing (CoRR, 2022)

Mem-Rec: Memory Efficient Recommendation System using Alternative Representation. - Gopi Krishna Jha; Anthony Thomas; Nilesh Jain; Sameh Gobriel; Tajana Rosing; Ravi R. Iyer 001 (ACML, 2023)

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models. - Juan Pablo Muñoz; Jinjie Yuan; Yi Zheng; Nilesh Jain (LREC/COLING, 2024)

EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks. - Juan Pablo Muñoz; Yi Zheng; Nilesh Jain (LREC/COLING, 2024)

Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation. - Peixi Xiong; Michael Kozuch; Nilesh Jain (ECCV (5), 2024)

SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models. - Juan Pablo Muñoz; Jinjie Yuan; Nilesh Jain (EMNLP (Findings), 2024)

Post-Training Statistical Calibration for Higher Activation Sparsity. - Vui Seng Chua; Yujie Pan 004; Nilesh Jain (ENLSP, 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 (IPDPS, 2024)

Distributed Training of Neural Radiance Fields: A Performance Characterization. - Adrian Zhao; Louis Zhang; Sankeerth Durvasula; Fan Chen; Nilesh Jain; Selvakumar Panneer; Nandita Vijaykumar (ISPASS, 2024)

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search. - J. Pablo Muñoz; Jinjie Yuan; Nilesh Jain (NAACL (Industry Track), 2024)

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 (3DV, 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 001; Nilesh Jain; Dileep John Kurian; Anuradha Srinivasan; Tanay Karnik (CICC, 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 (ICLR, 2025)

Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models. - Juan Pablo Muñoz; Jinjie Yuan; Nilesh Jain (NAACL (Long Papers), 2025)

Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks. - Nilesh Jain (CoRR, 2025)

MultiPruner: Balanced Structure Removal in Foundation Models. - J. Pablo Muñoz; Jinjie Yuan; Nilesh Jain (CoRR, 2025)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression. - J. Pablo Muñoz; Jinjie Yuan; Nilesh Jain (CoRR, 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, 2025)

KVCrush: Key value cache size-reduction using similarity in head-behaviour. - Gopi Krishna Jha; Sameh Gobriel; Liubov Talamanova; Alexander Kozlov; Nilesh Jain (CoRR, 2025)

TokenButler: Token Importance is Predictable. - Yash Akhauri; Ahmed F. AbouElhamayed; Yifei Gao; Chi-Chih Chang; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)