Nilesh Jain

46 papers A* 2A 3B 1C 2Journal 24Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bibby AI - AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor).
CoRR
Nilesh Jain, Rohit Yadav, Andrej Karpathy
2025 — conf
A 68 TOPS/W, 256MB SRAM Sparse GEMM Accelerator Tiled Across 16, 4nm Near Memory Compute (NMC) Chiplets Disaggregated 2.5D System.
CICC
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
2025 C conf
Accelerating GNN Inference via Automated Parallel Execution on Edge Heterogeneous Platforms.
SBAC-PAD
Yi-Chien Lin, Haoyang Fan, Sameh Gobriel, Nilesh Jain, Viktor K. Prasanna
2025 J jnl
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction.
CoRR
Sankeerth Durvasula, Sharanshangar Muhunthan, Zain Moustafa, Richard Chen, Ruofan Liang, Yushi Guan, Nilesh A. Ahuja, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
2025 J jnl
Denoising Diffusion as a New Framework for Underwater Images.
CoRR
Nilesh Jain, Elie Alhajjar
2025 J jnl
Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks.
CoRR
Nilesh Jain
2025 — conf
INRet: A General Framework for Accurate Retrieval of INRs for Shapes.
3DV
Yushi Guan, Daniel Kwan, Ruofan Liang, Selvakumar Panneer, Nilesh Jain, Nilesh A. Ahuja, Nandita Vijaykumar
2025 J jnl
INRet: A General Framework for Accurate Retrieval of INRs for Shapes.
CoRR
Yushi Guan, Daniel Kwan, Ruofan Liang, Selvakumar Panneer, Nilesh Jain, Nilesh A. Ahuja, Nandita Vijaykumar
2025 J jnl
KVCrush: Key value cache size-reduction using similarity in head-behaviour.
CoRR
Gopi Krishna Jha, Sameh Gobriel, Liubov Talamanova, Alexander Kozlov, Nilesh Jain
2025 J jnl
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression.
CoRR
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2025 — conf
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models.
NAACL (Long Papers)
Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2025 J jnl
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models.
CoRR
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2025 J jnl
Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validation.
CoRR
Nilesh Jain, Seyi Adeyinka, Leor Roseman, Aza Allsop
2025 J jnl
MultiPruner: Balanced Structure Removal in Foundation Models.
CoRR
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2025 A* conf
Retri3D: 3D Neural Graphics Representation Retrieval.
ICLR
Yushi Guan, Daniel Kwan, Jean Sebastien Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh A. Ahuja, Selvakumar Panneer, Nandita Vijaykumar
2025 J jnl
SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs.
CoRR
Ahmed F. AbouElhamayed, Jordan Dotzel, Yash Akhauri, Chi-Chih Chang, Sameh Gobriel, J. Pablo Muñoz, Vui Seng Chua, Nilesh Jain, Mohamed S. Abdelfattah
2025 J jnl
TokenButler: Token Importance is Predictable.
CoRR
Yash Akhauri, Ahmed F. AbouElhamayed, Yifei Gao, Chi-Chih Chang, Nilesh Jain, Mohamed S. Abdelfattah
2024 A conf
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor.
IPDPS
Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna
2024 J jnl
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor.
CoRR
Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna
2024 B conf
Distributed Training of Neural Radiance Fields: A Performance Characterization.
ISPASS
Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
2024 — conf
EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks.
LREC/COLING
Juan Pablo Muñoz, Yi Zheng, Nilesh Jain
2024 — conf
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models.
LREC/COLING
Juan Pablo Muñoz, Jinjie Yuan, Yi Zheng, Nilesh Jain
2024 — conf
Post-Training Statistical Calibration for Higher Activation Sparsity.
ENLSP
Vui Seng Chua, Yujie Pan, Nilesh Jain
2024 J jnl
Post-Training Statistical Calibration for Higher Activation Sparsity.
CoRR
Vui Seng Chua, Yujie Pan, Nilesh Jain
2024 — conf
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models.
EMNLP (Findings)
Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2024 J jnl
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models.
CoRR
Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2024 — conf
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search.
NAACL (Industry Track)
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2024 J jnl
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search.
CoRR
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
2024 — conf
Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation.
ECCV (5)
Peixi Xiong, Michael Kozuch, Nilesh Jain
2023 C conf
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation.
ACML
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer
2023 J jnl
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation.
CoRR
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi Iyer
2022 — conf
Automated Super-Network Generation for Scalable Neural Architecture Search.
AutoML
Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain
2022 A* conf
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring.
NeurIPS
Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer
2022 J jnl
Evolving Zero Cost Proxies For Neural Architecture Scoring.
CoRR
Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer
2022 A conf
Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization.
GECCO
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
2022 J jnl
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing.
CoRR
Anthony Thomas, Behnam Khaleghi, Gopi Krishna Jha, Sanjoy Dasgupta, Nageen Himayat, Ravi Iyer, Nilesh Jain, Tajana Rosing
2021 A conf
A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding.
DATE
Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan
2021 — conf
A Manifold Learning based Video Prediction approach for Deep Motion Transfer.
ICCVW
Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das
2021 J jnl
Declarative Data Serving: The Future of Machine Learning Inference on the Edge.
Proc. VLDB Endow.
Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan
2021 — conf
E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations.
NAS
Chaunte Lacewell, Nilesh A. Ahuja, J. Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer
2021 J jnl
Enabling NAS with Automated Super-Network Generation.
CoRR
J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain
2021 J jnl
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization.
CoRR
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
2021 J jnl
RHNAS: Realizable Hardware and Neural Architecture Search.
CoRR
Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain
2021 — conf
Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation.
ISQED
Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik
2017 J jnl
Visual IoT: Ultra-Low-Power Processing Architectures and Implications.
IEEE Micro
Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer
2013 — conf
GraphBuilder: scalable graph ETL framework.
GRADES
Nilesh Jain, Guangdeng Liao, Theodore L. Willke