output
20112026
most citedNILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring

500 citations

331 papers

cs.LG2026

Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle

Angshul Majumdar

We revisit median-of-means estimation from a deterministic optimization viewpoint and develop a family of block-Lp estimators for robust learning with heavy-tailed and adversariall…

eess.SP2026

Quantum-Stable Robust Principal Component Analysis: Theory and Evidence from NISQ Regimes

Angshul Majumdar

Robust Principal Component Analysis (RPCA) is a fundamental technique for extracting low-rank structures from data corrupted by sparse anomalies and noise. While classical RPCA and…

cs.AI2026

Clustering as Approximation by Constrained Projectors: Theory and Guarantees

Angshul Majumdar

This paper develops a unified theoretical framework showing that a broad family of clustering methods, including k-means, fuzzy c-means, kernel k-means, kernel FCM, and spectral cl…

cs.CV2026

Gaussian Volumetric Representation for Efficient Shear-Warp Visualization

Mayuri Mathur, Ojaswa Sharma

Medical image visualization requires volumetric rendering algorithms that preserve anatomical fidelity while maintaining high rendering speeds. To address the high computational co…

cs.LG2026

Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks

Zubaida Fatima, Zubair Shaban, Yusuf Jamal +3

The growing demand for privacy-preserving, data-intensive applications such as IoT, augmented reality, and autonomous systems positions Federated Learning (FL) as a key enabler in…

cs.CL2026

Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size

Dikshant Kukreja, Kshitij Sah, Gautam Gupta +5

Larger language models become simultaneously better and worse at handling contextual information -- better at ignoring false claims, worse at ignoring irrelevant tokens. We formali…

eess.SP2026

Millimeter Wave Frontend for Integrated Sensing and Communication System Transceiver on Edge

Jai Mangal, Kshitiz Joshi, Krishna Neel Reddy +3

IEEE 802.11ad standard uses analog beamforming for high-speed directional communication with mobile user (MU) in the millimeter wave (mmWave) spectrum. However, the lengthy beam al…

eess.SP2026

Radar Enabled Adaptive Modulation for Millimeter Wave Integrated Sensing and Communication

Jai Mangal, Sumit Darak, Shobha Sundar Ram

An integrated sensing and communication (ISAC) framework comprises radar sensing to enable reliable direction beam-based communication between a base station (BS) and mobile user (…

eess.SP2026★ 1 cited

Demo: An RFSoC-Based Testbed for Over-the-Air Wireless Transceiver at Millimeter Wave Frequency

Jeet Tekchandani, Jai Mangal, Sumit J. Darak +1

The millimeter wave (mmW) frequency spectrum has been explored recently for large bandwidth communication. At these frequencies, narrow directional beams are required for communica…

math.PR2026★ 1 cited

Convergences for a Virus-like Evolving Population driven by Mutually-exciting Hawkes Processes

Rahul Roy, Dharmaraja Selvamuthu, Paola Tardelli

This paper presents a stochastic model motivated by the study of a virus-like evolving population with different mutation rates. This is a continuous time birth-death model: the bi…

eess.SP2026

Radar Sensing using Dual-Beam Reconfigurable Intelligent Surface

Kainat Yasmeen, Shobha Sundar Ram, Debidas Kundu

Around-the-corner radar sensing offers an opportunity for the radar to exploit multipath scattering along walls to detect targets beyond blockages. However, the radar detection per…

eess.SP2026★ 4 cited

Around-the-corner Radar Sensing Using Reconfigurable Intelligent Surface

Kainat Yasmeen, Debidas Kundu, Shobha Sundar Ram

Around-the-corner radar (ACR) sensing of targets in non-line-of-sight (NLOS) conditions has been explored for security and surveillance applications and look-ahead warning systems…

eess.SP2026★ 2 cited

Estimation of Electrical Characteristics of Complex Walls Using Deep Neural Networks

Kainat Yasmeen, Shobha Sundar Ram

Electromagnetic wave propagation through complex inhomogeneous walls introduces significant distortions to through-wall radar signatures. Estimation of wall thickness, dielectric,…

cs.CY2026★ 1 cited

Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models

Shashank Prakash, Ranjitha Prasad, Avinash Agarwal

The growing reliance on Artificial Intelligence (AI) models in high-stakes decision-making systems, particularly within emerging telecom and 6G applications, underscores the urgent…

cs.CV2025

Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images

Sayan Das, Arghadip Biswas

Brain tumors pose a significant threat to human life, therefore it is very much necessary to detect them accurately in the early stages for better diagnosis and treatment. Brain tu…

cs.DC2025★ 1 cited

GPoS: Geospatially-aware Proof of Stake

Shashank Motepalli, Naman Garg, Gengrui Zhang +1

Geospatial decentralization is essential for blockchains, ensuring regulatory resilience, robustness, and fairness. We empirically analyze five major Proof of Stake (PoS) blockchai…

cs.HC2025

Detecting LLM-Assisted Academic Dishonesty using Keystroke Dynamics

Atharva Mehta, Rajesh Kumar, Aman Singla +3

The rapid adoption of generative AI tools has heightened concerns regarding academic integrity, as students increasingly engage in dishonest practices by copying or paraphrasing AI…

cs.HC2025★ 2 cited

Leveraging Familiarity with Television to Enrich Older Adults' Engagement and Wellbeing: A Feasibility Study Using Video Probes

Shyama Sastha Krishnamoorthy Srinivasan, Mohan Kumar, Pushpendra Singh

The shift away from multigenerational families to nuclear families in India has created a growing need to support older adults living independently. While technology can help addre…

eess.SY2025

Adaptive Control of Heterogeneous Platoons with Guaranteed Collision Avoidance

Ashutosh Chandra Pandey, Sayan Basu Roy, Simone Baldi

This work proposes a framework for Cooperative Adaptive Cruise Control of a vehicular platoon characterized by unidirectional communication and heterogeneous parameters. In the pro…

cs.HC2025★ 5 cited

AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI

Pragya Singh, Ankush Gupta, Mohan Kumar +1

Emotional and mental well-being are vital components of quality of life, and with the rise of smart devices like smartphones, wearables, and artificial intelligence (AI), new oppor…

cs.CV2025★ 10 cited

Federated Learning for Commercial Image Sources

Shreyansh Jain, Koteswar Rao Jerripothula

Federated Learning is a collaborative machine learning paradigm that enables multiple clients to learn a global model without exposing their data to each other. Consequently, it pr…

q-bio.GN2025

In silico tool for identification of colorectal cancer from cell-free DNA biomarkers

Kartavya Mathur, Shipra Jain, Nisha Bajiya +2

Colorectal cancer remains a major global health concern, with early detection being pivotal for improving patient outcomes. In this study, we leveraged high throughput methylation…

math.OC2025

A Scalable Procedure for Control Design

Amit Kumar, Prasad Vilas Chanekar

This paper proposes a novel gradient based scalable procedure for control design. We compute the gradient using algebraic Riccati equation and then couple it…

cs.CV2025★ 2 cited

HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models

Aryan Das, Tanishq Rachamalla, Pravendra Singh +5

We introduce HyperCap, the first large-scale hyperspectral captioning dataset designed to enhance model performance and effectiveness in remote sensing applications. Unlike traditi…