activity
20152026
most citedInferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer

78 citations · 169 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CL2026

Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs

Divyanshu Bathla, Parag Singla, Jitin Singla

Pre-trained Large Language Model (LLMs) are effective on many tasks in zero-shot and few-shot settings. For machine translation of low-resource languages, the obvious options are f…

cs.AI2026

Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback

Jitin Singla, Parikshit Pareek, Pratik Jawanpuria +1

Generating optimization instances that are both feasible and computationally challenging is crucial for benchmarking solvers and training learning-based optimization algorithms. Ex…

cs.CV2026

Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation

Siddharth Gupta, Jitin Singla

In real-time colonoscopy, ground-truth annotations are unavailable at inference, so polyp segmentation models can fail silently. We propose Referee-Based Quality Estimation (RBQE),…

cs.LG2026

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

Anuj Pal, Raunak Kumar, Dhruvi Solanki +3

Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target than binary antimicrobial classi…

cs.CV2026

FiRe: Frequency Reparameterization as a Preconditioner for Periodic Implicit Neural Representations

Harinandan Shukla, Rajarshi Verma, Jitin Singla

Periodic Implicit Neural Representations (INRs) such as SIREN and FINER assign every neuron, the same global frequency, spending the representational budget inefficiently when loca…

cs.CL2026

Samasāmayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation

N J Karthika, Keerthana Suryanarayanan, Jahanvi Purohit +3

We release Samasāmayik, a novel, meticulously curated, large-scale Hindi-Sanskrit corpus, comprising 92,196 parallel sentences. Unlike most data available in Sanskrit, which focuse…

cs.LG2026

Pathology-Aware Multi-View Contrastive Learning for Patient-Independent ECG Reconstruction

Youssef Youssef, Jitin Singla

Reconstructing a 12-lead electrocardiogram (ECG) from a reduced lead set is an ill-posed inverse problem due to anatomical variability. Standard deep learning methods often ignore…

cs.CV2025

YOLO-LAN: Precise Polyp Detection via Optimized Loss, Augmentations and Negatives

Siddharth Gupta, Jitin Singla

Colorectal cancer (CRC), a lethal disease, begins with the growth of abnormal mucosal cell proliferation called polyps in the inner wall of the colon. When left undetected, polyps…

cs.LG2023

On Learning with LAD

C. A. Jothishwaran, Biplav Srivastava, Jitin Singla +1

The logical analysis of data, LAD, is a technique that yields two-class classifiers based on Boolean functions having disjunctive normal form (DNF) representation. Although LAD alg…

cs.CL2023

Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation

Ayush Maheshwari, Ashim Gupta, Amrith Krishna +4

We release Sāmayik, a dataset of around 53,000 parallel English-Sanskrit sentences, written in contemporary prose. Sanskrit is a classical language still in sustenance and has a ri…

q-bio.MN2016★ 31 cited

Understanding the functional impact of copy number alterations in breast cancer using a network modeling approach

Sriganesh Srihari, Murugan Kalimutho, Samir Lal +5

Copy number alterations (CNAs) are thought to account for 85% of the variation in gene expression observed among breast tumours. The expression of cis-associated genes is impacted…

q-bio.QM2015★ 60 cited

De novo visual proteomics in single cells through pattern mining

Min Xu, Elitza I Tocheva, Yi-Wei Chang +2

Cryo-electron tomography enables 3D visualization of cells in a near native state at molecular resolution. The produced cellular tomograms contain detailed information about all ma…

q-bio.MN2015★ 78 cited

Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer

Sriganesh Srihari, Jitin Singla, Limsoon Wong +1

Background: Synthetic lethality (SL) refers to the genetic interaction between two or more genes where only their co-alteration (e.g. by mutations, amplifications or deletions) res…