38 citations · 56 across the 16 of their papers we have counts for
17 papers
NV-Tesseract-AD: Curriculum-Enhanced Conditional Diffusion for Multivariate Time-Series Anomaly Detection
Aditi Gautam, Manikandan Ravikiran, Saira Qureshi +4
We propose NV-Tesseract-AD, a curriculum learning-enhanced conditional diffusion framework for multivariate time-series anomaly detection. Our central hypothesis is that reconstruc…
NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates
Muyan Anna Li, Manikandan Ravikiran, Aditi Gautam
Time series forecasting models are widely used in high-stakes settings, yet their predictions remain difficult to interpret because existing post-hoc methods often ignore temporal…
Refusal-Gated Decoding: Preserving Refusal Behavior Under High-Temperature Sampling
Phillip Howard, Xin Su, Allen Roush +3
Recent advances in truncation-based sampling have helped mitigate drawbacks of high-temperature sampling such as neural text degeneration, thereby enabling greater diversity withou…
Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering
Narmeen Oozeer, Shivam Raval, Philip Quirke +4
Steering a language model - intervening on its internal activations to change downstream behaviour - has recently expanded beyond linear interpolation to nonlinear methods such as…
INDIC DIALECT: A Multi Task Benchmark to Evaluate and Translate in Indian Language Dialects
Tarun Sharma, Manikandan Ravikiran, Sourava Kumar Behera +3
Recent NLP advances focus primarily on standardized languages, leaving most low-resource dialects under-served especially in Indian scenarios. In India, the issue is particularly i…
Towards Transparent AI Grading: Semantic Entropy as a Signal for Human-AI Disagreement
Karrtik Iyer, Manikandan Ravikiran, Prasanna Pendse +1
Automated grading systems can efficiently score short-answer responses, yet they often fail to indicate when a grading decision is uncertain or potentially contentious. We introduc…
Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction
Manikandan Ravikiran, Bharathi Raja Chakravarthi
This paper investigates the effectiveness of sentence-level transformers for zero-shot offensive span identification on a code-mixed Tamil dataset. More specifically, we evaluate r…
Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments
Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy +5
Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in codemixed Dravidian languages is limited to clas…
Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection
Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha +4
Hope Speech Detection, a task of recognizing positive expressions, has made significant strides recently. However, much of the current works focus on model development without cons…
Investigating the Effect of Intraclass Variability in Temporal Ensembling
Siddharth Vohra, Manikandan Ravikiran
Temporal Ensembling is a semi-supervised approach that allows training deep neural network models with a small number of labeled images. In this paper, we present our preliminary s…
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing
Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi +3
In this paper, we present our participation in SemEval-2020 Task-12 Subtask-A (English Language) which focuses on offensive language identification from noisy labels. To this end,…
Finding Black Cat in a Coal Cellar -- Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex Assignments
Manikandan Ravikiran
Diversity in content and open-ended questions are inherent in complex assignments across online graduate programs. The natural scale of these programs poses a variety of challenges…
Key Phrase Classification in Complex Assignments
Manikandan Ravikiran
Complex assignments typically consist of open-ended questions with large and diverse content in the context of both classroom and online graduate programs. With the sheer scale of…
Systematic Review of Approaches to Improve Peer Assessment at Scale
Manikandan Ravikiran
Peer Assessment is a task of analysis and commenting on student's writing by peers, is core of all educational components both in campus and in MOOC's. However, with the sheer scal…
What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review
Manikandan Ravikiran
Learning Management Systems (LMS) and Educational Data Mining (EDM) are two important parts of online educational environment with the former being a centralised web-based informat…
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Pravendra Singh, Manikandan R, Neeraj Matiyali +1
We propose a framework for compressing state-of-the-art Single Shot MultiBox Detector (SSD). The framework addresses compression in the following stages: Sparsity Induction, Filter…
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy
Snehanshu Saha, Surbhi Agrawal, Manikandan. R +3
Astroinformatics is a new impact area in the world of astronomy, occasionally called the final frontier, where several astrophysicists, statisticians and computer scientists work t…