13 citations · 24 across the 8 of their papers we have counts for
10 papers
Automated Detection of Abnormalities in Zebrafish Development
Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel +4
Zebrafish embryos are a valuable model for drug discovery due to their optical transparency and genetic similarity to humans. However, current evaluations rely on manual inspection…
Certifiably robust malware detectors by design
Pierre-Francois Gimenez, Sarath Sivaprasad, Mario Fritz
Malware analysis involves analyzing suspicious software to detect malicious payloads. Static malware analysis, which does not require software execution, relies increasingly on mac…
COMIX: Compositional Explanations using Prototypes
Sarath Sivaprasad, Dmitry Kangin, Plamen Angelov +1
Aligning machine representations with human understanding is key to improving interpretability of machine learning (ML) models. When classifying a new image, humans often explain t…
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive
Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi +1
Large Language Models (LLMs) are increasingly utilized in autonomous decision-making, where they sample options from vast action spaces. However, the heuristics that guide this sam…
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection
Sarath Sivaprasad, Mario Fritz
Anomaly Detection (AD) is a critical task that involves identifying observations that do not conform to a learned model of normality. Prior work in deep AD is predominantly based o…
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad +2
There is an growing interest in using Large Language Models (LLMs) in multi-agent systems to tackle interactive real-world tasks that require effective collaboration and assessing…
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande +1
Several real-life applications require crafting concise, quantitative scoring functions (also called rating systems) from measured observations. For example, an effectiveness score…
Emotional Prosody Control for Speech Generation
Sarath Sivaprasad, Saiteja Kosgi, Vineet Gandhi
Machine-generated speech is characterized by its limited or unnatural emotional variation. Current text to speech systems generates speech with either a flat emotion, emotion selec…
Reappraising Domain Generalization in Neural Networks
Sarath Sivaprasad, Akshay Goindani, Vaibhav Garg +3
Given that Neural Networks generalize unreasonably well in the IID setting (with benign overfitting and betterment in performance with more parameters), OOD presents a consistent f…
The Curious Case of Convex Neural Networks
Sarath Sivaprasad, Ankur Singh, Naresh Manwani +1
In this paper, we investigate a constrained formulation of neural networks where the output is a convex function of the input. We show that the convexity constraints can be enforce…