Multimodal Approach to Predicting Media Memorability. - Tanmayee Joshi; Sarath Sivaprasad; Savita Bhat; Niranjan Pedanekar (MediaEval, 2018)

Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. - Sarath Sivaprasad; Tanmayee Joshi; Rishabh Agrawal; Niranjan Pedanekar (ICMR, 2018)

Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies. - Tanmayee Joshi; Sarath Sivaprasad; Niranjan Pedanekar (AffCon@AAAI, 2019)

The Curious Case of Convex Networks. - Sarath Sivaprasad; Naresh Manwani; Vineet Gandhi (CoRR, 2020)

Color Me Good: Branding in the Coloring Style of Movie Posters. - Rishabh Agrawal; Sarath Sivaprasad; Niranjan Pedanekar (CVPR Workshops, 2021)

Emotional Prosody Control for Speech Generation. - Sarath Sivaprasad; Saiteja Kosgi; Vineet Gandhi (Interspeech, 2021)

The Curious Case of Convex Neural Networks. - Sarath Sivaprasad; Ankur Singh; Naresh Manwani; Vineet Gandhi (ECML/PKDD (1), 2021)

Reappraising Domain Generalization in Neural Networks. - Sarath Sivaprasad; Akshay Goindani; Vaibhav Garg; Vineet Gandhi (CoRR, 2021)

Does Audio help in deep Audio-Visual Saliency prediction models? - Ritvik Agrawal; Shreyank Jyoti; Rohit Girmaji; Sarath Sivaprasad; Vineet Gandhi (ICMI, 2022)

Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems. - Saiteja Kosgi; Sarath Sivaprasad; Niranjan Pedanekar; Anil Nelakanti; Vineet Gandhi (NAACL-HLT, 2022)

Framework to Computationally Analyze Kathakali Videos. - Pratikkumar Bulani; Jayachandran S.; Sarath Sivaprasad; Vineet Gandhi (WICED@Eurographics/EuroVis, 2022)

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. - Ragja Palakkadavath; Sarath Sivaprasad; Shirish Karande 001; Niranjan Pedanekar (CoRR, 2022)

Adversarial Robustness of Mel Based Speaker Recognition Systems. - Ritu Srivastava; Saiteja Kosgi; Sarath Sivaprasad; Neha Sahipjohn; Vineet Gandhi (APSIPA ASC, 2023)

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. - Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad; Lea Schönherr; Mario Fritz (CoRR, 2023)

Going Beyond Familiar Features for Deep Anomaly Detection. - Sarath Sivaprasad; Mario Fritz (CoRR, 2023)

Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation. - Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad; Lea Schönherr; Mario Fritz (NeurIPS, 2024)

Exploring Value Biases: How LLMs Deviate Towards the Ideal. - Sarath Sivaprasad; Pramod Kaushik; Sahar Abdelnabi; Mario Fritz (CoRR, 2024)

A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive. - Sarath Sivaprasad; Pramod Kaushik; Sahar Abdelnabi; Mario Fritz (ACL (1), 2025)

Certifiably Robust Malware Detectors by Design. - Pierre-François Gimenez; Sarath Sivaprasad; Mario Fritz (SEC (2), 2025)

COMIX: Compositional Explanations using Prototypes. - Sarath Sivaprasad; Dmitry Kangin; Plamen Angelov 001; Mario Fritz (CoRR, 2025)