Nikhil Singh
AI agents are sensitive to nudges
Cherep, Manuel, et al. "AI Agents Are Sensitive to Nudges." Proceedings of the National Academy of Sciences, vol. 123, no. 25, 15 June 2026, e2537030123, https://doi.org/10.1073/pnas.2537030123.
A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
Manuel Cherep, Chengtian Ma, Abigail Xu, Maya Shaked, Pattie Maes, and Nikhil Singh. "A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments." International Conference on Learning Representations (ICLR)
Discovering and Steering Interpretable Concepts in Large Generative Music Models
Nikhil Singh*, Manuel Cherep*, and Pattie Maes "Discovering and Steering Interpretable Concepts in Large Generative Music Models." International Conference on Learning Representations (ICLR)
Behavioral Systems Require Behavioral Tests
Manuel Cherep*, Nikhil Singh*, and Pattie Maes. "Behavioral Systems Require Behavioral Tests." NeurIPS Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning (LAW)
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep*, and Nikhil Singh*. "Contrastive Learning from Synthetic Audio Doppelgängers." International Conference on Learning Representations (ICLR)
Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making
Manuel Cherep*, Nikhil Singh*, and Pattie Maes. "Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making." NeurIPS 2024 Workshop on Behavioral Machine Learning.
Articulatory Synthesis of Speech and Diverse Vocal Sounds via Optimization
Luke Mo*, Manuel Cherep*, Nikhil Singh*, Quinn Langford, and Pattie Maes. Articulatory Synthesis of Speech and Diverse Vocal Sounds via Optimization. In Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation.
Creative Text-to-Audio Generation via Synthesizer Programming
Cherep*, M., Singh*, N., & Shand, J. (2024, July). Creative Text-to-Audio Generation via Synthesizer Programming. International Conference on Machine Learning (ICML)
Creative Text-to-Audio Generation via Synthesizer Programming
Singh*, N., Cherep*, M., & Shand, J. (2023, December). Creative Text-to-Audio Generation via Synthesizer Programming. In NeurIPS Machine Learning for Audio Workshop
SynthAX: A Fast Modular Synthesizer in JAX
Cherep*, M., & Singh*, N. (2023, May). SynthAX: A Fast Modular Synthesizer in JAX. In Audio Engineering Society Convention 155. Audio Engineering Society.
Investigating the Physiological and Psychological Effect of an Interactive Musical Interface for Stress and Anxiety Reduction
Lecamwasam, K., Gutierrez Arango, S., Singh, N., Elhaouij, N., Addae, M., & Picard, R. (2023, April). Investigating the Physiological and Psychological Effect of an Interactive Musical Interface for Stress and Anxiety Reduction. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-9).
Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence
Singh, N., Bernal, G., Savchenko, D., & Glassman, E. L. (2022). Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence. ACM Transactions on Computer-Human Interaction.
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 286-295
The Sound Sketchpad: Expressively Combining Large and Diverse Audio Collections
Nikhil Singh. 2021. The Sound Sketchpad: Expressively Combining Large and Diverse Audio Collections. In 26th International Conference on Intelligent User Interfaces (IUI ’21), April 14–17, 2021, College Station, TX, USA.