22 citations · 40 across the 10 of their papers we have counts for
10 papers
Knowledge-Conditioned, Single-Pass LLM Synthesis of Executable Unity Game Scenes: A Compiler Error Census across 26 Goal Playable Concepts
Hugh Xuechen Liu, Kıvanç Tatar
Large language models (LLMs) write Unity C\# for game scenes. Yet nearly all demonstrations rest on an iterative repair loop that regenerates code until it compiles, conflating wha…
ARIA: A Diagnostic Framework for Music Training Data Attribution
Changheon Han, Ashkan Panahi, Kıvanç Tatar
Training data attribution (TDA) for music generation must answer two questions that copyright analysis requires, namely which training songs influence a generated output and along…
Mage: Multi-Axis Evaluation of LLM-Generated Executable Game Scenes Beyond Compile-Pass Rate
Hugh Xuechen Liu, Kıvanç Tatar
Compile-pass rate is the dominant evaluation signal for LLM code generation, yet for multi-component domain-specific artifacts it can be actively misleading. We demonstrate this on…
Grounding Machine Creativity in Game Design Knowledge Representations: Empirical Probing of LLM-Based Executable Synthesis of Goal Playable Patterns under Structural Constraints
Hugh Xuechen Liu, Kıvanç Tatar
Creatively translating complex gameplay ideas into executable artifacts (e.g., games as Unity projects and code) remains a central challenge in computational game creativity. Gamep…
AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs
Hugh Xuechen Liu, Kıvanç Tatar
Bipartite knowledge graphs in niche domains are typically data-poor and edge-sparse, which hinders link prediction. We introduce AEGIS (Authentic Edge Growth In Sparsity), an edge-…
Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI
Kelsey Cotton, Kıvanç Tatar
The ethics of AI as both material and medium for interaction remains in murky waters within the context of musical and artistic practice. The interdisciplinarity of the field is re…
Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures
Kıvanç Tatar, Kelsey Cotton, Daniel Bisig
The research in Deep Learning applications in sound and music computing have gathered an interest in the recent years; however, there is still a missing link between these new tech…
A Shift In Artistic Practices through Artificial Intelligence
Kıvanç Tatar, Petter Ericson, Kelsey Cotton +6
The explosion of content generated by artificial intelligence (AI) models has initiated a cultural shift in arts, music, and media, whereby roles are changing, values are shifting,…
On the importance of AI research beyond disciplines
Virginia Dignum, Donal Casey, Teresa Cerratto-Pargman +17
As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is…
Introducing Latent Timbre Synthesis
K. Tatar, D. Bisig, P. Pasquier
We present the Latent Timbre Synthesis (LTS), a new audio synthesis method using Deep Learning. The synthesis method allows composers and sound designers to interpolate and extrapo…