Publications
Planned Diffusion
Daniel Israel*, Tian Jin*, Ellie Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin
In Proceedings of the 14th International Conference on Learning Representations (ICLR 2026)
[paper] [code]
The Pitfalls of KV Cache Compression
Alex Chen, Renato Geh, Aditya Grover, Guy Van den Broeck, Daniel Israel
Under Review at ACL 2026
[paper] [code]
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Daniel Israel, Guy Van den Broeck, Aditya Grover
In Advances in Neural Information Processing Systems 39 (NeurIPS 2025) — Spotlight (3.1% Acceptance Rate)
[paper] [code]
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
Siyan Zhao*, Daniel Israel*, Guy Van den Broeck, Aditya Grover
In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)
[paper] [code]
Enabling Autoregressive Models to Fill In Masked Tokens
Daniel Israel, Aditya Grover, Guy Van den Broeck
In Findings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
[paper]
MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants
Hritik Bansal, Daniel Israel, Siyan Zhao, Shufan Li, Tung Nguyen, Aditya Grover
In Advances in Neural Information Processing Systems 39 (NeurIPS 2025)
[paper] [code]
Fast and Memory-Efficient Multi-Sequence Generation via Structured Masking
Daniel Israel, Siyan Zhao, Guy Van den Broeck, Aditya Grover
Workshop on Efficient Systems for Foundation Models II (ICML 2024)
[paper]
High Dimensional Causal Inference with Variational Backdoor Adjustment
Daniel Israel, Aditya Grover, Guy Van den Broeck
Preprint
[paper] [code]
* denotes equal contribution