| Mar, 2026 | ICLR 2026 Workshops: We will present our work on self-distillation (1, 2) with oral presentations at the SPOT workshop, LLA workshop, and TTU workshop, and as spotlight at the RSI workshop. We also present majority voting for code generation at the TTU workshop. |
| Feb, 2026 | We release three papers on self-distillation: [1] on self-distillation from demonstrations enabling continual learning, [2] on reinforcement learning via self-distillation, and [3] on online self-distillation from raw user interactions. Read more. |
| Jan, 2026 | ICLR 2026: Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models has been accepted! |
| Nov, 2025 | Gave an invited lecture on test-time training at EPFL. Slides are here. |
| Sep, 2025 | NeurIPS 2025: DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning has been accepted! We will also present our work towards understanding the effectiveness of test-time training in foundation models with an oral presentation at the CCFM workshop. |
| Jul, 2025 | COLM 2025: Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging has been accepted! We will also present our work on test-time scaling via prefix-confidence at the SCALR workshop. |
| May, 2025 | ICML 2025: Active Fine-Tuning of Multi-Task Policies has been accepted! We will also present our work on test-time offline RL at the PUT workshop and our work on curricula for sparse-reward RL at the EXAIT workshop. |
| Feb, 2025 | Very excited to share notes on Probabilistic AI that I have been writing with Andreas Krause! |
| Jan, 2025 | ICLR 2025: Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs has been accepted! |
| Jan, 2025 | AISTATS 2025: LITE: Efficiently Estimating Gaussian Probability of Maximality has been accepted! |
| Oct, 2024 | NeurIPS 2024: Our work Transductive Active Learning: Theory and Applications was accepted! We will also present our work on efficiently learning at test-time with LLMs with an oral presentation at the FITML workshop. |
| Jun, 2024 | ICML 2024: Our work on Transductive Active Learning with Application to Safe Bayesian Optimization was accepted as an oral presentation (top 5%) at the ARLET workshop. |
| Mar, 2024 | ICLR 2024: Our work on Active Few-Shot Fine-Tuning was accepted at the BGPT workshop! |
| Feb, 2024 | I received the ETH Medal for my Master’s thesis on transductive active learning 🎉! Big thanks to my incredible collaborators Bhavya Sukhija, Lenart Treven, Yarden As, and Andreas Krause. |