activity
20162026
most citedFlexible Multiple-Objective Reinforcement Learning for Chip Placement

3 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Cross-Tokenizer LLM Distillation through a Byte-Level Interface

Avyav Kumar Singh, Yen-Chen Wu, Alexandru Cioba +2

Cross-tokenizer distillation (CTD), the transfer of knowledge from a teacher to a student language model when the two use different tokenizers, remains a largely unsolved problem.…

cs.LG2025

Reinforcement Learning Using known Invariances

Alexandru Cioba, Aya Kayal, Laura Toni +2

In many real-world reinforcement learning (RL) problems, the environment exhibits inherent symmetries that can be exploited to improve learning efficiency. This paper develops a th…

cs.LG2024

Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization

Davide Buffelli, Jamie McGowan, Wangkun Xu +4

Second-order optimization has been shown to accelerate the training of deep neural networks in many applications, often yielding faster progress per iteration on the training loss…

cs.LG2024★ 2 cited

Sample-efficient Bayesian Optimisation Using Known Invariances

Theodore Brown, Alexandru Cioba, Ilija Bogunovic

Bayesian optimisation (BO) is a powerful framework for global optimisation of costly functions, using predictions from Gaussian process models (GPs). In this work, we apply BO to f…

cs.LG2022★ 3 cited

Flexible Multiple-Objective Reinforcement Learning for Chip Placement

Fu-Chieh Chang, Yu-Wei Tseng, Ya-Wen Yu +11

Recently, successful applications of reinforcement learning to chip placement have emerged. Pretrained models are necessary to improve efficiency and effectiveness. Currently, the…

cs.LG2021

How to distribute data across tasks for meta-learning?

Alexandru Cioba, Michael Bromberg, Qian Wang +5

Meta-learning models transfer the knowledge acquired from previous tasks to quickly learn new ones. They are trained on benchmarks with a fixed number of data points per task. This…

eess.SP2020

Efficient attention guided 5G power amplifier digital predistortion

Alexandru Cioba, Alvin Chua, Da-shan Shiu +2

We investigate neural network (NN) assisted techniques for compensating the non-linear behaviour and the memory effect of a 5G PA through digital predistortion (DPD). Traditionally…

math.SG2016

Unknotted Reeb orbits and nicely embedded holomorphic curves

Alexandru Cioba, Chris Wendl

We exhibit a distinctly low-dimensional dynamical obstruction to the existence of Liouville cobordisms: for any contact 3-manifold admitting an exact symplectic cobordism to the ti…