Laura Toni
Associate Professor
Leads the Learning and Signal Processing lab, working on graph signal processing, online learning and reinforcement learning for networked and multimedia systems.
Laura Toni's lab at UCL works on signal processing & information theory, reinforcement learning and speech enhancement & signal processing. 21 papers since 2023, 7 at top venues, mostly AISTATS and ECML-PKDD. 6 PhD students. 3 alumni, most often to Amazon and Google DeepMind.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 33%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 3
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 3 papers2026 · T1 1 · collecting
- 7 papers2025 · T1 5
- 5 papers2024 · T1 0
- 6 papers2023 · T1 1
T1 venuesOtherVenues: AISTATS, ECML-PKDD, NeurIPS, ICLR, ICML
Research focuspaper titles that use each topic's words
- Reinforcement learning7 papers
- Signal processing & information theory2 papers
- Speech enhancement & signal processing0 papers
- signal processing0 papers
- signal0 papers
Paper list
From the lab homepage and DBLP.
20263 papers
- ICLR (T1)Bures-Wasserstein Flow Matching for Graph Generation (opens in a new tab)
- Signal Process. Image Commun.GT-MilliNoise: Graph transformer for point-wise denoising of indoor millimetre-wave point clouds (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning (opens in a new tab)
20257 papers
- ACM Trans. Multim. Comput. Commun. Appl.A Clustering Approach to Unveil User Similarities in 6 df Extended Reality Applications (opens in a new tab)
- ICML (T1)Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds (opens in a new tab)
- NeurIPS (T1)Effects of Dropout on Performance in Long-range Graph Learning Tasks (opens in a new tab)
- AISTATS (T1)Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes (opens in a new tab)
- NeurIPS (T1)NAVIX: Scaling MiniGrid Environments with JAX (opens in a new tab)
- AISTATS (T1)Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning (opens in a new tab)
- Neural Comput. Appl.The impact of intrinsic rewards on exploration in Reinforcement Learning (opens in a new tab)
20245 papers
- Trans. Mach. Learn. Res.A Survey of Temporal Credit Assignment in Deep Reinforcement Learning (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.AGAR - Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects (opens in a new tab)
- IEEE Trans. Inf. TheoryInformation-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm (opens in a new tab)
- IEEE J. Sel. Areas Inf. TheoryLearning Algorithm Generalization Error Bounds via Auxiliary Distributions (opens in a new tab)
- MMSysMilliNoise: a Millimeter-wave Radar Sparse Point Cloud Dataset in Indoor Scenarios (opens in a new tab)
20236 papers
- RecSys (T1)Bootstrapped Personalized Popularity for Cold Start Recommender Systems (opens in a new tab)
- IXR@MMCorrelation between Entropy and Prediction Error in VR Head Motion Trajectories (opens in a new tab)
- MMSysExtending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications (opens in a new tab)
- EURASIP J. Adv. Signal Process.Image embedding and user multi-preference modeling for data collection sampling (opens in a new tab)
- ECML-PKDDMiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation (opens in a new tab)
- ECML-PKDDOnline Network Source Optimization with Graph-Kernel MAB (opens in a new tab)
Where alumni went3 listed, 100% to industry
Industry 2Academia 0
Most often to
- Amazon
- Google DeepMind
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage and DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.