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  • Date

    10 December 2025

  • Time

    9am-5pm

  • Location

    William Gates Building, Department of Computer Science and Technology, 15 JJ Thomson Avenue, Cambridge CB3 0FD

  • Organizers

    ai@cam, Accelerate Science and the Cambridge ELLIS Unit

    Agenda

  • 09:45 – 10:00
    Tom Cowperthwaite
    GPGreen: Learning Linear Operators using Gaussian Processes
  • 10:00 – 10:15
    PILA: Physics-Informed Low Rank Adaptation for Interpretable Earth Observation
  • 10:15 – 10:30
    Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh
  • 10:30 – 10:45
    TabStruct: Measuring Structural Fidelity of Tabular Data
  • 10:45-11:30
    Break 45 min
  • 11:30 – 12:30
    Unveiling Social Tipping Mechanisms in Climate Discourse Using Computational Social Sciences
  • 12.30-13.35
    Lunch 1 hour
  • 13:35 – 13:45
    When is a System Discoverable from Data?
  • 13:45 – 13:55
    Neural Reasoning for Sure Through Constructing Explainable Models
  • 13:55 – 14:05
    Stroke Patches: Customizable Artistic Styling Using Regression
  • 14:05 – 14:15
    Hierarchical Concept-based Interpretable Models
  • 14:15 – 14:25
    Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
  • 14:25 – 14:35
    Towards Generalizable Retinal Vessel Segmentation with Deformable Graph Priors
  • 14:35 – 14:45
    AI-driven MEMS Acoustic Sensors
  • 14:45 – 14:55
    Towards Equitable Photoacoustic Imaging: Digital-Twin Inspired Skin Pigmentation Bias Correction
  • 14.55-15.15
    Break 20 mins
  • 15:15 – 15:25
    Koopman Autoencoder for Ocean State Forecasting
  • 15:25 – 15:35
    Neural Network-enabled Domain-consistent Robust Optimisation for Global CO₂ Reduction Potential of Gas Power Plants
  • 15:35 – 15:45
    AI-enabled Insights Into Galaxy Evolution
  • 15:45 – 16:30
    Beyond Tokens and GPUs: What Survives When the AI Bubble Pops?
  • 16.30 - 17.00
    Drinks reception 30 mins

NeurIPS@Cam 2025

NeurIPS@Cam 2025

Programme Overview

NeurIPS@Cam 2025 is part of the AI for Science Summit (9 to 10 December 2025) hosted by the Accelerate Programme for Scientific Discovery, a two day event celebrating advances in machine learning and their impact across scientific domains. On the second day of the Summit, NeurIPS@Cam brings together students, researchers, and engineers across the Cambridge community for a full day dedicated to discussing work presented at NeurIPS and related advances in AI research. The day is organised in partnership with the Cambridge Centre for Data Driven Discovery (C2D3), and the first half of the programme is delivered jointly with C2D3.

The joint C2D3/NeurIPS@Cam morning session will include talks on new ways to solve problems along with a keynote. The afternoon programme (see C2D3 events page for parallel session run by C2D3) consists of two presentation sessions followed by a panel discussion. All speakers present their ongoing research, and the event provides a space to share ongoing research, exchange ideas, and strengthen connections across the local AI community.

Registration

We have closed registration as the event has reached full capacity. If you would like to be placed on the waiting list please get in touch with Annabelle Scott (as599@cam.ac.uk).

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