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Andrea Giuseppe Di Francesco, Sapienza University of Rome, ISTI-CNR.
Thursday 09 April 2026, 15:00-16:00
ek358's list
A personal list of talks.
Contact: Ekaterina Kochmar
4 upcoming talks View 216 archived talks
Foundation AI
GraphNeuralRAG: On the Opportunities and Challenges of GNNs for GraphRAG, from Multi-Hop Question Answering to Perturbation Modelling
β οΈ Google meet's link: https://meet.google.com/ypo-yqjc-cwv
Foundation AI
Forward Pass as Heat Flow
Artificial Intelligence Research Group Talks (Computer Laboratory)
Interpretability in the Wild: When Explainability Meets Causality and Clinical Reality
β οΈ Note unusual time
Artificial Intelligence Research Group Talks (Computer Laboratory)
Deep-layered machines have a built-in Occam's razor
β οΈ Notice unusual day, time and room
Artificial Intelligence Research Group Talks (Computer Laboratory)
Discovering mathematical concepts through a multi-agent system
β οΈ Notice unusual day, time and room
Foundation AI
AI/ML in bioinformatics and CNS drug discovery
Artificial Intelligence Research Group Talks (Computer Laboratory)
Mechanistic Interpretability - Progress and Limits
β οΈ Notice unusual time
Information Theory Seminar
Applications of Algorithmic Information Theory
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neural Symbolic Interpretability
β οΈ Notice unusual day and time
Artificial Intelligence Research Group Talks (Computer Laboratory)
Towards Causally Reliable Concept-based Models
β οΈ Notice unusual day, time and place
Machine learning theory
Tackling Label Corruptions: Univariate Polynomial Regression and Generalized Linear Models
Foundation AI
Toward a Theoretical Understanding of Self-Supervised Learning in the Foundation Model Era
β οΈ Lecture Theatre 1
Artificial Intelligence Research Group Talks (Computer Laboratory)
VIKING: Deep variational inference with stochastic projections
β οΈ Note unusual room
Machine learning theory
Learning shallow neural networks in high dimensions: SGD dynamics and scaling laws
Artificial Intelligence Research Group Talks (Computer Laboratory)
Introducing BoltzGen: Toward Universal Binder Design
β οΈ This talk is only in presence
Machine learning theory
To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models
Artificial Intelligence Research Group Talks (Computer Laboratory)
Is it even possible to defend AI agents against attacks in practice?
β οΈ NOTE unusual place (FW11)
Artificial Intelligence Research Group Talks (Computer Laboratory)
AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance
β οΈ NOTE unusual place (LT1)
Foundation AI
Quantum Interactive Oracle Proofs
Foundation AI
GNN-ACLP: Graph Neural Networks Based Analog Circuit Link Prediction
β οΈ https://drive.google.com/file/d/1XK4HTy4aaC4h2E8t8jgzDUrJrl4jBxKH/view?usp=sharing
Foundation AI
Title to be confirmed
Foundation AI
AI-Powered Graph Representation Learning for Robust and Efficient Urban and Social Science
Foundation AI
Title to be confirmed
Foundation AI
From Score to Sound: Music Generation in the AI Era
Foundation AI
AI Governance and Regulation: Comparing EU, US, and Chinaβs Models and global initiatives
Foundation AI
title
Foundation AI
Artificial Intelligence in Agrifood and Environment
Foundation AI
Performance evaluation for learning systems
Foundation AI
title
Foundation AI
title
Foundation AI
title
Foundation AI
title
Foundation AI
Title to be confirmed
Artificial Intelligence Research Group Talks (Computer Laboratory)
Success, sensitivity and unbelievable quality of LLM code generation
Artificial Intelligence Research Group Talks (Computer Laboratory)
Feedback Forensics: A Toolkit to Measure AI Personality
Artificial Intelligence Research Group Talks (Computer Laboratory)
Computer Vision: Between Forensics and Biomedical Imaging
Foundation AI
Deep Learning Approaches for Label-Free Tumour Image Segmentation Spectroscopy in Cancer Diagnosis
Foundation AI
Sheaf-Based Diffusion for Multimodal Graph Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Explainable AI in Neuroscience: From Interpretability to Biomarker Discovery
Foundation AI
Superposition in GNNs
Foundation AI
Exploring the interplay between Ricci Flow, the Fisher Information Matrix and Gradient Descent in Neural Networks
Foundation AI
bla bla
Foundation AI
bla bla
Foundation AI
bla bla
Foundation AI
blabla
Foundation AI
Deterministic Neural Syllogistic Reasoning (Part 2) recorded: https://www.youtube.com/watch?v=PFCHg-DAnEs
Foundation AI
From Machine Learning to Machine Reasoning: Deterministic Neural Syllogistic Reasoning (Part 1)
Foundation AI
Surgical data using LLMs
Artificial Intelligence Research Group Talks (Computer Laboratory)
Similarity-based Methods for Language Model Analysis and Prediction
Foundation AI
From Machine Learning to Machine Reasoning: Deterministic Neural Syllogistic Reasoning (Part 1).
Artificial Intelligence Research Group Talks (Computer Laboratory)
Multimodal AI in Spatial Biology
β οΈ Note: unusual date compared to regular AI Seminars
Foundation AI
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
β οΈ hybrid : meet.google.com/bhz-scdk-unp
Artificial Intelligence Research Group Talks (Computer Laboratory)
RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data
β οΈ NOTE unusual date
Foundation AI
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Text-and-audio methods
Artificial Intelligence Research Group Talks (Computer Laboratory)
SynFlowNet: Design of Synthesisable Molecules with GFlowNets
Foundation AI
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers
β οΈ record: https://youtu.be/iuT_tkVEgA4
Artificial Intelligence Research Group Talks (Computer Laboratory)
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Bias Mitigation in the Wild: Challenges and Opportunities
Artificial Intelligence Research Group Talks (Computer Laboratory)
Natural Experiments in NLP and Where to Find Them
Artificial Intelligence Research Group Talks (Computer Laboratory)
Paying Attention to Efficiency: LLM Deployment on Mobile and Edge Devices
Foundation AI
Sheaves for Heterogeneous Data
Foundation AI
Sheaves for Heterogeneous Data
Robotics Seminar Series
Reinforcement Learning and Learning-guided Search for Generalizability for Multi-agent Mobility Systems
Cambridge ML Systems Seminar Series
Navigating Privacy Risks in Language Models
Foundation AI
How deep can LLMs reason? Benchmarking GPT and Llama models on nested mathematical formulas
Artificial Intelligence Research Group Talks (Computer Laboratory)
Unveiling Causal Drivers of Non-Communicable Diseases with Interpretable Models
Artificial Intelligence Research Group Talks (Computer Laboratory)
Leveraging AI for Breakthroughs in Genomic Research
β οΈ Hybrid: https://cam-ac-uk.zoom.us/j/2554325137?pwd=NGZEbGl1WkJxQVdkV09oc2k1L2pwQT09 Meeting ID: 255 432 5137 Passcode: 360730
Artificial Intelligence Research Group Talks (Computer Laboratory)
The UK AI Safety Institute
Artificial Intelligence Research Group Talks (Computer Laboratory)
TacticAI: an AI assistant for football tactics
Artificial Intelligence Research Group Talks (Computer Laboratory)
POSTPONED
β οΈ POSTPONED. Sorry for inconvenience.
Foundation AI
Towards Machine Learning-enhanced Monitoring
Foundation AI
Opinion dynamics inspired sheaf neural networks.
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning to Receive Help: Intervention-Aware Concept Embedding Models
Artificial Intelligence Research Group Talks (Computer Laboratory)
Towards Learning-Powered Networked Systems
Artificial Intelligence Research Group Talks (Computer Laboratory)
Text-and-audio methods
Artificial Intelligence Research Group Talks (Computer Laboratory)
Accelerating Generative AI on Custom Hardware Accelerators - Challenges and Opportunities
Artificial Intelligence Research Group Talks (Computer Laboratory)
Vibe checks and red teaming: why ML researchers are increasingly reverting to manual evaluation
Artificial Intelligence Research Group Talks (Computer Laboratory)
Deep screening of RNA, XNA and protein interactions
β οΈ https://cl-cam-ac-uk.zoom.us/j/83721191406?pwd=V0xkY0Vvb3czWUJkR0xIZC9qMnM0QT09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data
Artificial Intelligence Research Group Talks (Computer Laboratory)
RetroBridge: Modeling Retrosynthesis with Markov Bridges
β οΈ This talk is online only: https://cam-ac-uk.zoom.us/j/92041617729
Foundation AI
Multi-Agent Graph Learning-Based Optimization and its Applications to Computer Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Multi-Agent Simulation and Learning in TorchRL
Foundation AI
Revolutionizing Biosensing Technologies: Plug and Play Devices in Medical and Agricultural Diagnostics
Artificial Intelligence Research Group Talks (Computer Laboratory)
AbDiffuser: Full-Atom Generation of In Vitro Functioning Antibodies
β οΈ Notice that this talk is online only: https://cam-ac-uk.zoom.us/j/92041617729 Pietro Lio and Chaitanya Joshi will introduce the speakers
Artificial Intelligence Research Group Talks (Computer Laboratory)
On Learning Latent Models with Multi-Instance Weak Supervision
Artificial Intelligence Research Group Talks (Computer Laboratory)
Sediment core analysis using artificial intelligence
Artificial Intelligence Research Group Talks (Computer Laboratory)
Scattering Networks and Singular Values Decomposition: different methods to remove background in Single-Molecule Localization Microscopy image
β οΈ hybrid (zoom link at the end of the abstract)
Artificial Intelligence Research Group Talks (Computer Laboratory)
Sphere Neural-Network for Higher-level Cognition
β οΈ join us also with zoom
Artificial Intelligence Research Group Talks (Computer Laboratory)
Is ChatGPT adequate for decision-making?
Artificial Intelligence Research Group Talks (Computer Laboratory)
Protein generation and fitness optimization
β οΈ https://cl-cam-ac-uk.zoom.us/j/94094286505?pwd=T2V3MFVSQ1ZKTFFyYlFueHlzTE83Zz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Interpretable Neural-Symbolic Concept Reasoning
β οΈ Note this is on zoom only! Note a change of date! Note a new zoom link!
Artificial Intelligence Research Group Talks (Computer Laboratory)
POSTPONED: Interpretable Neural-Symbolic Concept Reasoning
β οΈ This talk has moved to 20 June 2023.
Artificial Intelligence Research Group Talks (Computer Laboratory)
Untangling genome assembly graphs with graph neural networks
β οΈ https://cl-cam-ac-uk.zoom.us/j/93934749405?pwd=M0ZERUZleklON01vZlpXbzhqTld0Zz09. ; ID riunione: 939 3474 9405 Passcode: 374750
Artificial Intelligence Research Group Talks (Computer Laboratory)
Information Spreading on Networks
β οΈ NOTE A CHANGE OF ROOM DUE TO EXAMS. NOW SS03
Artificial Intelligence Research Group Talks (Computer Laboratory)
Hypergraph Factorisation for Multi-Tissue Gene Expression Imputation
β οΈ NOTE: Room changed, now Lecture Theatre 1
Artificial Intelligence Research Group Talks (Computer Laboratory)
MaRF: Representing Mars as Neural Radiance Fields
Artificial Intelligence Research Group Talks (Computer Laboratory)
Unveiling Bounded Confidence Dynamics in Sheaf Neural Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Improving learning with noisy labels in two possibile scenarios.
Artificial Intelligence Research Group Talks (Computer Laboratory)
Relative Entropy Coding for Learned Data Compression
Artificial Intelligence Research Group Talks (Computer Laboratory)
Integrating Radiomics and Explainable Methods: Paving the Way for Transparent and Interpretable Medical Imaging Analysis
Artificial Intelligence Research Group Talks (Computer Laboratory)
Dimensionality Reduction via Probabilistic Inference
Artificial Intelligence Research Group Talks (Computer Laboratory)
Structure-based Drug Design and Molecular Optimisation with Diffusion Models
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neural Networks for High-Dimensional Tabular Biomedical Datasets
Artificial Intelligence Research Group Talks (Computer Laboratory)
Relative representations enable zero-shot latent space communication
β οΈ Organized by Donato Crisostomi and Pietro Barbiero
Artificial Intelligence Research Group Talks (Computer Laboratory)
Composite Feature Selection using Deep Ensembles
Artificial Intelligence Research Group Talks (Computer Laboratory)
When Vision Transformers Meet Cooperative Perception
Artificial Intelligence Research Group Talks (Computer Laboratory)
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-off
Artificial Intelligence Research Group Talks (Computer Laboratory)
A Distance Function based Cascaded Neural Network for accurate Polyps Segmentation and Classification
β οΈ https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Approximate Equivariance SO(3) Needlet Convolution
β οΈ https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Global Explainability of GNNs via Logic Combination of Learned Concepts
β οΈ https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
The Interpretability of Graph Neural Networks
β οΈ Join Zoom Meeting https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning Feynman Diagrams using Graph Neural Networks
β οΈ https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning Multi-Scene Absolute Pose Regression with Transformers
Artificial Intelligence Research Group Talks (Computer Laboratory)
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Artificial Intelligence Research Group Talks (Computer Laboratory)
Graph Neural Networks for Geometric Graphs
Artificial Intelligence Research Group Talks (Computer Laboratory)
AI for Science: An Oral Report from a Recent Dagstuhl Workshop
Artificial Intelligence Research Group Talks (Computer Laboratory)
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
β οΈ https://cl-cam-ac-uk.zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Query-based Hard-Image Retrieval for Object Detection at Test Time
Artificial Intelligence Research Group Talks (Computer Laboratory)
Cancelled! Sorry for inconvenience.
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning Backward Compatible Embeddings
β οΈ hybrid event (https://cl-cam-ac-uk.zoom.us/j/92564083880?pwd=Wk5DVWpUc2lIN0krMFU5azEwUGpEUT09)
Artificial Intelligence Research Group Talks (Computer Laboratory)
The Problem of Size Generalization in Graph Neural Networks
β οΈ Recording: https://www.youtube.com/watch?v=W4jNbgtBl_k
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neighbourhood matching creates realistic surrogate temporal networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neural Sequence Models for Mathematical Reasoning
β οΈ RESCHEDULED, NOTE THE UNUSUAL TIME
Artificial Intelligence Research Group Talks (Computer Laboratory)
Multi-fidelity machine learning models for improved high-throughput screening predictions
Artificial Intelligence Research Group Talks (Computer Laboratory)
Lifted Relational Neural Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
On the Two-fold Role of Logic Constraints in Deep Learning
β οΈ https://cl-cam-ac-uk.zoom.us/j/99805544705?pwd=cXR6MTlaeXd6VmEreVdQSmFRblBtUT09
Artificial Intelligence Research Group Talks (Computer Laboratory)
Machine learning as an assay for high-dimensional biology
Artificial Intelligence Research Group Talks (Computer Laboratory)
Work in progress: Making efficient use of language models for theorem proving
Artificial Intelligence Research Group Talks (Computer Laboratory)
POSTPONED till next week!!!! Work in progress: Making efficient use of language models for theorem proving
β οΈ Postponed till next week
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Artificial Intelligence Research Group Talks (Computer Laboratory)
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
Artificial Intelligence Research Group Talks (Computer Laboratory)
Brain charts for the human lifespan
Artificial Intelligence Research Group Talks (Computer Laboratory)
Advancing mathematics by guiding human intuition with AI
Artificial Intelligence Research Group Talks (Computer Laboratory)
An Introduction to Federated Learning and its Applications in Medicine
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning on Graphs with Missing Node Features
Artificial Intelligence Research Group Talks (Computer Laboratory)
Weisfeiler and Lehman Go Cellular: CW Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Gaussian Processes on Graphs via Spectral Kernel Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
3D Pre-training improves GNNs for Molecular Property Prediction
Artificial Intelligence Research Group Talks (Computer Laboratory)
Unlocking Deep Learning for Graphs
Artificial Intelligence Research Group Talks (Computer Laboratory)
Structure-aware generation of molecules in protein pockets
Artificial Intelligence Research Group Talks (Computer Laboratory)
Geometric Deep Learning: Grids, Graphs, Groups, Geodesics, and Gauges
Artificial Intelligence Research Group Talks (Computer Laboratory)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Towards Robust and Reliable Model Explanations
Artificial Intelligence Research Group Talks (Computer Laboratory)
Predicting outcome for psychotic disorders, using brain connectivity and transcribed speech data
Artificial Intelligence Research Group Talks (Computer Laboratory)
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Computational foundations of morphogenomics
Artificial Intelligence Research Group Talks (Computer Laboratory)
Landscape and Gaps in Open Source Fairness Toolkits
Artificial Intelligence Research Group Talks (Computer Laboratory)
Machine Learning and String theory
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neural ODE Processes
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning under model misspecification
Artificial Intelligence Research Group Talks (Computer Laboratory)
Latent Action Space for Offline Reinforcement Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Debugging Machine Learning Code
Artificial Intelligence Research Group Talks (Computer Laboratory)
Predicting material properties with the help of machine learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Improving the Aggregation in Graph Networks: can nodes understand their neighbourhood?
Artificial Intelligence Research Group Talks (Computer Laboratory)
Wasserstein Natural Gradients for Reinforcement Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Graph Neural Networks for Biomedical Data
β οΈ Note the change of date and time. This seminar is part of the Wednesday seminar series too.
Artificial Intelligence Research Group Talks (Computer Laboratory)
What is Next for the Efficient Machine Learning Revolution?
Artificial Intelligence Research Group Talks (Computer Laboratory)
Second Order Behaviour in Augmented Neural ODEs
Artificial Intelligence Research Group Talks (Computer Laboratory)
Modulated Bayesian Optimisation
Artificial Intelligence Research Group Talks (Computer Laboratory)
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
Artificial Intelligence Research Group Talks (Computer Laboratory)
Predicting Mortality and Length of Stay with Patient Graph Representation Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Sponge Examples: Energy-Latency Attacks on Neural Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Emergent Multi-Agent Communication: The story so far
Artificial Intelligence Research Group Talks (Computer Laboratory)
A Weighting Based Adversarial Approach to Fairness in Machine Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Adversarial Explanations - You Shouldn't Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods
Artificial Intelligence Research Group Talks (Computer Laboratory)
Developing a Concept-Oriented Search Engine for Isabelle Based on Natural Language : Technical Challenges
Artificial Intelligence Research Group Talks (Computer Laboratory)
Graph Representation Learning under Uncertainty (WIP)
Artificial Intelligence Research Group Talks (Computer Laboratory)
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
Artificial Intelligence Research Group Talks (Computer Laboratory)
Learning evolving node and community representations on dynamic graphs
Artificial Intelligence Research Group Talks (Computer Laboratory)
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Artificial Intelligence Research Group Talks (Computer Laboratory)
Knowledge Graph Convolutional Networks - Combining ML and Reasoning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Some ideas on neural network modulation
Artificial Intelligence Research Group Talks (Computer Laboratory)
KRAB zinc fingers, transposable elements and the evolution of gene regulatory networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
Machine learning for network inference
Artificial Intelligence Research Group Talks (Computer Laboratory)
Non-convex Optimisation Using the Polyak-Εojasiewicz Inequality
Artificial Intelligence Research Group Talks (Computer Laboratory)
Flexible deep learning for heterogeneous clinical time series
Artificial Intelligence Research Group Talks (Computer Laboratory)
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
A Geometrical Perspective on Deep Neural Networks
Artificial Intelligence Research Group Talks (Computer Laboratory)
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
Artificial Intelligence Research Group Talks (Computer Laboratory)
Work in progress: Diving deeper into building distributed representations graphs
Artificial Intelligence Research Group Talks (Computer Laboratory)
AI, Data Science & Mechanism Design in Sub-Saharan Africa
Artificial Intelligence Research Group Talks (Computer Laboratory)
Model extraction for clinical decision support systems
Artificial Intelligence Research Group Talks (Computer Laboratory)
Finding an Analogy
Artificial Intelligence Research Group Talks (Computer Laboratory)
Matrix Means for Signed and Multilayer Graph Clustering
Artificial Intelligence Research Group Talks (Computer Laboratory)
Rule extraction from deep neural nets
Artificial Intelligence Research Group Talks (Computer Laboratory)
Machine Learning Systems Design
Artificial Intelligence Research Group Talks (Computer Laboratory)
Question Answering in Realistic Visual Environments: Challenges and Approaches
Artificial Intelligence Research Group Talks (Computer Laboratory)
Neural networks to model probability densities in quantum chromodynamics
Artificial Intelligence Research Group Talks (Computer Laboratory)
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
Artificial Intelligence Research Group Talks (Computer Laboratory)
Verifiable robustness of neural networks in autonomous vehicles.
Artificial Intelligence Research Group Talks (Computer Laboratory)
A human-oriented term rewriting system
Artificial Intelligence Research Group Talks (Computer Laboratory)
Interpretable Deep Learning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Dilated DenseNets for Relational Reasoning
Artificial Intelligence Research Group Talks (Computer Laboratory)
Quick intro to building and analysing distributed representation of graphs
Please see above for contact details for this list.