The results of my research have been published at the flagship conferences in machine learning and artificial intelligence (NeurIPS, ICML, AAAI). This page lists some the presentations delivered at conferences and different research institutes, along with accompanying slides and posters.

conferences

Dec 2023
Zero-shot Lead Optimization of Antibodies and Nanobodies
AstraZeneca EXPO Workshop, Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana
Flagship Conference on Machine Learning, CORE Rank: A (Top 7% in CS)
Dec 2022
Graph Neural Networks with Adaptive Readouts
Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana
Flagship Conference on Machine Learning, CORE Rank: A (Top 7% in CS)
Jul 2022
Towards Robust Waveform-Based Acoustic Models
AstraZeneca EXPO, International Conference on Machine Learning (ICML), Baltimore, Maryland
Flagship Conference on Machine Learning, CORE Rank: A (Top 7% in CS)
Oct 2020
A Deep 2D CNN for Waveform-based Speech Recognition
Annual Conference of Int. Speech Communication Association (INTERSPEECH)
CORE Rank: A (Top 19% in CS)
Jun 2019
Scalable Learning in Reproducing Kernel Kreı̆n Spaces
International Conference on Machine Learning (ICML), Long Beach, California
Flagship Conference on Machine Learning, CORE Rank: A* (Top 7% in CS)
Jun 2019
Towards a Unified Analysis of Random Fourier Features
International Conference on Machine Learning (ICML), Long Beach, California
Flagship Conference on Machine Learning, CORE Rank: A* (Top 7% in CS)
Jul 2018
Learning in Reproducing Kernel Kreı̆n Spaces
International Conference on Machine Learning (ICML), Stockholm, Sweden
Flagship Conference on Machine Learning, CORE Rank: A* (Top 7% in CS)
Aug 2017
Nyström Method with Kernel K-means++ Samples as Landmarks
International Conference on Machine Learning (ICML), Sydney, Australia
Flagship Conference on Machine Learning, CORE Rank: A* (Top 7% in CS)
Dec 2016
Greedy Feature Construction
Adv. in Neural Information Processing Systems (NeurIPS), Barcelona, Spain
Flagship Conference on Machine Learning, CORE Rank: A* (Top 7% in CS)
Sep 2014
Interactive Knowledge-Based Kernel PCA
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Nancy, France
CORE Rank: A (Top 19% in CS)

invited talks

Oct 2022
Towards Robust Waveform-Based Acoustic Models
The van der Schaar Lab: Machine Learning and AI for Medicine, University of Cambridge
Nov 2020
Parznets -- Deep CNNs for Waveform-based Speech Recognition
Machine Learning Research Unit, Faculty of Informatics, TU Wien
Apr 2020
On Scalable Learning with Kernels and Cyclic Discovery Processes
Virtual Talk, Alexa Shopping, Amazon UK
Nov 2019
On Scalable Learning with Kernels and Cyclic Discovery Processes
Department of Computing, Imperial College London
Nov 2019
On Scalable Learning in Kreı̆n Spaces and Cyclic Discovery Processes
Department of Statistics, University of Oxford
Jul 2019
Recent Advances in Kernel Methods
Department of Informatics, King's College London
Jun 2018
Constructive Approximation and Learning by Greedy Algorithms
Dissertation Defense, Institute of Informatics III, University of Bonn
Oct 2017
Constructive Approximation and Learning by Greedy Algorithms
Machine Learning Group, University of Cambridge
May 2017
Active Search in Intensionally Specified Structured Spaces
High Performance Computing User Conference, University of Nottingham
Dec 2014
Interactive Knowledge-Based Kernel PCA
CAML Reading Group, Fraunhofer IAIS, Sankt Augustin