Category Archives: news
Meet us at the NIPS workshops were we will be presenting the following works:
- Sample-Efficient Imitation Learning via Generative Adversarial Nets (Lionel Blondé, Alexandros Kalousis), in the Deep RL and in the Imitation Learning and its Challenges in Robotics workshops.
- Continual Classification Learning Using Generative Models (Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis), in the Continual Learning workshop.
- Variational Saccading: Efficient Inference for Large Resolution Images (Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis), in the Bayesian Deep Learning workshop.
Read the blog to know about the latest endeavours of the DMML group!
Warm welcomes to our new colleague, Ye Yuan, who started his PhD with us in September 2018 to work on our gait project. Ye has got a master's degree in Computer Science from the Institute of Computing Technology of the University of Chinese Academy of Science and has got some experience with NLP and stock market predictions. We hope Ye will be a good fit for our team and that he will enjoy his PhDing in Geneva, Switzerland. Continue reading
On Monday 12/November we will host a talk of Dr. Julien Mairal, Inria, Grenoble on: "Invariance and Stability to Deformations of Deep Convolutional Representations".
Later the same day, Magda will defend her thesis on "Sparse Learning for variable selection with structures and nonlinearities". Continue reading
Lionel Blondé will present his work on "Sample-Efficient Imitation Learning via Generative Adversarial Nets" at the 2018 edition of the Swiss Machine Learning Day. Continue reading
Jason Ramapuram will be at BMVC2018 to talk about his new paper "A New Benchmark and Progress Toward Improved Weakly Supervised Learning" Continue reading
We will present our new paper on Large-scale Nonlinear Variable Selection via Kernel Random Features at ECML PKDD 2018. Continue reading
Our paper on Structured nonlinear variable selection has been accepted to the UAI2018 conference. Continue reading
Our paper : Deep alignment: Unsupervised ontology matching with refined word vectors, Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis, will be presented in NAACL.