Zobrazeno 1 - 10
of 5 887
pro vyhledávání: '"Horsch, A."'
Autor:
Agarwal, Rohit, Naidu, Karaka Prasanth, Horsch, Alexander, Agarwal, Krishna, Prasad, Dilip K.
We study the online learning problem characterized by the varying input feature space of streaming data. Although LSTMs have been employed to effectively capture the temporal nature of streaming data, they cannot handle the dimension-varying streams
Externí odkaz:
http://arxiv.org/abs/2410.17394
In multi-task reinforcement learning, agents train on a fixed set of tasks and have to generalise to new ones. Recent work has shown that increased exploration improves this generalisation, but it remains unclear why exactly that is. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2410.03565
The domain of online learning has experienced multifaceted expansion owing to its prevalence in real-life applications. Nonetheless, this progression operates under the assumption that the input feature space of the streaming data remains constant. I
Externí odkaz:
http://arxiv.org/abs/2404.04903
Untrimmed videos have interrelated events, dependencies, context, overlapping events, object-object interactions, domain specificity, and other semantics that are worth highlighting while describing a video in natural language. Owing to such a vast d
Externí odkaz:
http://arxiv.org/abs/2311.02538
Autor:
Agarwal, Rohit, Sinha, Aman, Vishwakarma, Ayan, Coubez, Xavier, Clausel, Marianne, Constant, Mathieu, Horsch, Alexander, Prasad, Dilip K.
Modeling irregularly-sampled time series (ISTS) is challenging because of missing values. Most existing methods focus on handling ISTS by converting irregularly sampled data into regularly sampled data via imputation. These models assume an underlyin
Externí odkaz:
http://arxiv.org/abs/2309.08698
Autor:
Eyberg Christoph, Shiravand Ashkan, Klemm Patrick, Horsch Johannes, Cattaneo Giorgio, Langejürgen Jens
Publikováno v:
Current Directions in Biomedical Engineering, Vol 10, Iss 1, Pp 13-16 (2024)
Knowledge of contact forces between instruments and blood vessels during endovascular interventions like thrombectomies can help make these interventions safer and faster. We show that it is generally feasible to derive the contact forces directly fr
Externí odkaz:
https://doaj.org/article/067f5b602edd417faa3321aa7a4da239
Autor:
Arora, Gauri, Butola, Ankit, Rajput, Ruchi, Agarwal, Rohit, Agarwal, Krishna, Horsch, Alexander, Prasad, Dilip K, Senthilkumaran, Paramasivam
Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital angular momentum states of hybridly polarized Stokes singular beams p
Externí odkaz:
http://arxiv.org/abs/2306.05974
Publikováno v:
Transactions on Machine Learning Research, 2023
Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the appearance of new features at later points in time and a lack of clarit
Externí odkaz:
http://arxiv.org/abs/2303.05155
Image retrieval has garnered growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid learning using both supervision and self-supervision. We present a nov
Externí odkaz:
http://arxiv.org/abs/2303.03050
Autor:
Punnakkal, Abhinanda R., Jadhav, Suyog S, Horsch, Alexander, Agarwal, Krishna, Prasad, Dilip K.
Fluorescence microscopy is a quintessential tool for observing cells and understanding the underlying mechanisms of life-sustaining processes of all living organisms. The problem of extracting 3D shape of mitochondria from fluorescence microscopy ima
Externí odkaz:
http://arxiv.org/abs/2303.01546