Zobrazeno 1 - 10
of 55 133
pro vyhledávání: '"Ankur, A."'
Quantum simulation in its current state faces experimental overhead in terms of physical space and cooling. We propose boson sampling as an alternative compact synthetic platform performing at room temperature. Identifying the capability of estimatin
Externí odkaz:
http://arxiv.org/abs/2410.13938
Autor:
Rohatgi, Dhruv, Marwah, Tanya, Lipton, Zachary Chase, Lu, Jianfeng, Moitra, Ankur, Risteski, Andrej
Graph neural networks (GNNs) are the dominant approach to solving machine learning problems defined over graphs. Despite much theoretical and empirical work in recent years, our understanding of finer-grained aspects of architectural design for GNNs
Externí odkaz:
http://arxiv.org/abs/2410.09867
Audio deepfake detection is crucial to combat the malicious use of AI-synthesized speech. Among many efforts undertaken by the community, the ASVspoof challenge has become one of the benchmarks to evaluate the generalizability and robustness of detec
Externí odkaz:
http://arxiv.org/abs/2410.07379
Energy-based learning algorithms, such as predictive coding (PC), have garnered significant attention in the machine learning community due to their theoretical properties, such as local operations and biologically plausible mechanisms for error corr
Externí odkaz:
http://arxiv.org/abs/2410.04708
Possibilities of observing single mode and intermodal quantum correlations (e.g., antibunching, steering and entanglement) are studied for a probed-hyper-Raman system with specific attention on the impact of a probe on the single and multi-mode quant
Externí odkaz:
http://arxiv.org/abs/2410.04007
Autor:
Pandey, Preeti, Manna, Sourav, Frei, Kristiana N., Saji, Jerin, Denis, Anne, Savin, Alexander, Watanabe, Kenji, Taniguchi, Takashi, Hakonen, Pertti J., Das, Ankur, Kumar, Manohar
Since the ground-breaking discovery of the quantum Hall effect, half-quantized quantum Hall plateaus have been some of the most studied and sought-after states. Their importance stems not only from the fact that they transcend the composite fermion f
Externí odkaz:
http://arxiv.org/abs/2410.03896
Autor:
Das, Shrabon, Mali, Ankur
This study explores the learnability of memory-less and memory-augmented RNNs, which are theoretically equivalent to Pushdown Automata. Empirical results show that these models often fail to generalize on longer sequences, relying more on precision t
Externí odkaz:
http://arxiv.org/abs/2410.03154
This study investigates the learnability of Recurrent Neural Networks (RNNs) in classifying structured formal languages, focusing on counter and Dyck languages. Traditionally, both first-order (LSTM) and second-order (O2RNN) RNNs have been considered
Externí odkaz:
http://arxiv.org/abs/2410.03118
Autor:
Rahman, Md Maklachur, Tutul, Abdullah Aman, Nath, Ankur, Laishram, Lamyanba, Jung, Soon Ki, Hammond, Tracy
Mamba is emerging as a novel approach to overcome the challenges faced by Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in computer vision. While CNNs excel at extracting local features, they often struggle to capture long-range
Externí odkaz:
http://arxiv.org/abs/2410.03105
We developed a new class of soft locomotive robots that can self-assemble into a preprogrammed configuration and vary their stiffness afterward in a highly integrated, compact body using contracting-cord particle jamming (CCPJ). We demonstrate this w
Externí odkaz:
http://arxiv.org/abs/2410.02974