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pro vyhledávání: '"Akash, Kumar"'
Autor:
Elahi, Khandakar Md Asif, Bharadwaj, Somnath, Chatterjee, Suman, Sarkar, Shouvik, Choudhuri, Samir, Sethi, Shiv, Patwa, Akash Kumar
Missing frequency channels pose a problem for estimating $P(k_\perp,k_\parallel)$ the redshifted 21-cm power spectrum (PS) from radio-interferometric visibility data. This is particularly severe for the Murchison Widefield Array (MWA), which has a pe
Externí odkaz:
http://arxiv.org/abs/2410.11380
A very pressing question in contemporary physics is the identity of Dark Matter (DM), and one that has not been answered affirmatively to any degree so far. Primordial Black Holes (PBHs) are one of the most well-motivated DM candidates. Light enough
Externí odkaz:
http://arxiv.org/abs/2409.10617
Autor:
Chi, Vivienne Bihe, Ulwelling, Elise, Salubre, Kevin, Mehrotra, Shashank, Misu, Teruhisa, Akash, Kumar
Service robots are increasingly deployed in public spaces, performing functional tasks such as making deliveries. To better integrate them into our social environment and enhance their adoption, we consider integrating social identities within delive
Externí odkaz:
http://arxiv.org/abs/2409.07815
Autor:
Scott-Sharoni, Sidney T., Mehrotra, Shashank, Salubre, Kevin, Song, Miao, Misu, Teruhisa, Akash, Kumar
Micromobility devices, such as e-scooters and delivery robots, hold promise for eco-friendly and cost-effective alternatives for future urban transportation. However, their lack of societal acceptance remains a challenge. Therefore, we must consider
Externí odkaz:
http://arxiv.org/abs/2409.03153
Accurately retrieving relevant bid keywords for user queries is critical in Sponsored Search but remains challenging, particularly for short, ambiguous queries. Existing dense and generative retrieval models often fail to capture nuanced user intent
Externí odkaz:
http://arxiv.org/abs/2407.14346
Autor:
Valluri, Ravisri, Mohankumar, Akash Kumar, Dave, Kushal, Singh, Amit, Jiao, Jian, Varma, Manik, Sinha, Gaurav
Generative Retrieval introduces a new approach to Information Retrieval by reframing it as a constrained generation task, leveraging recent advancements in Autoregressive (AR) language models. However, AR-based Generative Retrieval methods suffer fro
Externí odkaz:
http://arxiv.org/abs/2406.06739
Autor:
Chatterjee, Suman, Elahi, Khandakar Md Asif, Bharadwaj, Somnath, Sarkar, Shouvik, Choudhuri, Samir, Sethi, Shiv, Patwa, Akash Kumar
Drift scan observations provide the broad sky coverage and instrumental stability needed to measure the Epoch of Reionization (EoR) 21-cm signal. In such observations, the telescope's pointing center (PC) moves continuously on the sky. The Tracking T
Externí odkaz:
http://arxiv.org/abs/2405.10080
Temporal expression (TE) normalization is a well-studied problem. However, the predominately used rule-based systems are highly restricted to specific settings, and upcoming machine learning approaches suffer from a lack of labeled data. In this work
Externí odkaz:
http://arxiv.org/abs/2404.07775
We propose leveraging prosocial observations to cultivate new social norms to encourage prosocial behaviors toward delivery robots. With an online experiment, we quantitatively assess updates in norm beliefs regarding human-robot prosocial behaviors
Externí odkaz:
http://arxiv.org/abs/2403.19027
Humans' internal states play a key role in human-machine interaction, leading to the rise of human state estimation as a prominent field. Compared to swift state changes such as surprise and irritation, modeling gradual states like trust and satisfac
Externí odkaz:
http://arxiv.org/abs/2312.10209